6 results on '"Ahmed, Rayees"'
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2. Remote sensing-based analysis of land use, land cover, and land surface temperature changes in Jammu District, India.
- Author
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Saleem, Haadiya, Ahmed, Rayees, Mushtaq, Shaista, Saleem, Shahid, and Rajesh, Mudigandla
- Abstract
The study conducted in Jammu District, India, investigates land use and land cover (LULC) transformations over the past three decades using satellite data and remote sensing techniques. Analyzing data from 1990 to 2020, significant changes were observed. Agricultural land expanded by 157.76 km2 (6.71%), barren land by 151.69 km2 (6.45%), and settlements by 96.97 km2 (4.12%). However, vegetation decreased by 389.77 km2 (16.57%), while water bodies experienced minimal changes. Land Surface Temperature (LST) analysis, utilizing MODIS data (2000-2020), revealed warming trends, with temperatures ranging from 15.92°C to 42.77°C in 2010 and 14.04°C to 37.01°C in 2020. Notably, NDVI values peaked in 2020 (0.759) and were lowest in 1990 (−0.243), indicating healthier vegetation and lower surface temperatures. This inverse correlation highlights NDVI's potential as an indicator for assessing vegetation health and its impact on local temperature conditions. Man-Kendall
Z statistics indicated negative trends for Tmax and Tmin , while rainfall data showed significant positive trend. Population growth, urbanization, climate change and agricultural intensification emerged as principal drivers of the LULC changes in the region. This study underscores the importance of geospatial tools in monitoring LULC changes, providing valuable insights for policymakers and planners to formulate sustainable land use planning and management strategies. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
3. Application of AHP based geospatial modeling for assessment of landslide hazard zonation along Mughal road in the Pir Panjal Himalayas.
- Author
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Bhat, Irshad Ahmad, Ahmed, Rayees, Bhat, Waseem Ahmad, and Ahmed, Pervez
- Subjects
LANDSLIDES ,LANDSLIDE hazard analysis ,DIGITAL elevation models ,GEOGRAPHIC information systems ,ANALYTIC hierarchy process ,REMOTE sensing ,HAZARD mitigation - Abstract
Mughal road located in the high mountainous region of Kashmir Himalaya, India is prone to landslide hazards because of anthropogenic pressure and ongoing climate change. Landslides along the roads is one of the critical problems in hilly areas. Landslide vulnerability maps can serve as an effective tool for the planning and management of landslide disasters. The primary goal of the present study is to generate a Landslide hazard map along the Mughal Road. An integrated approach of Remote sensing GIS and AHP was used applied for this purpose. The eight most important landslide occurrence parameters including slope aspect, geology, elevation, slope angle, lineament buffer, drainage buffer, landuse/landcover and NDVI were employed in the present model. The Advanced Spaceborne Thermal Emission and Reflection Radiometer Digital Elevation Model and Linear Imaging Self-Scanning Sensor imagery were used to prepare these thematic layers in Arc GIS environment. The analysis of the final landslide hazard map reveals that, very low, low and moderate landslide hazard zones constitute 0.6%, 15.8% and 41.3% of the total area in the study region, respectively. While High and very high landslide hazard zones account for 30.2% and 12.2%, respectively of the total geographical area in the study region. Finally, an inventory of landslides has been used to validate the findings of the study. The landslide hazard zonation map has been also compared with the Landslide inventory map through the ROC-AOC method. The applied model produced an excellent result for landslide hazard mapping in the research region, as shown by the spatial effectiveness of the generated landslide hazard map validated by AUC (77.7% of accuracy). The study can be very useful for policy maker and construction planners. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Glacial lake outburst flood risk assessment using remote sensing and hydrodynamic modeling: a case study of Satluj basin, Western Himalayas, India.
- Author
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Rawat, Manish, Jain, Sanjay Kumar, Ahmed, Rayees, and Lohani, Anil Kumar
- Subjects
FLOOD risk ,GLACIAL lakes ,VALLEYS ,REMOTE sensing ,GLOBAL warming ,GLACIERS ,UNSTEADY flow - Abstract
Glacier-associated hazards are becoming a common and serious challenge to the high mountainous regions of the world. Glacial lake outburst floods (GLOFs) are one of the most serious unanticipated glacier hazards, with the potential to release a huge amount of water and debris in a short span of time, resulting in the loss of lives, property, and severe damage to downstream valleys. The present study used multi-temporal Landsat and Google earth imageries to analyze the spatio-temporal dynamism of the selected glacial lake (moraine-dammed) in the Satluj basin of Western Himalayas. Furthermore, GLOF susceptibility of the lake was assessed using a multi-criteria decision-based method. The results show that the lake area has increased from 0.11 to 0.26 km
2 over the past 28 years from 1990 to 2018. The susceptibility index value for the lake was calculated as 0.75, which indicates that the lake is highly susceptible to the GLOF. The depth and volume of the lake were estimated to be 16 m and 57 × 105 m3 , respectively, using an empirical formula. HEC-RAS, HECGeo-RAS, and Arc-GIS software were utilized in this study to perform unsteady flow analysis and to determine the GLOF impact on the downstream area. The worst-case GLOF scenario (breach width of 75 m) was revealed during an overtopping failure of the moraine dam, resulted in a peak discharge of 4060 m3 /s and releasing a total water volume of 57 × 105 m3 . The breach hydrograph has been routed to calculate the spatial and temporal distribution of peak flood, inundation depth, velocity, water surface elevation, and flood peak arrival time along the river channel. The analysis further reveals that the routed flood waves reach the nearest settlement, i.e., Rajpur town, situated at a distance of 102 km in the downstream valley of the lake at 6 h after the beginning of the lake breach event with a peak discharge/flood of 1757 m3 /s and maximum flow velocity of 1.5 m/s. With the ongoing climate warming and glacier retreat, moraine-dammed lakes are becoming more hazardous and thus increasing the total threat. Therefore, it is mandatory to monitor and assess such lakes at regular intervals of time to lessen the disastrous impacts of GLOFs on the livelihood and infrastructure in the downstream valleys. The findings of this study will aid in the creation of risk management plans, preparatory tactics, and risk reduction techniques for GLOF hazards in the region. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
5. High resolution inventory and hazard assessment of potentially dangerous glacial lakes in upper Jhelum basin, Kashmir Himalaya, India.
