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For the electroencephalogram- (EEG-) based motor imagery (MI) braincomputer interface (BCI) system, more attention has been paid to the advanced machine learning algorithms rather than the effective MI training protocols over past two decades. However, it is crucial to assist the subjects in modulating their active brains to fulfill the endogenous MI tasks during the calibration process, which will facilitate signal processing using various machine learning algorithms. Therefore, we propose a trial-feedback paradigm to improve MI training and introduce a non-feedback paradigm for comparison. Each paradigm corresponds to one session. Two paradigms are applied to the calibration runs of corresponding sessions. And their effectiveness is verified in the subsequent testing runs of respective sessions. Different from the non-feedback paradigm, the trial-feedback paradigm presents a topographic map and its qualitative evaluation in real time after each MI training trial, so the subjects can timely realize whether the current trial successfully induces the event-related desynchronization/event-related synchronization (ERD/ERS) phenomenon, and then they can adjust their brain rhythm in the next MI trial. Moreover, after each calibration run of the trial-feedback session, a feature distribution is visualized and quantified to show the subjects' abilities to distinguish different MI tasks and promote their self-modulation in the next calibration run. Additionally, if the subjects feel distracted during the training processes of the non-feedback and trial-feedback sessions, they can execute the blinking movement which will be captured by the electrooculogram (EOG) signals, and the corresponding MI training trial will be abandoned. Ten healthy participants sequentially performed the non-feedback and trial-feedback sessions on the different days. The experiment results showed that the trial-feedback session had better spatial filter visualization, more beneficiaries, higher average off-line and on-line classification accuracies than the non-feedback session, suggesting the trialfeedback paradigm's usefulness in subject's self-modulation and good ability to perform MI tasks. [ABSTRACT FROM AUTHOR]

Karst landscapes are of great importance due to their role in providing vital water resources. However, these areas face a high risk of resource pollution, which is a significant concern. This study aimed to identify pollution-prone zones within the Tekab Catchment. The research utilized topographic maps (1:50,000 scale), a 1:100,000 geological map, and a 12.5-m digital elevation model derived from Landsat satellite imagery. Key analytical tools included ArcGIS and ENVI software. The study was conducted in two stages. First, the (Concentration, Overlapping, and Protection (COP) method was employed to delineate areas vulnerable to pollution. Second, the trend of residential expansion towards these vulnerable zones was assessed. The COP model results indicated that approximately 33% of the catchment area, primarily the northwestern and southern regions, exhibited high to very high pollution vulnerability. This was attributed to the underlying lithology, land cover type, hydroclimatic conditions, and geomorphological characteristics. Furthermore, evaluation of land use changes revealed that the built-up area had increased from 8 km² in 1990 to 19 km²in 2019. Consequently, the southern and northwestern parts of the Tekab Catchment were facing heightened vulnerability due to both their inherent pollution potential and the ongoing expansion of human settlements. These findings underscored the critical need for targeted management strategies to protect the valuable water resources within the Tekab Catchment, particularly in the identified high-risk zones, and ensure the long-term sustainability of this important karst landscape. [ABSTRACT FROM AUTHOR]

The study targets to assess the potential of Interferometric Synthetic Aperture Radar (InSAR) in detecting ground distortion caused by earthquakes. The inSAR technique integrates Synthetic Aperture Radar (SAR) and interferometry to reveal the slightest changes on the earth's surface through a specified period, impregnable to climate or time of day. The research analyses some scholarly articles to demonstrate the interest of InSAR in examining earthquakes and their outcome. These articles demonstrate the practical application of InSAR in enhancing fault slip analysis, ground deformation assessment, and early post-seismic changes in earthquakes. InSAR is beneficial with measurements from other tools, such as GPS and time series analysis, but it still offers valuable insights into earthquake characteristics and associated effects. The insights from these methodologies can help devise solutions to mitigate the impacts of earthquakes. In addition, the paper presents information about three earthquake swarm events and their corresponding fault types. The first event occurred on November 12th, 2017, while the second happened on November 25th, 2018. Despite their differences in magnitude and location, the second event was associated with a strike-slip fault. InSAR provides extensive practical applications, from natural hazard monitoring to infrastructure projects and topographic mapping. [ABSTRACT FROM AUTHOR]

Engineering works greatly influence the lateral channel migration (LCM) of meandering rivers. We aimed to characterise the spatiotemporal characteristics of LCM during the last 174 years of the almost freely meandering Upper Rába (Hungary) and to identify units with distinctive LCM histories. The studied Rába’s reach has been regulated just at some points. Due to the free meandering, its length varied between 119 and 133 km. The most intensive length increase (+291 m/y) took place between 2005 and 2008, and by the end of the process, the sinuosity had reached its historical maximum (SI2018= 1.93). The mean LCM was 3.3 m/y (1844-2018). The periods with intensive channel migration (max: 24-27 m/y) were followed by periods with low migration rates. Based on local channel morphology and LCM rates, 14 units were identified. The highest LCM rate was measured in the freely migrating units (R5: 5.8 m/y; R3: 4.4 m/y and R6 4.0 m/y). [ABSTRACT FROM AUTHOR]

Gambling activity evolves along a continuum from recreational to Gambling Disorder (GD) and a particular challenge is to identify whether there are some neurophysiological particularities already present in gamblers at an early stage. Our main goal was to determine whether, in the gamblers' population, neural responses generated during uncertain decisions were different depending on problematic gambling risk defined by the Canadian Problem Gambling Index (CPGI). We tested the following hypothesis, that the Problem Gambling group would show a different brain activity related to outcomes processing than people with low risk. For this purpose, we established a relatively homogeneous population of Online Poker Players divided into two groups according to the CPGI (Low Risk and Problem Gambling). By means of high-density EEG, we compared the spatio-temporal dynamics generated during the completion of the Iowa Gambling Task. One specific topographic map was observed between 150–175 ms after a negative outcome for both groups, whereas it was displayed in the win condition only for the Problem Gambling group. We found that the Global Field Power of this map was negatively correlated with participants' adherence to a strategy. Source localization identified Anterior Cingulate Cortex and Temporal regions as generators of this map. Reward hypersensitivity EEG responses identified in the early outcome process could constitute a potential biomarker of problematic gambling. [ABSTRACT FROM AUTHOR]

The paper focuses on the historical distribution of haylofts in Slovakia, geographical conditions related to hay meadows with haylofts, and land cover changes of former hayloft localities. Moreover, the current state of preserved haylofts and the land use of their surrounding area were documented at a regional scale, during the field research. A map of the historical occurrence of haylofts was digitised based on the Czechoslovakian military topographic maps from 1952–1957 (1:25,000). Altogether, 9,742 haylofts were recorded. The haylofts were usually built in mountain and sub-mountain areas on places with low soil quality, mostly at higher elevations, on moderate or moderately steep slopes and in more distant and isolated areas. About half of former hayloft meadows now exist as meadows or pastures with different intensity of grassland management. Forest or shrubs already cover the other 38% of the sites. To a lesser extent, the areas have been converted into arable land or recreational areas. Only a few haylofts have survived to this day; for example, in Upper Liptov Region, it is only 1% of their former abundance in this area (48 haylofts). Apart from a few positive cases where they have been restored or preserved, those that have survived continue to decay. [ABSTRACT FROM AUTHOR]

