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37 results on '"de Bruin, Sytze"'

1. Fields2Cover: An open-source coverage path planning library for unmanned agricultural vehicles

Author

Mier, Gonzalo, Valente, João, and de Bruin, Sytze

Subjects
Computer Science - Robotics, Computer Science - Computational Geometry
Abstract

This paper describes Fields2Cover, a novel open source library for coverage path planning (CPP) for agricultural vehicles. While there are several CPP solutions nowadays, there have been limited efforts to unify them into an open source library and provide benchmarking tools to compare their performance. Fields2Cover provides a framework for planning coverage paths, developing novel techniques, and benchmarking state-of-the-art algorithms. The library features a modular and extensible architecture that supports various vehicles and can be used for a variety of applications, including farms. Its core modules are: a headland generator, a swath generator, a route planner and a path planner. An interface to the Robot Operating System (ROS) is also supplied as an add-on. In this paper, the functionalities of the library for planning a coverage path in agriculture are demonstrated using 8 state-of-the-art methods and 7 objective functions in simulation and field experiments., Comment: 8 pages, 5 figures, 2 tables

Published
2022
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4. Past decade above-ground biomass change comparisons from four multi-temporal global maps

Author

Araza, Arnan, Herold, Martin, de Bruin, Sytze, Ciais, Philippe, Gibbs, David A., Harris, Nancy, Santoro, Maurizio, Wigneron, Jean-Pierre, Yang, Hui, Málaga, Natalia, Nesha, Karimon, Rodriguez-Veiga, Pedro, Brovkina, Olga, Brown, Hugh C.A., Chanev, Milen, Dimitrov, Zlatomir, Filchev, Lachezar, Fridman, Jonas, García, Mariano, Gikov, Alexander, Govaere, Leen, Dimitrov, Petar, Moradi, Fardin, Muelbert, Adriane Esquivel, Novotný, Jan, Pugh, Thomas A.M., Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Stereńczak, Krzysztof, and Hein, Lars

Published
2023
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10. Plot-To-Map: an Open-Source R Workflow For Above-Ground Biomass Independent Validation

Author

Araza, Arnan, De Bruin, Sytze, and Herold, Martin

Subjects
Plot-To-Map, Laboratory of Geo-information Science and Remote Sensing, AGB, Earth Observation, Laboratorium voor Geo-informatiekunde en Remote Sensing, MAAP, PE&RC, Carbon Cycle
Abstract

Maps of above-ground biomass (AGB) maps derived from Earth Observation (EO) have been increasing as a reflection of their importance in global and national applications such as global climate modelling and carbon accounting, respectively. Here we present Plot-To-Map, a tool to validate the accuracy of AGB maps using plot data from freely available global plot networks or own user data. The tool consists of five main steps starting from quality checking and harmonizing plot data to address the spatial (e.g., forest area) and temporal gaps between plots and maps. Uncertainties of plots are assessed before map comparison so plots with high uncertainty will have less impact on the comparisons. The comparison is initiated at a coarse spatial scale e.g., 10 km to eliminate random errors and enable systematic errors (bias) to be revealed and eventually be modelled. Bias predictions from decision tree-based regression model and other ecological EO products are key for producing bias-reduced maps and estimates of country AGB with associated uncertainties. The tool can be used locally and interactively via https://github.com/arnanaraza/PlotToMap. Its access and use are also possible through the Multi-Mission Algorithm Platform (MAAP), a joint project of ESA and NASA to revolutionize AGB research.

Published
2022

13. The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

Author

Santoro, Maurizio, primary, Cartus, Oliver, additional, Carvalhais, Nuno, additional, Rozendaal, Danaë M. A., additional, Avitabile, Valerio, additional, Araza, Arnan, additional, de Bruin, Sytze, additional, Herold, Martin, additional, Quegan, Shaun, additional, Rodríguez-Veiga, Pedro, additional, Balzter, Heiko, additional, Carreiras, João, additional, Schepaschenko, Dmitry, additional, Korets, Mikhail, additional, Shimada, Masanobu, additional, Itoh, Takuya, additional, Moreno Martínez, Álvaro, additional, Cavlovic, Jura, additional, Cazzolla Gatti, Roberto, additional, da Conceição Bispo, Polyanna, additional, Dewnath, Nasheta, additional, Labrière, Nicolas, additional, Liang, Jingjing, additional, Lindsell, Jeremy, additional, Mitchard, Edward T. A., additional, Morel, Alexandra, additional, Pacheco Pascagaza, Ana Maria, additional, Ryan, Casey M., additional, Slik, Ferry, additional, Vaglio Laurin, Gaia, additional, Verbeeck, Hans, additional, Wijaya, Arief, additional, and Willcock, Simon, additional

