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The p2s2 validation database for decametric resolution crop products: green area index, fraction of intercepted light, green fraction and chlorophyll content

Abstract : SENTINEL-2 observations are particularly well suited for crop management due to the short revisiting time and decametric spatial resolution. In this context, Green Area Index (GAI), the fraction of Photosynthetically Active Radiation Intercepted by the green vegetation (FIPAR), the fractional green vegetation cover (GF(0)) and Leaf Chlorophyll Content (LCC), are four variables of particular interest since they relate to the canopy state and can eventually be assimilated into crop functioning models to predict crop yield and optimize management practices. We present the results from the first year of the P2S2 project (Produits Pour Sentinel-2) that consisted in acquiring an extensive calibration and validation dataset over agricultural areas based on DHP measurements for GAI, GF(0) and FIPAR combined with SPAD-502 Minolta chlorophyll meter acquisitions for LCC.
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https://hal.inrae.fr/hal-02964155
Contributor : Montpellier Erist <>
Submitted on : Tuesday, April 20, 2021 - 5:43:46 PM
Last modification on : Tuesday, June 15, 2021 - 2:57:19 PM

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Marie Weiss, Kamran Irfan, Simon Madec, François Charron, Jean-François Dejoux, et al.. The p2s2 validation database for decametric resolution crop products: green area index, fraction of intercepted light, green fraction and chlorophyll content. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Jul 2019, Yokohama, Japan. pp.4588-4591, ⟨10.1109/IGARSS.2019.8900400⟩. ⟨hal-02964155⟩

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