Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Velde, Marijn"'
Autor:
Skøien, Jon Olav, Lampach, Nicolas, Ramos, Helena, Seljak, Rudolf, Koeble, Renate, See, Linda, van der Velde, Marijn
We develop a flexible approach by combining the Quadtree-based method with suppression to maximize the utility of the grid data and simultaneously to reduce the risk of disclosing private information from individual units. To protect data confidentia
Externí odkaz:
http://arxiv.org/abs/2410.17601
Autor:
Galimberti, Francesco, Bopp, Stephanie, Carletti, Alessandro, Catarino, Rui, Claverie, Martin, Florio, Pietro, Ippolito, Alessio, Jones, Arwyn, Marchetto, Flavio, Olvedy, Michael, Pistocchi, Alberto, Verhegghen, Astrid, Van Der Velde, Marijn, Vieira, Diana, d'Andrimont, Raphael
The increase in global pesticide use has mirrored the rising demand for food over the last decades, resulting in a boost in crop yields. However, concerns about the impact of pesticides on biodiversity, ecosystems, and human health, especially for po
Externí odkaz:
http://arxiv.org/abs/2402.10990
Autor:
Machefer, Melissande, Zampieri, Matteo, van der Velde, Marijn, Dentener, Frank, Claverie, Martin, d'Andrimont, Raphaël
To understand the resilience of farms and the agricultural sector, as well as the provision of ecosystem services, we need to characterize and quantify crop diversity. Using a 10m resolution satellite-derived product, we created datasets of crop dive
Externí odkaz:
http://arxiv.org/abs/2311.04551
Autor:
Yordanov, Momchil, d'Andrimont, Raphael, Martinez-Sanchez, Laura, Lemoine, Guido, Fasbender, Dominique, van der Velde, Marijn
Crop classification via deep learning on ground imagery can deliver timely and accurate crop-specific information to various stakeholders. Dedicated ground-based image acquisition exercises can help to collect data in data scarce regions, improve con
Externí odkaz:
http://arxiv.org/abs/2305.04994
Autor:
Pacifico, Federica, Ronchetti, Giulia, Dentener, Frank, van der Velde, Marijn, van den Berg, Maurits, Lugato, Emanuele
Publikováno v:
In Science of the Total Environment 1 December 2024 954
Approximate distance estimation can be used to determine fundamental landscape properties including complexity and openness. We show that variations in the skyline of landscape photos can be used to estimate distances to trees on the horizon. A metho
Externí odkaz:
http://arxiv.org/abs/2201.08816
Street-level imagery holds a significant potential to scale-up in-situ data collection. This is enabled by combining the use of cheap high quality cameras with recent advances in deep learning compute solutions to derive relevant thematic information
Externí odkaz:
http://arxiv.org/abs/2112.09190
Autor:
Machefer, Melissande, Zampieri, Matteo, van der Velde, Marijn, Dentener, Frank, Claverie, Martin, d’Andrimont, Raphaël
Publikováno v:
In Agriculture, Ecosystems and Environment 15 October 2024 374
Publikováno v:
In Ecological Indicators October 2024 167
Autor:
d'Andrimont, Raphaël, Verhegghen, Astrid, Lemoine, Guido, Kempeneers, Pieter, Meroni, Michele, van der Velde, Marijn
Publikováno v:
Remote Sensing of Environment, Volume 266, 1 December 2021, 112708
Detailed parcel-level crop type mapping for the whole European Union (EU) is necessary for the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in particular, offers the opportunity to monitor agricultural land at a co
Externí odkaz:
http://arxiv.org/abs/2105.09261