Published
2021
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17. Farmers' perception of Controlled Traffic Farming (CTF) and associated technologies

Author

Thomsen, Maria Nygård, Tamirat, Tseganesh Wubale, Pedersen, Søren Marcus, Lind, Kim Martin, Pedersen, Hans Henrik, de Bruin, Sytze, Nuyttens, David, Vangeyte, Jurgen, Forristal, Patrick Dermot, and Sørensen, Claus Grøn

Subjects
O31, Q30, O33, precision agriculture, Q10, Controlled Traffic Farming, ddc:330, Q16, survey, adoption
Abstract

This report presents descriptive results from a recent survey conducted with the objective of assessing the use of Controlled Traffic Farming (CTF) practices and associated precision farming technologies among farmers in eight European countries. About 26 % of the surveyed farmers use some CTF systems of which 45 % apply CTF on their entire farm. For the CTF users, the major motives to use CTF are to reduce soil structure damage and to improve efficiency (reduce cost) followed by a desire to make more profit. Concern about heavy machinery – induced soil compaction and perceptions about the potentials of CTF are considerably high. However, adoption appears to be constrained mainly by: high cost of machinery modification and RTK purchase, lack of compatibility of equipment and also GPS systems from different manufacturers, and lack of decision support systems. Issues about evidence on demonstrated benefits under local conditions and availability of contractors are also mentioned as limiting factors.

Published
2018

19. Quantifying the effect of forest age in annual net forest carbon balance

Author

Besnard, Simon, primary, Carvalhais, Nuno, additional, Arain, M Altaf, additional, Black, Andrew, additional, de Bruin, Sytze, additional, Buchmann, Nina, additional, Cescatti, Alessandro, additional, Chen, Jiquan, additional, Clevers, Jan G P W, additional, Desai, Ankur R, additional, Gough, Christopher M, additional, Havrankova, Katerina, additional, Herold, Martin, additional, Hörtnagl, Lukas, additional, Jung, Martin, additional, Knohl, Alexander, additional, Kruijt, Bart, additional, Krupkova, Lenka, additional, Law, Beverly E, additional, Lindroth, Anders, additional, Noormets, Asko, additional, Roupsard, Olivier, additional, Steinbrecher, Rainer, additional, Varlagin, Andrej, additional, Vincke, Caroline, additional, and Reichstein, Markus, additional

Published
2018
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21. Multi-gas and multi-source comparisons of six land use emission datasets and AFOLU estimates in the Fifth Assessment Report, for the tropics for 2000–2005

Author

Roman-Cuesta, Rosa Maria, primary, Herold, Martin, additional, Rufino, Mariana C., additional, Rosenstock, Todd S., additional, Houghton, Richard A., additional, Rossi, Simone, additional, Butterbach-Bahl, Klaus, additional, Ogle, Stephen, additional, Poulter, Benjamin, additional, Verchot, Louis, additional, Martius, Christopher, additional, and de Bruin, Sytze, additional

Published
2016
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23. Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 2000–2005 in the tropics

Author

Roman-Cuesta, Rosa Maria, primary, Rufino, Mariana C., additional, Herold, Martin, additional, Butterbach-Bahl, Klaus, additional, Rosenstock, Todd S., additional, Herrero, Mario, additional, Ogle, Stephen, additional, Li, Changsheng, additional, Poulter, Benjamin, additional, Verchot, Louis, additional, Martius, Christopher, additional, Stuiver, John, additional, and de Bruin, Sytze, additional

Published
2016
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29. Hotspots of tropical land use emissions: patterns, uncertainties, and leading emission sources for the period 2000-2005.

