Accuracy assessment of GAI retrieval from SPOT5 Take5 according to crop type and crop development (BELCAM)

Delloye, Cindy;Weiss, Marie;Baret, Frédéric;Morin, David;Defourny, Pierre
(2016) Living Planet Symposium 2016 — Location: Prague, Czech Republik (9.May.2016)

Files

Prceedings_165delloye.pdf
  • Restricted Access
  • Adobe PDF
  • 629.81 KB

Details

Authors
  • Delloye, CindyUCLouvain
    Author
  • Weiss, MarieINRA-EMMAH UMR, France
    Author
  • Baret, FrédéricINRA-EMMAH UMR, France
    Author
  • Morin, DavidCESBIO, France
    Author
  • Author
Abstract
The successful launch of Sentinel-2A equipped of the Multi Spectral Instrument is an exceptional opportunity to deliver regular information of high spatial and temporal resolution about the agricultural fields in Belgium. This research takes advantage of SPOT5 Take5 frequent acquisition over the Belgium in 2015 to realize an in-depth analysis of the Green Area Index (GAI) retrieval by inversion of a radiative transfer model at field scale over the whole Belgium for 2 crops: winter wheat and potato. The GAI is particularly relevant to derive the chlorophyll content at the canopy level (GAI × Cab) which is directly correlated to the Nitrogen content of the crops. This information is of crucial importance to advice farmers on the nitrogen fertilization genuinely required by the crops allowing the best yield and avoiding over fertilization and pollution of the groundwater table. The use of vegetation indexes seems promising to retrieve accurately the GAI (RRMSE =10.2%) during the period of the third Nitrogen application for the winter wheat. Further analyses have to be conducted for varieties of potato with a high level of biomass development (GAI > 4).
Affiliations

Citations

Delloye, C., Weiss, M., Baret, F., Morin, D., & Defourny, P. (2016). Accuracy assessment of GAI retrieval from SPOT5 Take5 according to crop type and crop development (BELCAM). In ESA (ed.), Proceedings of Living Planet Symposium 2016. https://hdl.handle.net/2078.5/227096