133 citations · 159 across the 5 of their papers we have counts for
5 papers
From parcels to people: development of a spatially explicit risk indicator to monitor residential pesticide exposure in agricultural areas
Francesco Galimberti, Stephanie Bopp, Alessandro Carletti +12
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 pesti…
Earth Observation based multi-scale analysis of crop diversity in the European Union: first insights for agro-environmental policies
Melissande Machefer, Matteo Zampieri, Marijn van der Velde +3
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…
Crop identification using deep learning on LUCAS crop cover photos
Momchil Yordanov, Raphael d'Andrimont, Laura Martinez-Sanchez +3
Crop classification via deep learning on ground imagery can deliver timely and accurate crop-specific information to various stakeholders. Dedicated ground-based image acquisition…
Monitoring crop phenology with street-level imagery using computer vision
Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez +1
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 d…
Harmonised LUCAS in-situ data and photos on land cover and use from 5 tri-annual surveys in the European Union
Raphaël d'Andrimont, Momchil Yordanov, Laura Martinez-Sanchez +8
Accurately characterizing land surface changes with Earth Observation requires geo-localized ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover an…