MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests. - Stefano Testa; Kamel Soudani; Luigi Boschetti; Enrico Borgogno Mondino (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates. - Emilie Delogu; Gilles Boulet; Albert Olioso; Sébastien Garrigues; Aurore Brut; Tiphaine Tallec; Jérôme Demarty; Kamel Soudani; Jean-Pierre Lagouarde (Remote. Sens., 2018)

Potential of Sentinel-1 Data for Monitoring Temperate Mixed Forest Phenology. - Pierre-Louis Frison; Bénédicte Fruneau; Syrine Kmiha; Kamel Soudani; Eric Dufrene; Thuy Le Toan; Thierry Koleck; Ludovic Villard; Eric Mougin; Jean-Paul Rudant (Remote. Sens., 2018)

Potential of C-band Synthetic Aperture Radar Sentinel-1 time-series for the monitoring of phenological cycles in a deciduous forest. - Kamel Soudani; Nicolas Delpierre; Daniel Berveiller; Gabriel Hmimina; Gaëlle Vincent; Alexandre Morfin; Eric Dufrene (Int. J. Appl. Earth Obs. Geoinformation, 2021)