Author

Roman-Cuesta, Rosa Maria, Rufino, Mariana C., Herold, Martin, Butterbach-Bahl, Klaus, Rosenstock, Todd S., Herrero, Mario, Ogle, Stephen, Li, Changsheng, Poulter, Benjamin, Verchot, Louis, Martius, Christopher, Stuiver, John, and de Bruin, Sytze

Subjects
LAND use, CLIMATE change, GEOLOGIC hot spots, EMISSION exposure, GLOBAL warming
Abstract

According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41-72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2°C. The AFOLU sector (Agriculture, Forestry and Other Land Use) roughly contributes with a quarter (~ 10-12 PgCO2e.yr-1) of the net anthropogenic GHG emissions mainly from deforestation, fire, wood harvesting, and agricultural emissions including croplands, paddy rice and livestock. In spite of the importance of this sector, it is unclear where are the regions in the planet with AFOLU emissions hotspots, and how uncertain these emissions are. Here we present a novel spatially comparable dataset containing annual mean estimates of gross AFOLU emissions (CO2, CH4, N2O), associated uncertainties, and leading emission sources, in a spatially disaggregated manner (0.5°), for the tropics, for the period 2000-2005. Our data highlight: i) the existence of AFOLU emissions hotspots on all continents, with particular importance of evergreen rainforest deforestation in Central and South America, fire in dry forests in Africa, and both peatland emissions and agriculture in Asia; ii) a predominant contribution of forests and CO2 to the total AFOLU emissions (75 %) and to their uncertainties (98 %), iii) higher gross fluxes from forests coincide with higher uncertainties, making agricultural hotspots more appealing for effective mitigation action, and iv) a lower contribution of non-CO2 agricultural emissions to the total gross budget (ca. 25 %) with livestock (15.5 %) and rice (7 %) leading the emissions. Gross AFOLU tropical emissions 8.2 (5.5-12.2) were in the range of other databases 8.4 and 8.0 PgCO2e.yr-1 (FAOSTAT and EDGAR respectively), but we offer a spatially detailed benchmark for monitoring progress on reducing emissions from the land sector in the tropics. The location of the AFOLU hotspots of emissions and data on their associated uncertainties, will assist national policy makers, investors and other decision-makers who seek to understand the mitigation potential of the AFOLU sector. [ABSTRACT FROM AUTHOR]

Published
2016
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33. Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam.

Author

Pratihast, Arun Kumar, Herold, Martin, Avitabile, Valerio, de Bruin, Sytze, Bartholomeus, Harm, Souza Jr., Carlos M., and Ribbe, Lars

Subjects
DEFORESTATION, FOREST degradation, EMISSION control, REMOTE sensing, INFORMATION technology, CASE studies, FORESTS & forestry
Abstract

Monitoring tropical deforestation and forest degradation is one of the central elements for the Reduced Emissions from Deforestation and Forest Degradation in developing countries (REDD+) scheme. Current arrangements for monitoring are based on remote sensing and field measurements. Since monitoring is the periodic process of assessing forest stands properties with respect to reference data, adopting the current REDD+ requirements for implementing monitoring at national levels is a challenging task. Recently, the advancement in Information and Communications Technologies (ICT) and mobile devices has enabled local communities to monitor their forest in a basic resource setting such as no or slow internet connection link, limited power supply, etc. Despite the potential, the use of mobile device system for community based monitoring (CBM) is still exceptional and faces implementation challenges. This paper presents an integrated data collection system based on mobile devices that streamlines the community-based forest monitoring data collection, transmission and visualization process. This paper also assesses the accuracy and reliability of CBM data and proposes a way to fit them into national REDD+ Monitoring, Reporting and Verification (MRV) scheme. The system performance is evaluated at Tra Bui commune, Quang Nam province, Central Vietnam, where forest carbon and change activities were tracked. The results show that the local community is able to provide data with accuracy comparable to expert measurements (index of agreement greater than 0.88), but against lower costs. Furthermore, the results confirm that communities are more effective to monitor small scale forest degradation due to subsistence fuel wood collection and selective logging, than high resolution remote sensing SPOT imagery. [ABSTRACT FROM AUTHOR]

Published
2013
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34. Multi-gas and multi-source comparisons of six land use emission datasets and AFOLU estimates in the Fifth Assessment Report, for the tropics for 2000-2005