As the Rural Revitalization Strategy continues to progress, there is an increasing demand for the digitization of rural houses, roads, and roadside trees. Given the characteristics of rural areas, such as narrow roads, high building density, and low-rise buildings, the precise and automated generation of outdoor floor plans and 3D models for rural areas is the core research issue of this paper. The specific research content is as follows: Using the point cloud data of the outer walls of rural houses collected by backpack LiDAR as the data source, this paper proposes an algorithm for drawing outdoor floor plans based on the topological relationship of sliced and rasterized wall point clouds. This algorithm aims to meet the needs of periodically updating large-scale rural house floor plans. By comparing the coordinates of house corner points measured with RTK, it is verified that the floor plans drawn by this algorithm can meet the accuracy requirements of 1:1000 topographic maps. Additionally, based on the generated outdoor floor plans, this paper proposes an algorithm for quickly generating outdoor 3D models of rural houses using the height information of wall point clouds. This algorithm can quickly generate outdoor 3D models of rural houses by longitudinally stretching the floor plans, meeting the requirements for 3D models in spatial analyses such as lighting and inundation. By measuring the distance from the wall point clouds to the 3D models and conducting statistical analysis, results show that the distances are concentrated between −0.1 m and 0.1 m. The 3D model generated by the method proposed in this paper can be used as one of the basic data for real 3D construction. [ABSTRACT FROM AUTHOR]

The state of Hawaii is a series of mountainous islands with a topography that is much more complex than the simple isolated hills and escarpments included in ASCE standard ASCE/SEI 7-22 (Minimum design loads and associated criteria for buildings and other structures, ASCE 7). Hawaii state and county building codes have incorporated topographic wind speed mapping since 2007. In 2010, ASCE 7-10 recognized Hawaii as a special wind region. The design wind speed maps, Kzt maps, and site-specific directionality factors as adopted in Hawaii's state building codes constituted the "special Kzt topographic effect adjustments" of the authority having jurisdiction that were referenced in ASCE 7-10. In ASCE 7-16 and ASCE 7-22, microzoned wind speed maps for Hawaii, including the effect of topography and directionality, were incorporated for strength design return periods. This paper provides information on the development of an improved generation of higher-resolution basic design wind speed maps for the state of Hawaii, including better accuracy of topographic and directionality effects. The digital format of these wind speed maps can be readily incorporated into the ASCE 7 digital hazard tool interfaces. [ABSTRACT FROM AUTHOR]

In order to solve the problems of low work efficiency, poor measurement accuracy, and high safety hazards of traditional surveying and mapping techniques in railway construction in high-altitude areas, by using a vertical fixed-wing UAV flight platform equipped with an oblique photography camera, a complete aerial photogrammetry technology workflow was established based on the terrain characteristics and survey requirements of high-altitude areas. The use of UAV oblique photogrammetry technology to complete railway field survey work could effectively reduce the field workload of railway survey in high-altitude areas. From the comparison and analysis of checkpoint data, it can be seen that the MSE in the plane of the checkpoint is 0.06 m, and the MSE in the elevation is 0.12 m, which meets the accuracy requirements of topographic maps and real scene 3D models. The research results indicate that UAV oblique photogrammetry technology can provide production projects with high-definition images, terrain map data, and 3D models. UAV have advantages such as mobility, flexibility, and are not limited by terrain and features, which can improve production efficiency, reduce operating costs, and significantly reduce safety hazards in high-altitude areas. [ABSTRACT FROM AUTHOR]

Railway surveying is one of the important tasks in China's railway construction engineering. Through the unremitting efforts of several generations of railway surveyors, Chinese railway surveying technology has evolved from pure manual surveying and mapping at the beginning of the founding of the People's Republic to the current state of digitalization and automation, and is advancing towards intelligent surveying. This paper systematically summarized and reviewed the development history of surveying techniques in Chinese railway surveying process, including primary control surveying, 1:10 000 topographic mapping, 1:2 000 topographic mapping, centerline surveying, cross-section surveying, site topographic mapping, and existing railway surveying. It also studies the use of UAV LiDAR technology for special surveying tasks such as centerline and intersection surveying for new railways, achieving precision that meets the 10 cm limit requirement. New methods for conducting various surveying tasks on existing railways based on mobile laser scanning technology and UAV oblique photography surveying technology were introduced. The surveying precision essentially meets the requirements for existing railway centerline surveying with a planar detection limit difference of no more than 3cm and a general terrain elevation detection limit difference of no more than 5 cm. [ABSTRACT FROM AUTHOR]

In recent decades, watersheds in the middle Himalayan belt have witnessed land degradation, flood, and landslide disasters. Growing population pressure, intensified use of watershed resources, and development activities—often alleged injudicious, have brought resource productivity and availability to the edge of unsustainability. The threat to precarious ecological balance, sustainable livelihood, and disaster risk is underpinning issues of densely populated Himalayan watersheds. Hence, understanding the essential physical characteristics of watersheds vis-à-vis human dimensions is essential for assessing and prioritizing the watersheds intended for ecological restoration, landslide and erosion control, and disaster risk reduction in upstream and downstream zones. Following these issues, this study using a geographical approach examines watershed variables representing susceptibility, hydrological and geomorphic response, land use, and human pressure to assess sub-watershed conditions and prioritize sub-watersheds. The study used high-resolution satellite imageries, digital elevation model, topographic and geological maps, rainfall and socioeconomic data from government sources to obtain the watershed variables. These variables were analyzed in the GIS platform. The leading variables and their relative importance were identified for assessing the watershed conditions by analyzing the correlation matrix, and AHP supported the expert judgment. These variables are mean basin slope, lineament density, drainage density, landslides, population density, and non-forest-forest ratio. The sub-watersheds condition of the Syangja District was assessed. The calculated overall vulnerability of sub-watersheds is positively related to susceptibility, poor land management, and human pressure index. The present study provided a methodological basis for assessing and prioritizing the watershed condition. [ABSTRACT FROM AUTHOR]

The Loess Plateau area, with complex geomorphological features and geological structure, is highly prone to geologic disasters such as landslides and debris flow, which cause great losses. To investigate the initiation mechanism of landslide and debris flow disasters and their spreading patterns, historical satellite images in the Laolang gully were collected and digitized to generate three-dimensional topographic and geomorphological maps. Typical landslides were selected for landslide thickness measurement using a standard penetrometer and high-density electrical method. Numerical models were established to simulate the occurrence and development of landslides under different working conditions and to evaluate the spreading range based on the propagation algorithm and friction law. The results show that the 10 m resolution DEM data are well matched with the potential hazard events observed in the field site. The smaller the critical slope threshold, the greater the extent and distance of landslide spreading. The larger the angle of arrival, the greater the energy loss, and therefore the smaller the landslide movement distance. The results can provide scientific theoretical guidance for the prevention and control of rainfall-induced landslide and debris flow disasters in the Loess Plateau area. [ABSTRACT FROM AUTHOR]

