also known as Crop Water Productivity (CWP)
Exercises for the European Space Agency (ESA) Advanced Training Course on Land Remote Sensing with the focus on Agriculture and Water Data https://landtraining2022.esa.int/
Data for the exercises are from:
- Google Earth Engine:
- Landsat
- ERA5 reanalysis
- Two-Source Energy Balance (TSEB) model simulations geeet
- Copernicus high-resolution vegetation phenology and productivity product HR-VPP
- ICOS Warm Winter 2020 eddy covariance flux product, FR-Lam site
- Organizers
Data acquisition at FR-Aur and FR-Lam are mainly funded by the Institut National des Sciences de l'Univers (INSU) through the ICOS ERIC and the OSR SW observatory (https://osr.cesbio.cnrs.fr/). Facilities and staff are funded and supported by the Observatory Midi-Pyrenean, the University Paul Sabatier of Toulouse 3, CNRS (Centre National de la Recherche Scientifique), CNES (Centre National d'Etude Spatial) and IRD (Institut de Recherche pour le Developpement). We are grateful to Franck Granouillac, Baptiste Lemaire, Nicole Claverie and Bartosz Zawilski for their technical support, advice, and valuable assistance in the field and site management, respectively. We also thank Tiphaine Tallec and Aurore Brut for the data processing. Special thanks to Mr. Andreoni (farmer) and Ecole d'Ingenieurs Purpan and farmers for accommodating the measurement devices.