- Author
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Ahmed, Rayees, Ahmad, Syed Towseef, Wani, Gowhar Farooq, Mir, Riyaz Ahmad, Ahmed, Pervez, and Jain, Sanjay K.
- Subjects
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GLACIAL lakes , *RISK assessment , *FIELD research , *REMOTE sensing , *DATABASES - Abstract
In the Himalayan Mountain region, a large number of glacial lakes have developed in the recent past due to glacier recession under the influence of climate change. In this study, we used high resolution satellite data such as Indian Remote Sensing (IRS) LISS-IV (5.8 m) and Google earth images supplemented with field survey to generate an updated glacial lake inventory of Upper Jhelum Basin (UJB) of Kashmir Himalaya. The Sentinel-2A (10 m), Landsat-OLI (30 m) and MSS (60 m), and Cartosat-DEM (30 m) were additional data sources used for glacial lake mapping and change detection analysis. A total of 393 glacial lakes covering an area of 21.55 ± 3.8km² were identified, mapped and inventoried. The lake inventory includes 102 proglacial lakes, 13 supraglacial lakes and 278 unconnected glacial lakes. Using the weighted index-based method, 21 glacial lakes were found as Potentially Dangerous Glacial Lakes (PDGLs). Out of these, 7 lakes were classified as High, 9 as Medium and 5 as Low hazard glacial lakes as per the hazard assessment. Change detection analysis of PDGLs from 1980 to 2020 revealed an increase in area from 5.92 km² to 8.46 km² thereby, indicating a growth of 2.51 ±0.9 km² (30%) at a rate of 0.063 km²/year. The formation and growth of glacial lakes in this area is attributed to continuous glacier recession under the warming trend of temperature and declining nature of precipitation. In this study, the findings showed that Tavg and Tmin are rising significantly at a rate of 0.004°C/year and 0.013°C/year respectively. This study provides an important database for future GLOF studies in the region. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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6. Mapping of groundwater potential zones in Pohru Watershed of Jhelum Basin-Western Himalaya, India using integrated approach of remote sensing, GIS and AHP.
- Author
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Rather, Abid Farooq, Ahmed, Rayees, Wani, Gowhar Farooq, Ahmad, Syed Towseef, Dar, Tanveer, Javaid, Sumaira, and Ahmed, Pervez
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GEOGRAPHIC information systems , *WATER management , *REMOTE sensing , *ANALYTIC hierarchy process , *GROUNDWATER , *GROUNDWATER recharge , *GEOMORPHOLOGY , *LAND cover - Abstract
There has been excessive use of groundwater resources owing to dwindling water resource potentialities across the globe. As a result, efficient water resource management has become inevitable. However, locating the groundwater potential zones in dry and mountainous regions of many developing countries which lack suitable economic and human resources is challenging. The integrated approach of Remote Sensing (RS) and Geographic Information System (GIS) can offer a solution to this problem as it is useful to fetch first-hand information and has wider applicability. The present study focuses on delineating of groundwater potential zones in Pohru Watershed, of Jhelum Basin-Western Himalaya, India by integrating RS, GIS and Analytical Hierarchy Process (AHP). Seven thematic layers, namely lithology, geomorphology, soil, land use/land cover, slope, drainage density and lineament density have been used in this study. The parameters were weighted using AHP according to their importance in determining the groundwater potential. Five major groundwater potential zones were identified as: Very High (18.14%), High (18.17%), Moderate (19.03%), Low (41.75%) and Very Low (2.88%). The findings reveal that High and Very High Potential Zones are concentrated in the alluvial plains and the adjoining fluvio-lacustrine deposits/ Karewas. However, the highly or moderately dissected hills and the mountain ridges mostly comprise of Low and Very Low groundwater potential zones. The residual hills comprise of Medium and Low groundwater potential zones. The analysis of location and water depth of groundwater wells in the study area was found in accordance with the mapped groundwater potential zones, which validates our study. The Area Under Curve (AUC) value of Receiver Operating Characteristic (ROC) curve for AHP method was calculated as 0.7037, which corresponds to the prediction accuracy of 70.37%, indicating Moderate to High predictability of groundwater recharge zones for the study region. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
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