1-Introduction In recent years, the increasing trend of the population has caused urban areas to face a lot of physical development, the share of developing countries has been higher than that of developed countries. Physical development in many areas has caused rapid changes in land use and increased environmental degradation. Therefore, the physical development of cities is considered as one of the main factors that change the surface of the earth. Studies have shown that the urban areas of Iran, due to their unlimited and unplanned expansion, have encroached on the natural environments and destroyed them, which has increased the potential for natural hazards such as floods in these areas. Has been considering the mentioned cases, more supervision should be done on the physical development of cities, especially flood-prone cities. Saghez city in Kurdistan province is one of the flood-prone cities that have faced a lot of physical development in recent years. Due to its economic and social situation, this city has faced a large population growth in recent years, which has caused the significant physical development of this city and as a result, the development of residential areas into flood-prone areas. Considering the importance of the topic, in this research, the physical development of Saghez city towards flood-prone areas has been investigated. 2-Methodology In this research, in order to achieve the desired goals, descriptive-analytical methods have been used. The research data includes topographic maps 1:50000 and geological maps 1:100000, a digital elevation model of 30 meters, as well as Landsat satellite images (Table 1). Research tools include Arc GIS, ENVI and IDRISI. The models used in the research also include the integrated model of fuzzy and AHP (in order to identify flood-prone areas) as well as the LCM model (in order to evaluate the physical development process of Saghez city towards flood-prone areas). This research has been done in two stages. In the first stage, in order to prepare the flood potential map of the study area, 6 parameters of height, slope, slope direction, distance from the river, and type of lithology and land use have been used. In the second stage, in order to evaluate the process of physical development of Saghez city towards flood-prone areas, the LCM model has been used. At this stage, after preparing the land use maps, the prepared maps were entered into the IDRISI software and using the LCM model, the trend of land use changes in the study area was evaluated. 3-Results The results of the flood zoning of Saghez city have shown that the middle areas of the range have the highest flood potential due to the proximity to the Saghez River, low altitude and slope. Also, the results obtained from the satellite images have shown that the city of Saghez had an area of about 6.5 square kilometers in 1369, which increased by 1.1 square kilometers to 7.6 square kilometers in 2000. In continuation of the physical development process of this city, the area of residential areas increased to 10.2 and 16.6 square kilometers by 2019 and 2019, respectively. Based on this, the maximum amount of physical development with 5.5 square kilometers was related to the time period of 1389 to 1399. Also, the results of the physical development of cities towards flood-prone areas show that in 1369, 3.8 square kilometers of residential areas were exposed to the risk of flooding, and from this amount to 1379, 1389 and 1399, respectively, 3 It has increased by 4.1, 5.1 and 2.7 square kilometers. Based on this, the highest amount of development towards flood-prone areas with 1.9 square kilometers was related to the time period from 2010 to 2020. 4-Discussion & Conclusions The increasing trend of population and physical development of urban areas has caused a large part of population areas to move towards flood-prone areas in recent years. The results of this research have shown that the middle parts of the study area have a high flood potential due to their proximity to the river, low altitude and slope. The results of the evaluation of the physical development of the city of Saghez also indicate that this city has faced a lot of development during the years 1369 to 1399, and based on the results, the city of Saghez had an area of about 6.5 square kilometers in 1369, which is 2019 has increased to 16.7 square kilometers. The results of the evaluation of the physical development process of Saghez towards flood-prone areas indicate that in 1369, about 3.8 square kilometers were exposed to floods, which increased to 2.7 square kilometers in 1399. Also, the results of the evaluation of land use changes indicate that during the studied time period, 8.8 square kilometers of pastures, 0.6 of agricultural lands and 0.8 of pastures have been converted into residential areas, the highest amount of which is related to It was the eastern areas of Saghez city. According to the mentioned cases, a large part of the city of Saghez has moved towards flood-prone areas in recent years, which indicates the lack of monitoring of the physical development of this city. [ABSTRACT FROM AUTHOR]

Local terrain or microsite conditions influence the development of trees, particularly at early ages. These conditions might be described by edaphic or topographic variables. We mapped soil and topographic variables from four even-aged and even-spaced cork oak plantations located in two climatically distinct Portuguese regions. The major goal of this research was to understand the relation between soil and topographic fine-scale conditions and tree growth expressed by diameter without cork annual growth (idu). The methodology consisted in (1) analysing the spatial variability and autocorrelation of idu; (2) modelling idu with ordinary least squares (OLS) regressions; (3) comparing with spatial modelling of idu, incorporating spatial autocorrelation. The driest stands A and B, exhibited weaker spatial autocorrelation, distributed in smaller clusters (R2 < 0.03, OLS models), while stands C (R2 = 0.18, OLS models) and D (R2 = 0.11, OLS models) showed higher predictive capacity. Spatial models increased R2 scores, keeping most variables from OLS models and accounting for spatial autocorrelation. A + B + C + D OLS model obtained an R2 = 0.34 and respective spatial model R2 = 0.58. Apparent electrical conductivity at 0.5 (ECa0.5) and 1 m of soil depth, slope, elevation and topography position index were included as predictors (OLS), but only ECa0.5, slope and elevation were selected in the spatial model. Models were fitted using average to high productivity stands and should be used cautiously outside this range. Local terrain conditions determine the growth of young cork oak trees. Mapping soil and topographic variables before establishing new plantations may identify limiting microsite conditions where using cork oak species is not suitable due to low growth rates expectations. [ABSTRACT FROM AUTHOR]

At the end of the Pleniglacial and the first half of the Late Glacial period, approximately between 18 and 14 ka BP, rivers of the central and southern parts of the East European Plain had channels up to 10 times as large as the present day channels of the same rivers. These ancient channels, called large meandering palaeochannels, are widespread in river floodplains and low terraces. The hydrological regime of these large rivers is of great interest in terms of the palaeoclimatology of the late Marine Isotope Stage 2 (MIS 2). In this study, we aimed at quantitative estimation of maximum flood discharges of rivers in the Dnepr, Don and Volga basins in the late MIS 2. To approach this, we used massive measurements of the morphometric characteristics of large palaeochannels on topographic maps and remote sensing data—palaeochannel width, meander wavelength and their relationships with river flow parameters. The runoff depth of the maximum flood, which corresponds to the maximum depth of daily snow thaw during the snowmelt period, was obtained for unit basins with an area of <1000 km2. The mean value for the southern megaslope of the East European Plain was 44.2 mm/day (6 times the modern value), with 46 mm/day for the Volga River (5.5 times), 45 mm/day (6.3 times) for the Don River and 39 mm/day (8 times the modern value) for the Dnepr River basins. In general, the Dnepr basin was drier than the Don and Volga basins, which corresponds well to the modern distribution of humidity. At the same time, the westernmost part of the Dnepr River basin was relatively wet in the past, and the decrease in humidity from the past to the modern situation was greater there than in the eastern and central regions. The obtained results contradict the prevailing ideas, based mainly on climatic modeling and palynological data, that the climate of Europe was cold and dry during MIS 2. The reason is that palaeoclimatic reconstructions were made predominantly for the LGM epoch (23–20 ka BP). On the East European Plain, the interval 18–14 ka BP is rather poorly studied. Our results of paleoclimatological and palaeohydrological reconstructions showed that the Late Pleniglacial and the first half of the Late Glacial period was characterized by a dramatic increase in precipitation and river discharge relative to the present day. [ABSTRACT FROM AUTHOR]