Author

Roman-Cuesta, Rosa Maria, Herold, Martin, Rufino, Mariana C., Rosenstock, Todd S., Houghton, Richard A., Rossi, Simone, Butterbach-Bahl, Klaus, Ogle, Stephen, Poulter, Benjamin, Verchot, Louis, Martius, Christopher, and De Bruin, Sytze

Subjects
13. Climate action, 11. Sustainability, 15. Life on land
Abstract

The Agriculture, Forestry and Other Land Use (AFOLU) sector contributes with ca. 20–25% of global anthropogenic emissions (2010), making it a key component of any climate change mitigation strategy. AFOLU estimates, however, remain highly uncertain, jeopardizing the mitigation effectiveness of this sector. Comparisons of global AFOLU emissions have shown divergences of up to 25 %, urging for improved understanding of the reasons behind these differences. Here we compare a variety of AFOLU emission datasets and estimates given in the Fifth Assessment Report for the tropics (2000–2005) to identify plausible explanations for the differences in (i) aggregated gross AFOLU emissions, and (ii) disaggregated emissions by sources and gases (CO$_{2}$, CH$_{4}$, N$_{2}$O). We also aim to (iii) identify countries with low agreement among AFOLU datasets to navigate research efforts. The datasets are FAOSTAT (Food and Agriculture Organization of the United Nations, Statistics Division), EDGAR (Emissions Database for Global Atmospheric Research), the newly developed AFOLU “Hotspots”, “Houghton”, “Baccini”, and EPA (US Environmental Protection Agency) datasets. Aggregated gross emissions were similar for all databases for the AFOLU sector: 8.2 (5.5–12.2), 8.4, and 8.0 PgCO$_{2}$ eq. yr$^{-1}$ (for Hotspots, FAOSTAT, and EDGAR respectively), forests reached 6.0 (3.8–10), 5.9, 5.9, and 5.4 PgCO$_{2}$ eq. yr$^{-1}$ (Hotspots, FAOSTAT, EDGAR, and Houghton), and agricultural sectors were with 1.9 (1.5–2.5), 2.5, 2.1, and 2.0 PgCO$_{2}$ eq. yr$^{-1}$ (Hotspots, FAOSTAT, Published by Copernicus Publications on behalf of the European Geosciences Union. 5800 R. M. Roman-Cuesta et al.: AFOLU dataset comparisons EDGAR, and EPA). However, this agreement was lost when disaggregating the emissions by sources, continents, and gases, particularly for the forest sector, with fire leading the differences. Agricultural emissions were more homogeneous, especially from livestock, while those from croplands were the most diverse. CO$_{2}$ showed the largest differences among the datasets. Cropland soils and enteric fermentation led to the smaller N$_{2}$O and CH$_{4}$ differences. Disagreements are explained by differences in conceptual frameworks (carbon-only vs. multi-gas assessments, definitions, land use vs. land cover, etc.), in methods (tiers, scales, compliance with Intergovernmental Panel on Climate Change (IPCC) guidelines, legacies, etc.) and in assumptions (carbon neutrality of certain emissions, instantaneous emissions release, etc.) which call for more complete and transparent documentation for all the available datasets. An enhanced dialogue between the carbon (CO$_{2}$/ and the AFOLU (multi-gas) communities is needed to reduce discrepancies of land use estimates.

35. Detection of breakpoints in Global NDVI time series

Author

de Jong, Rogier, Verbesselt, Jan, Schaepman, Michael E, de Bruin, Sytze, and University of Zurich

Subjects
10122 Institute of Geography, 2305 Environmental Engineering, 1705 Computer Networks and Communications, 910 Geography & travel

36. Quantifying the effect of forest age in annual net forest carbon balance

Author

Besnard, Simon, Carvalhais, Nuno, Arain, M Altaf, Black, Andrew, De Bruin, Sytze, Buchmann, Nina, Cescatti, Alessandro, Chen, Jiquan, Clevers, Jan G P W, Desai, Ankur R, Gough, Christopher M, Havrankova, Katerina, Herold, Martin, Hörtnagl, Lukas, Jung, Martin, Knohl, Alexander, Kruijt, Bart, Krupkova, Lenka, Law, Beverly E, Lindroth, Anders, Noormets, Asko, Roupsard, Olivier, Steinbrecher, Rainer, Varlagin, Andrej, Vincke, Caroline, and Reichstein, Markus

Subjects
13. Climate action, 15. Life on land

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