A5105667184- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil erosion and sediment transport
- Conservation, Biodiversity, and Resource Management
- Remote-Sensing Image Classification
- African Botany and Ecology Studies
- Soil and Land Suitability Analysis
Université de Rennes
2018-2024
Centre National de la Recherche Scientifique
2018-2024
Institut Supérieur de l'Électronique et du Numérique
2018-2021
Littoral, Environnement, Télédétection, Géomatique
2019-2021
Institut d'Électronique et des Technologies du numéRique
2018-2019
Université Rennes 2
2019
Institut Agro Rennes-Angers
2015
Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an viewpoint, the presence type of influences transport pollutants to water resources. methodological characterizing spatio-temporal dynamics land use at field scale challenging due diversity farming strategies practices winter. The objective this study was evaluate respective advantages Sentinel optical SAR time-series identify To end, Sentinel-1 -2 were classified using...
Land cover and land use monitoring, particularly during winter season, is still a major environmental scientific issue in agricultural areas. From an point of view, the presence type vegetation have impact on pollutant transport to water bodies. methodological characterizing spatio-temporal dynamics at field scale remains challenge due diversity farming strategies practices. The objective this study was evaluate potential optical SAR time-series improve monitoring area 130 km <sup...
In the past decade, high spatial resolution Synthetic Aperture Radar (SAR) sensors have provided information that contributed significantly to cropland monitoring. However, specific configurations of SAR (e.g., band frequency, polarization mode) used identify land-use types remains underexplored. This study investigates contribution C/L-Band dual/quad and density image time-series winter identification in an agricultural area approximately 130 km² located northwestern France. First,...
Crop monitoring is essential for ensuring food security in a global context of population growth and climate change. Satellite images are commonly used to estimate crop parameters over large areas, the freely available Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) optical Sentinel-2 (S-2) relevant that purpose combining high temporal resolution spatial resolution. For this data article, field surveys were conducted from January July 2017 France sample wheat rapeseed during entire crops...
Crop monitoring at a fine scale is critical from an environmental perspective since it provide crucial information to combine increased food production and sustainable management of agricultural landscapes. The recent Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) optical Sentinel-2 (S-2) time series offer great opportunity monitor cropland (structure, biomass phenology) due their high spatial temporal resolutions. In this study, we assessed the potential Sentinel data derive Wet Biomass...
Land cover and land use monitoring, particularly during winter season, is still a major environmental challenge. Indeed, the presence of vegetation cover, dates sowing, length intercrop period, types have an impact on pollutant transport to water bodies. The objective this study was evaluate potentiality polarimetric C- L-SAR time-series improve identification characterization season in 130 km <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...