Quantification of soil water-physical properties and their spatial variation is important to better predict soil structure and functioning, as well as associated spatial patterns in the vegetation. The provision of site-specific soil data further facilitates the implementation of enhanced land use and management practices. Using geostatistical methods, this study quantified the spatial distribution of soil bulk density (SBD), soil moisture (SM), capillary water-holding capacity (CWHC), capillary porosity (CP), non-capillary porosity (NCP), and total porosity (TP) in southern subtropical forests located at the Tropical Forest Research Center in Pingxiang City, China. A topographic map (scale = 1:10,000) was used to create a grid of l km squares across the study area. At the intersections of the grid squares, the described soil water-physical properties were measured. By calculating the coefficient of variation for each soil water-physical property, all measured soil water-physical properties were found to show moderate spatial heterogeneity. Exponential, gaussian, spherical, and linear models were used to fit the semivariograms of the measured soil water-physical properties. Across all soil water-physical properties, the range A0 variable (i.e., the separation distance between the semivariance and the sill value) measured between 3419 m and 14,156 m. The nugget-to-sill ratio ranged from 9 to 41%, indicating variations in the level of spatial autocorrelation among the soil water-physical properties. Many of the soil water-physical properties were strongly correlated (as assessed using Pearson correlation coefficients). Spatial distribution maps of the soil water-physical properties created via ordinary kriging (OK) showed that most water-physical properties had clumped (aggregated) distributions. SBD showed the opposite spatial pattern to SM and CWHC. Meanwhile, CP and TP showed similar distributions. [ABSTRACT FROM AUTHOR]

The geospatial techniques are being used in this research to determine the depths, trends, water levels, and likely groundwater zones in the Deori Tehsil. In the research area, topography maps of India and water quality analysis are used to define physical parameters for the inverse distance weighting (IDW) interpolation method. The soil slopes from 150 to 300 m at this point. With the branches of Navegaon Mountain and Chichgarh Hills to the south of it, it is situated 302 m above sea level. The study shows that the pre-monsoon water levels in the deeper aquifer range from 5.7 to 14.85 mbgl in May 2021, and the post-monsoon water levels in the deeper aquifer range from 0.2 to 2.5 mbgl in November 2021. This study region has the highest drinkable water quality (41.27%), followed by excellent water (17.46%) and good water (23.81%). This is because there is not much urbanization in the area, the water quality is excellent, and there is developed agricultural land nearby. There, the quality of the water appears to have declined. It has a capacity of 30.16% for bad water, 7.94% for unsuitable water, and 20.63% for extremely poor water, all of which are good for drinking and farming. [ABSTRACT FROM AUTHOR]

In order to solve the problem of inaccurate image feature extraction caused by traditional extraction methods, this paper proposes a remote sensing image size extraction method based on nonlinear multi feature fusion for topographic maps. In this paper, SVM and DS evidence theory are combined to extract image features and classify pre processed remote sensing images. Based on the classification results, basic probability distributions are constructed, and a DS fusion algorithm using matrix analysis is introduced to simplify the complexity of decision level fusion algorithms; We use a multi feature fusion algorithm based on feature proximity, using the proximity vector formed by the attraction between the feature vector and the original graphics pattern as the fusion feature to complete the extraction of remote sensing image features. The simulation results show that after using this method, its soft threshold classifier outputs 0.9865, 0.9965, 0.7852, 0.9921, 0.9847, 0.6879, -0.5898, -0.5678, -0.6897, -0.4785. The algorithm in this paper can distinguish the shape features of terrain images well, and can extract the features of terrain images more accurately, which has strong feasibility. [ABSTRACT FROM AUTHOR]

Plastic pollution, particularly in oceans, is a growing environmental threat. Monitoring this pollution is challenging due to the shortage of data and tools. Remote sensing offers a promising solution by using various types of satellite and aerial images to detect and track plastic waste movement. Purpose. The study aims to establish a plastic waste map using remote sensing technology, focusing on the case study of the coastal area of Thanh Hoa province, Vietnam. Methodology. The study involves several steps, including the collection of plastic waste data (samples in the case study and indices from remote sensing images) as well as topographic and base map collection, statistics of plastic samples, grid design, calculation, interpolation, accuracy assessment, and mapping. Field surveys involved taking pictures of plastic debris along designated routes and a grid system was used to classify and calculate waste samples. Satellite images, especially Sentinel-2 MSI optical satellite imagery, are utilized to identify water areas of high plastic concentration. Findings. A map of plastic wastes in coastal areas of Thanh Hoa was created, with indices like NDWI (Normalized Difference Water Index) and FDI (Floating Debris Index) helping identify potential plastic waste signals. The resulting map reveals high concentrations of plastic waste in sea areas near the major river mouths of the Ma River basin and tourist areas, which aligns with areas of high human activity. Originality. This is the first study of plastic waste in the coastal area using remote sensing data in Thanh Hoa province, Vietnam. Practical value. This study can contribute to the effective management of marine plastic waste in Thanh Hoa while opening up opportunities for applying the method to create marine plastic waste maps throughout Vietnam and foster long-term monitoring and management. [ABSTRACT FROM AUTHOR]

Towards the end of World War II, from January 1945, British/Canadian forces supplemented the use of topographical maps by compiling innovative specialist thematic maps to assist troops advancing eastwards from Belgium and the Netherlands into north-west Germany. ‘Soil’ maps were used to predict (1) cross-country trafficability and (2) potential airfield construction sites. Intensive bombardment of ground that was unexpectedly waterlogged as well as deliberate flooding by the enemy created mud which initially slowed cross-country movement. So too did determined German military resistance: the campaign included arguably the bloodiest operation for troops of 21st Army Group since their battle for Normandy in the summer of 1944. Significant maps, mostly at 1:100,000, are now preserved in England within the Shotton Archive at the Lapworth Museum of Geology, Birmingham. Together with expertise from geologists Major F.W. Shotton and Squadron Leader J.F. Kirkaldy, the maps contributed to terrain analysis that assisted with operational planning. [ABSTRACT FROM AUTHOR]

The introduction of unmanned aerial vehicles (UAVs) and their deployment as tools for terrain information gathering has prompted discussions regarding the quality of the resulting products and the potential for their extended applications in geomatics. This study specifically focuses on evaluating the utilization and capabilities of UAV photogrammetry in generating topographic maps, with a primary emphasis on assessing the accuracy of these maps. An area of approximately 2.65 km2 of the New Administrative Capital in Cairo, Egypt, was captured using a DJI M300 RTK drone. Agisoft Metashape and Pix4Dmapper software were used to process digital images to produce orthophotos and digital surface models. The precision of direct geo-referencing was evaluated by utilizing common tie points extracted by the user and the onboard GPS camera positions recorded during flight. Horizontal and vertical RMSEs were measured at 0.069 m and 0.593 m for Pix4Dmapper and 0.062 m and 0.548 m for Agisoft Metashape, respectively. Notably, direct geo-referencing exhibited lower accuracy, particularly in the vertical dimension. In the 7-GCP scenario, when combined with indirect geo-referencing, both software packages achieved the highest accuracy, with radial RMSEs of 0.023 m and 0.054 m and vertical RMSEs of 0.038 m and 0.052 m, respectively, corresponding to a pixel size of 1.7–2.2 times the ground sampling distance (GSD). In summary, this study affirms the efficacy of utilizing UAV photogrammetry in creating digital maps, orthophotos, contour lines, digital terrain models, digital surface models, and line maps, all aligning with globally recognized standards. [ABSTRACT FROM AUTHOR]

Historical topographic maps are an important source of a visual record of the landscape, showing geographical elements such as terrain, elevation, rivers and water bodies, roads, buildings, and land use and land cover (LULC). Historical maps are scanned to their digital representation, a raster image. To quantify different classes of LULC, it is necessary to transform scanned maps to their vector equivalent. Traditionally, this has been done either manually, or by using (semi)automatic methods of clustering/segmentation. With the advent of deep neural networks, new horizons opened for more effective and accurate processing. This article attempts to use different deep‐learning approaches to detect and segment wetlands on historical Topographic Maps 1: 10000 (TM10), created during the 50s and 60s. Due to the specific symbology of wetlands, their processing can be challenging. It deals with two distinct approaches in the deep learning world, semantic segmentation and object detection, represented by the U‐Net and Single‐Shot Detector (SSD) neural networks, respectively. The suitability, speed, and accuracy of the two approaches in neural networks are analyzed. The results are satisfactory, with the U‐Net F1 score reaching 75.7% and the SSD object detection approach presenting an unconventional alternative. [ABSTRACT FROM AUTHOR]

The timing of semantic processing during object recognition in the brain is a topic of ongoing discussion. One way of addressing this question is by applying multivariate pattern analysis to human electrophysiological responses to object images of different semantic categories. However, although multivariate pattern analysis can reveal whether neuronal activity patterns are distinct for different stimulus categories, concerns remain on whether low-level visual features also contribute to the classification results. To circumvent this issue, we applied a cross-decoding approach to magnetoencephalography data from stimuli from two different modalities: images and their corresponding written words. We employed items from three categories and presented them in a randomized order. We show that if the classifier is trained on words, pictures are classified between 150 and 430 msec after stimulus onset, and when training on pictures, words are classified between 225 and 430 msec. The topographical map, identified using a searchlight approach for cross-modal activation in both directions, showed left lateralization, confirming the involvement of linguistic representations. These results point to semantic activation of pictorial stimuli occurring at ∼150 msec, whereas for words, the semantic activation occurs at ∼230 msec. [ABSTRACT FROM AUTHOR]

Intersectional perspectives on the configuration and effects of discrimination and inequality on youth are currently a growing focus of research. Here we present a study on the spatialities of perceived discrimination among 88 young people (aged 14–16 years old) in Catalonia through a methodological approach that combines and integrates quantitative and qualitative data on intersectional dynamics. By analysing the dis/comforts caused by diverse axes of inequality, we show how discrimination and inequality on the grounds of gender, sexual orientation, origin, religion, nationality and physical appearance are experienced differently at home, at secondary school, on social networks and in public spaces depending on the youths' social positions and their interrelations. By doing so, we contribute to debates on the role of place in intersectional inequalities in youth research, showing the complexity of intersectional dynamics and how they are contingent on specific contexts. [ABSTRACT FROM AUTHOR]

Rivers are one of the most complex formations on the Earth's surface; they are connected with the deep structure of the Earth, the landscape environment, and unpredictable weather cataclysms. The study aims to investigate the peculiarities of the geological structure and tectonics of the Lower Dniester region, examine the types of meanders, determine the horizontal displacements of the riverbed, and assess the impact of anthropogenic factors on the riverbed and riparian areas. The methodology is based on the use of tectonic maps, geological maps of Quaternary deposits, historical topographic maps, and satellite images to determine the long-term horizontal displacements of the riverbed, identify meander types, and study the meandering characteristics and their relationships with tectonic structures. Horizontal riverbed displacements were measured at 76 points using data from the 1980 map and a Sentinel-2 image obtained in 2020. For the purpose of studying the types of meanders and their analysis, it is proposed to use the characteristics of meanders and their relationships. This approach will allow for more efficient analysis and prediction of changes in channel processes under the influence of natural and anthropogenic factors across various temporal scales. The research shows that the Lower Dniester region is influenced by the tectonics of internal structures and the seismically active Vrancea zone in Romania. Additionally, a comparison of cartographic data from 1880 and 1980 and satellite images from 2020 allows us to assess how the territory of the Lower Dniester riparian area has changed under the influence of anthropogenic factors. [ABSTRACT FROM AUTHOR]

In the 21st century, climate change and its consequences are getting more serious. The changes in temperature and precipitation alter the run-off conditions, subsequently influencing the channel processes of rivers. The study aims to analyse the hydrological changes in a small, sub-alpine river (Rába/Raab River, Central Europe) and the bank erosional processes (1951–2024). The bank erosion was determined based on topographical maps, aerial photographs, and field (RTK–GPS) surveys. Short (2–3 days) floods were common between 1950 and 1980, and low stages occurred in 65–81% of a year. However, extreme regimes developed in the 21st century, as record-high, flash floods altered with long low stages (91–96% of a year). The bank erosion shows a cyclic temporal pattern, gradually increasing until it reaches a high value (4.1–4.9 m/y), followed by a limited erosional rate (2.2–2.8 m/y). However, the magnitude of the bank erosion is decreasing. This could be explained by (1) the lower transport capacity of the more common low stages and (2) the seasonal shift of the flood waves, which appear in the growing season when the riparian vegetation can more effectively protect the banks from erosion. [ABSTRACT FROM AUTHOR]

Debris floods commonly occur in steep channels with an abundant sediment supply, and they can cause significant damage, primarily due to their higher sediment concentrations and negative impacts upon bank erosion, deep scouring and aggradation. These key hazards pose challenges for traditional assessment methods, making quantification difficult. This became obvious during a recent catastrophic debris flood that occurred on July 12, 2022, in the Heishuigou catchment (102 km2), northern Sichuan Province, China. In this case study, we developed an integrated methodology for assessing this debris flood event by incorporating field surveys, hydrological and hydraulic modelling and sediment transport calculations. Detailed information such as topographic maps, photographs, deposits, grain size distributions and inundation depths was collected to analyse the material sources, validate the parameters and conduct model calculations. The peak debris flood discharge and the supra‐critical bed shear stress ratios, estimated from hydrological and dynamic models, were incorporated to analyse the debris flood's typology and characterize its destructive mechanisms. The regional frequency–volume relationship established through bedload transport calculations was calibrated using the volume of the deposits determined via field investigation. These methods not only contribute to a comprehensive understanding of debris floods but also provide valuable support for future risk assessments and mitigation designs. [ABSTRACT FROM AUTHOR]

Copyright of Arid Land Geography is the property of Chinese Academy of Sciences, Xinjiang Institute of Ecology & Geography and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The highly glacierized eastern part of the Tibetan Plateau is the key source region for seven major rivers: Yangtze, Yellow, Lancang-Mekong, Nu-Salween, Irrawaddy, Ganges, and Brahmaputra rivers. These rivers are vital freshwater resources for more than one billion people downstream for their daily life, irrigation, industrial use, and hydropower. However, the glaciers have been receding during the last decades and are projected to further decline which will profoundly impact the water availability of these larger river systems. Although few studies have investigated glacier mass changes in these river basins since the 1970s, they are site and temporal specific and limited by data availability. Hence, knowledge of glacier mass changes is especially lacking for years prior to 2000. We therefore applied digital elevation models (DEMs) derived from large scale topographic maps based on aerial photogrammetry from the 1970s and 1980s and compared them to the Shuttle Radar Topography Mission (SRTM) DEM to provide a complete picture of mass change of glaciers in the region. The mass changes are presented on individual glacier bases with a resolution of 30 m and are also aggregated into gridded formats at resolutions of 0.1° and 0.5°. Our database consists of 13117 glaciers with a total area of ~21695 km2. The annual mean mass loss of glaciers is -0.30 ± 0.12 m w.e. in the whole region. This is larger than the previous site-specific findings, the surface thinning increases on average from west to east along the Himalayas-Hengduan mountains with the largest thinning in the Irrawaddy basin. Comparisons between the topographic map-based DEMs and DEMs generated based on Hexagon KH-9 metric camera data for parts in the Himalayas demonstrate that our dataset provides a robust estimation of glacier mass changes. However, the uncertainty is high in high altitudes due to the saturation of aerial photos over low contrast areas like snow surface on a steep terrain. The dataset is well suited for supporting more detailed climatical and hydrological analyses and is available at https://doi.org/10.11888/Cryos.tpdc.301236 (Liu et al., 2024). [ABSTRACT FROM AUTHOR]

This paper presents the experimental results of a study investigating the impact of machining parameters on 3D surface roughness after rough, dry milling. The following 3D roughness parameters were analysed: Sa (arithmetic mean height), Sq (root mean square height), Sz (maximum height), Sku (kurtosis), Ssk (skewness), Sp (maximum peak height), and Sv (maximum pit height). Roughness measurements were made on the end face of the specimens. Additionally, 3D surface topography maps and Abbot-Firestone material ratio curves were generated. Carbide end mills with variable rake and helix angles were used in the study. Experiments were conducted on AZ31B magnesium alloy specimens using a contact-type profilometer. The machining process was conducted using the parameters of so-called high-speed machining. Three variable technological parameters were analysed: cutting speed vc, feed per tooth fz, and axial depth of cut ap. The results showed that the surface roughness of the rough-milled specimens depended to a great extent on the tool geometry and applied machining parameters. Feed per tooth was found to have the greatest impact on surface roughness parameters. Lower values of the analysed surface roughness parameters (and therefore higher surface quality) were obtained (in most cases) for the tools with a rake angle γ of 5° and a helix angle λs of 50°. The results provided both theoretical and practical knowledge about the achievable surface roughness after rough milling using tools with different tool blade geometry. It was shown that rough milling is an effective and efficient type of machining for the AZ31B alloy. [ABSTRACT FROM AUTHOR]

Topographic maps used as the cartographic basis of thematic maps are created on the basis of data from the certain time period and the existing topographic base for the study area was published in 1975-1990, which does not allow visualizing recent changes of the area condition. One way to solve this problem is to use up-to-date data sources. The problem is successfully solved on the basis of visual and automated use of satellites remote sensing data of medium, high and ultra-high spatial resolution. The purpose of this article is to conduct comparative analysis of the Earth remote sensing data using the example of Sentinel 2, Landsat-8 satellite images, to consider methods for processing satellite images and use of remote sensing data to update vector layers of the cartographic basis of thematic maps. As part of the tasks of actualization of the vector layers for updating the cartographic basis of the study area, in this work was used archival and operational medium-resolution data obtained from Landsat and Sentinel-2 series satellites and Sentinel-2 image services, as well as Airbus WorldDEM4Ortho DEM. The work used the methods of GIS technologies and remote sensing, classification of remote sensing data and comparative analysis, visual and automated interpretation. A set of Python scripts has been generated to filter the collection of Sentinel-2 images and to determine cloudiness and cloud shadow. The use of remote sensing data made it possible to cover spacious and inaccessible areas of mountainous regions, significantly reducing the costs of data and processing. As a result, the updated cartographic basis of the studied area was created. The cartographic basis can be used for subsequent analysis of the dynamics and trends in changes of natural and social-economic objects. [ABSTRACT FROM AUTHOR]

Unmanned aerial vehicles equipped with hyperspectral imagers have emerged as an essential technology for the characterization of inland water bodies. The high spectral and spatial resolutions of these systems enable the retrieval of a plethora of optically active water quality parameters via band ratio algorithms and machine learning methods. However, fitting and validating these models requires access to sufficient quantities of in situ reference data which are time-consuming and expensive to obtain. In this study, we demonstrate how Generative Topographic Mapping (GTM), a probabilistic realization of the self-organizing map, can be used to visualize high-dimensional hyperspectral imagery and extract spectral signatures corresponding to unique endmembers present in the water. Using data collected across a North Texas pond, we first apply GTM to visualize the distribution of captured reflectance spectra, revealing the small-scale spatial variability of the water composition. Next, we demonstrate how the nodes of the fitted GTM can be interpreted as unique spectral endmembers. Using extracted endmembers together with the normalized spectral similarity score, we are able to efficiently map the abundance of nearshore algae, as well as the evolution of a rhodamine tracer dye used to simulate water contamination by a localized source. [ABSTRACT FROM AUTHOR]

On August 12, 2015, a catastrophic landslide occurred in Shanyang County, Shaanxi Province, China, resulting in 7 deaths and 53 missing. This study investigates the lifecycle evolution and failure mechanism of the Shanyang landslide with multi-source remote sensing data, emphasizing the critical role of locked segments in the Shanyang landslide. Differential interferometric analysis and deformation decomposition were utilized to reveal the pre-failure deformation pattern of the Shanyang landslide. Creeping deformation was found along the underlying soft layer 4 months prior to the landslide, with the deformation mainly occurring downslope and controlled by the locked segment at the front edge of the slope. The integration of a 1:1000 pre-failure topographic map and a high-precision post-failure digital elevation model determined the landslide volume to be 1.60 × 106 m3 and revealed a maximum travel distance of 500 m. Combining engineering geological zoning with deformation data, the Shanyang landslide was classified as a typical locked-segment-dominated slide in soft-hard interbedded strata, with rainfall as a key deformation influence factor. Finally, using the time series deformation from SBAS-InSAR, the post-failure stability of the landslide area was analyzed. This study demonstrates the potential of integrating multi-temporal remote sensing techniques to identify the entire deformation and destruction process of landslides and their influencing factors, which offers valuable insights for improving early landslide warnings and hazard assessments. [ABSTRACT FROM AUTHOR]

Environmental science classes often ask students to examine changes in species or their environments to determine the human impact on a particular habitat or ecosystem. It is not always practical to take students out for a field study to do this kind of analysis; instead, the scientific method and diversity analyses can be utilized while students compare topographic maps, photographs, or paintings over time. In this article, we present three laboratories that use artwork (e.g., paintings or photographs) to have students examine anthropogenic alterations in the character of landscapes and explore how our connection with nature has changed over time. These laboratories can benefit educators looking for an interdisciplinary STEAM approach to introduce both biology majors and nonmajors to environmental science concepts and the scientific method in a highly relatable way. [ABSTRACT FROM AUTHOR]

The Topographic Chart of the Kingdom of Poland (pol. Topograficzna Karta Królestwa Polskiego, commonly referred to as 'the Quartermaster's Map', hereinafter: TKKP) is the first Polish modern topographic map of Poland (1:126,000, 1843). Cartographic historians acclaim its conception by the General Quartermaster of the Polish Army, noting its editorial principles and technical execution as exemplars of the early 19th-century cartographic standards. Today, it stands as a national heritage relic, furnishing invaluable insights into the former Polish Kingdom's topography. Although extensively utilised in geographical and historical inquiries, the TKKP has yet to undergo a comprehensive geomatic investigation and publication as spatial data services. Primarily, this delay stems from the challenges of mosaicking and georeferencing its 60 constituent sheets, owing to the uncertain mathematical framework and irregular sheet cuts. In 2023, the authors embarked on rectifying this by creating a unified TKKP mosaic and georeferencing the map to contemporary reference data benchmarks. This endeavour involved scrutinising the map's mathematical accuracy and verifying prior findings. The resultant product is accessible via the 'Maps with the Past' platform, developed by the Institute of History of the Polish Academy of Sciences The dissemination of raster data services adhering to OGC standards such as WMTS (Web Map Tile Service), ECW (Enhanced Compression Wavelet), and COG (Cloud Optimized GeoTIFF) facilitates the swift and seamless integration of the generated data into web and GIS tools. The digital edition of the TKKP emerges as a pivotal resource for investigations spanning natural and anthropogenic environmental transformations, sustainable development, and cultural heritage studies. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the vegetation production changes in Khuzestan province, Iran using MODIS data production, meteorological data, vegetation maps as well as topographic and field monitoring data in CASA model. The study area was divided into different climatic classes based on multivariate statistical method, so the vegetation of each climatic region was examined separately for changes in NPP values. Production changes due to degradation were calculated using the Miami model and subsequently, the rain use efficiency (RUE) and the light use efficiency (LUE) and correlation indices between the CASA model and ground data were determined. The results of this study (R2) showed that the accuracy of this model varies depending on the type of climatic regions (R2 = 0.80 to R2 = 0.15). In different climatic regions, the rate of NPP changes (very humid 68 gC/m2 to ultra-dry 15 gC/m2) varies in rangeland types. The highest rate of vegetation production is observed seasonally in May. Degradation conditions also reduced RUE and LUE. However, in hyper-arid regions, adaptations of plants in some different species (Hammada Spp.) increase their efficiency compared to other vegetation types. The results showed the importance of vegetation and climate classification in vegetation production studies. [ABSTRACT FROM AUTHOR]

This study estimates the spatial changes in Minna's built-up areas. For change detection and urban growth analysis, the topographical map of Minna in 1972, the township map for 1979, and the satellite imageries covering 1986, 1996, 2006, and 2015 were all employed. These maps were georeferenced using ArcGIS 10.3. The study reveals as follows: 1972 (468.3 hectares); 1979 (893.7 hectares); 1986 (4,579.8 hectares); 1996 (5,205.4.5 hectares); 2006 (8,505.1 hectares); and 2015 (19,777.2 hectares). The land consumption rates were estimated as 0.0084, 0.0117, 0.0356, 0.0215, 0.0204, and 0.0273, respectively.We conclude that strategies birthed by systematic planning conclusions must guide cities. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Soil Science & Plant Nutrition / Toprak Bilimi ve Bitki Besleme Dergisi is the property of Soil Science Society of Turkey and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to study whether the stereo image pairs of SuperView-1 satellite can meet the accuracy requirements of 1:2 000 for engineering design,the image was used for topographic mapping in a railway project. Image control points were uniformly set up within the range of the image pairs and measured checkpoints in areas of different terrain levels were obtained for subsequent accuracy checks. Aerial triangulation and directional three-dimensional collection of topographic maps in the internal industry were carried out. The accuracy of mapping was evaluated from two aspects: statistical accuracy of topographic maps and human eye interpretation. The research results show that, the absolute orientation point residuals, the accuracy indicators of using field inspection points to calculate the plane and elevation errors of topographic maps, all of which can meet the requirements of the 1:2 000 scale topographic map in the "Railway Engineering Photogrammetry Specification". Due to the resolution limitation of the SuperView - 1 satellite image, the interpretation of point like small ground objects was weaker than that of aerial images with high ground resolution. At the same time, mapping personnel have found that there is a small vertical disparity in the stereo image for high-altitude areas, which may affect the comfort and elevation accuracy of human eye interpretation. The conclusion of the study is that, when aerial images cannot be quickly obtained, SuperView - 1 satellite images can serve as an effective data source supplement, with accuracy meeting the requirements of railway mapping, but its precision verification needs to be strengthened. [ABSTRACT FROM AUTHOR]

Text Landslides are one of the types of large-scale processes that cause many human and financial losses in many parts of Iran and the world every year. The increase in population and the expansion of human settlements in mountainous areas, the difficulty of predicting the occurrence of landslides and the numerous factors influencing the occurrence of this phenomenon, reveal the necessity of landslide risk zoning. Identifying the effective factors in the occurrence of this phenomenon and its risk zoning is one of the basic and practical methods to achieve its forecasting, control and monitoring solutions. By using field studies, geological and topographical maps, and by reviewing the researches and studies done in this field, as well as examining the existing conditions in the studied area, 9 factors of elevation, slope, slope direction, lithology, distance from the fault., the distance from the river, the distance from the communication roads, land use and rainfall were investigated as factors affecting the occurrence of landslides. Therefore, the purpose of this research is to investigate and analyze the most important factors involved in creating the risk of landslides in Garami city and to identify the prone areas that will probably be involved in landslides in the near future. In this research, the zoning of prone areas was done with the Aras multicriteria algorithm in the Edrisi software environment, and according to the results of landslide risk zoning; The criteria of land use, slope, and lithology are the most important factors involved in creating the risk of landslides in the study area with weight coefficients of 0.187, 0.152, 0.152, and 0.142, respectively, and are 361.99 and 450.32, respectively. A square kilometer of the area has a very high probability of danger. Finally, it can be said that the most important factor involved in increasing the amount and potential of landslides in Germi city is the change of land use and the increase of agricultural land and livestock pastures. [ABSTRACT FROM AUTHOR]

In 2022, China launched two LT-1 satellites, which opened a new era of large-scale application of domestic interferometric SAR satellites. Large-scale topographic measurement is an important application direction of interferometric SAR satellites, and reference DEM is indispensable and important data in the process of topographic interferometric measurement. Purpose: How to select reliable reference DEM to meet different topographic measurement requirements is an urgent problem to be solved in the use of InSAR technology to extract DEM. Method: This paper selects ASTER GDEM, AW3D30 DEM, SRTM DEM, and Copernicus DEM as reference DEMs respectively, and uses two scenes of domestic L-SAR satellite images in 2023 to catty out DEM data extraction in a certain region of Henan Province using InSAR technology. ICESat-2 laser altimetry data is used as the true elevation value, and the mean square error is used as the evaluation index to test the elevation accuracy. Result: When using Copernicus DEM as the external reference DEM, the LT-DEM elevation accuracy is the highest under different terrain conditions, followed by SRTM DEM, AW3D30 DEM, and ASTER GDEM. Conclusion: 1) LT-1 satellite has the ability of wide-area efficient topographic mapping and high topographic inversion accuracy; 2)When using InSAR technology to process L-SAR images, using Copernicus DEM as the reference data obtains higher DEM elevation accuracy; 3) The elevation accuracy of extracting DEM using InSAR technology is affected by terrain factors, with low elevation accuracy in mountainous areas and high elevation accuracy in plains. This experiment extracts DEM using 12-meter domestic LT-1 images for the first time, innovatively using four reference DEM data with the same spatial resolution for InSAR processing, and compares and analyzes the performance of the four reference DEMs. Significance; This experiment provides guidance for extracting different topographic DEMs using InSAR technology, which can help topographic surveyors better choose external reference DEMs when processing InSAR images, and provide an important work basis for geological disaster monitoring, mineral development, land use, and other types of work. [ABSTRACT FROM AUTHOR]

Copyright of GRID - Architecture, Planning & Design Journal is the property of GRID - Architecture, Planning & Design Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Numerous prospective biomarkers are being studied for their ability to diagnose various stages of Alzheimer's disease (AD). High-density electroencephalogram (EEG) methods show promise as an accurate, economical, non-invasive approach to measuring the electrical potentials of brains associated with AD. Event-related potentials (ERPs) may serve as clinically useful biomarkers of AD. Through analysis of secondary data, the present study examined the performance and distribution of N4/P6 ERPs across the frontoparietal network (FPN) using EEG topographic mapping. ERP measures and memory as a function of reaction time (RT) were compared between a group of (n = 63) mild untreated AD patients and a control group of (n = 73) healthy age-matched adults. Based on the literature presented, it was expected that healthy controls would outperform patients in peak amplitude and mean component latency across three parameters of memory when measured at optimal N4 (frontal) and P6 (parietal) locations. It was also predicted that the control group would exhibit neural cohesion through FPN integration during cross-modal tasks, thus demonstrating healthy cognitive functioning consistent with older healthy adults. By targeting select frontal and parietal EEG reference channels based on N4/P6 component time windows and positivity, our findings demonstrated statistically significant group variations between controls and patients in N4/P6 peak amplitudes and latencies during cross-modal testing. Our results also support that the N4 ERP might be stronger than its P6 counterpart as a possible candidate biomarker. We conclude through topographic mapping that FPN integration occurs in healthy controls but is absent in AD patients during cross-modal memory tasks. [ABSTRACT FROM AUTHOR]

Coherence scanning interferometry (CSI), based on the principle of interference, can achieve sub-nanometer precision for height measurements. On the other hand, focus variation microscopy (FVM), combining the small depth of field of the objective, is a widely used surface topography measurement method suited to surface topography that is mostly optically rough. In this paper, we propose a method to simultaneously obtain the interferometric fringe data and focus variation FVM image stack, from a single vertical scanning process, using a CSI instrument without any hardware modifications. Using a 3D Fourier transform, the FVM signal, looks takes the form of a "bowtie" and the CSI signal resembles two "umbrellas" that are separated in 3D K-space. The signal is recovered using a 3D inverse Fourier transform and the surface topography can be determined by fusing the CSI and FVM signals. Since both signals come from the same instrument and scanning process, there is no need for coordinate registration and data interpolation during the data fusion process. Our method combines the features of CSI and FVM measurement, thereby improving the robustness and data coverage of the measurement. An all-in-focus surface topography map can also be generated using this method. This focusing feature has the potential to significantly improve the defect detection and quality control ability of CSI instruments. • Extracting focus variation data from coherence scanning interferometry without any hardware modifications. • No need for coordinate registration and data interpolation during the data fusion process. • Combining the features of CSI and FVM measurement, thereby improving the robustness and data coverage of the measurement. • All-in-focus surface topography map can be generated using this method for defect detection and quality control. [ABSTRACT FROM AUTHOR]

The intricate organization of nuclei within the dorsolateral funiculus of the spinal cord has long been an area of interest in the field of neuroanatomy. Numerous researchers have endeavored to determine the morphology, neurochemistry, connections, and physiology of the lateral cervical nucleus and lateral spinal nucleus throughout history. This manuscript charts the historical progression in the mapping, naming, and comprehension of the lateral cervical nucleus and lateral spinal nucleus across a variety of species, such as rats, mice, marmosets, rhesus monkeys, and humans. It synthesizes significant research spanning decades, which together shed light on the nuanced topography of these nuclei, starting from Theodor Ziehen's foundational work in 1903, through Molander's precise mappings, to the detailed contemporary mappings by modern scholars. Despite the wealth of research elucidating the mappings of these nuclei, there remains a need for further investigation into their roles and neurochemical characteristics. [ABSTRACT FROM AUTHOR]

Early monitoring of within-field yield variability and forecasting yield potential is critical for farmers and other key stakeholders such as policymakers. Remote sensing techniques are progressively being used in yield prediction studies due to easy access and affordability. Despite the increasing use of remote sensing techniques for yield prediction in agriculture, there is still a need for medium-resolution satellite imagery when predicting canola yield using a combination of crop and soil information. In this study, we investigated the utility of remotely sensed flowering information from PlanetScope (at 4 m) satellite imagery combined with derived soil and topography parameters to predict canola yield. Our yield prediction model was trained and validated using data from 21 fields managed under variable rate seed and fertilizer application, including cleaned harvester yield maps, soil, and topography maps. To quantify the flowering intensity of canola, 9 vegetation indices (VIs) were calculated using spectral bands from PlanetScope imagery acquired for the reproductive stages of canola. We created five random forest regression models using different subsets of covariates, including VIs, soil, and topography features, to predict canola yield within the season. Using a random forest regression algorithm, we recorded accuracies ranging from poor to best performing using coefficient of determination and root mean squared error (R2: 0.47 to 0.66, RMSE: 325 to 399 kg ha−1). The optimal subset of covariates identified electrical conductivity (EC), Normalized Difference Yellowness Index, and Canola Index as the key variables explaining within-spatial variability in canola yield. Our final model exhibited a validation R2 of 0.46 (RMSE = 730 kg ha−1), demonstrating the potential of medium-resolution satellite imagery during the flowering stage to detect and quantify sub-field spatial and temporal floral phenology changes when predicting canola yield. [ABSTRACT FROM AUTHOR]