TY - GEN
T1 - POTENTIALITIES OF SENTINEL PRODUCTS FOR MONITORING WATER STATUS OF AGRICULTURAL PLOTS AND PHENOLOGY OF CHERRY TREES IN SOUTHEASTERN FRANCE.
AU - Courault, Dominique
AU - Doussan, Claude
AU - Lopez-Lozano, Raul
AU - Zohore, Urie
AU - Khaly, Papa
AU - Chanzy, Andre
AU - Debolini, Marta
AU - Rouault, Pierre
AU - Abubakar, Mukhtar
AU - Flamain, Fabrice
AU - Chapelet, Arnaud
AU - Desfonds, Veronique
AU - Ruy, Stephane
AU - Pouget, Guillaume
N1 - KAUST Repository Item: Exported on 2023-05-24
Acknowledgements: The authors thank the farmers, who kindly answered all of the surveys and have allowed measurements on their fields. A part of this study was funded by the PACA region, and with a project with the Kaust university.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2022/9/28
Y1 - 2022/9/28
N2 - Recurrent droughts and water restrictions occur more and more often in Southeastern France. In this context, the evaluation of available resources according to the crop development and needs is becoming a priority. This study uses Sentinel data, for two main purposes:-i) evaluating the accuracy of new soil moisture products obtained from Sentinel 1 & 2 (S2MP) delivered from the THEIA platform, by using continuous soil moisture measurements of an agricultural plot located in Avignon (France)-ii) assessing the potential of Sentinel 1 & 2 for monitoring soil moisture, irrigation and phenology of irrigated orchards. Significant correlations were found between in situ measurements and soil moisture products normalized with the yearly amplitude (mathrm{r}{2} =0.76 text{rmse}=0.15%/%). Time series of the green fractional cover fCOVER and the fraction of absorbed radiation (fAPAR) computed from Sentinel 2 permitted to identify full flowering and end of flowering phenological stages when irrigation start.
AB - Recurrent droughts and water restrictions occur more and more often in Southeastern France. In this context, the evaluation of available resources according to the crop development and needs is becoming a priority. This study uses Sentinel data, for two main purposes:-i) evaluating the accuracy of new soil moisture products obtained from Sentinel 1 & 2 (S2MP) delivered from the THEIA platform, by using continuous soil moisture measurements of an agricultural plot located in Avignon (France)-ii) assessing the potential of Sentinel 1 & 2 for monitoring soil moisture, irrigation and phenology of irrigated orchards. Significant correlations were found between in situ measurements and soil moisture products normalized with the yearly amplitude (mathrm{r}{2} =0.76 text{rmse}=0.15%/%). Time series of the green fractional cover fCOVER and the fraction of absorbed radiation (fAPAR) computed from Sentinel 2 permitted to identify full flowering and end of flowering phenological stages when irrigation start.
UR - http://hdl.handle.net/10754/691973
UR - https://ieeexplore.ieee.org/document/9884733/
UR - http://www.scopus.com/inward/record.url?scp=85141897173&partnerID=8YFLogxK
U2 - 10.1109/IGARSS46834.2022.9884733
DO - 10.1109/IGARSS46834.2022.9884733
M3 - Conference contribution
SN - 9781665427920
SP - 5602
EP - 5605
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - IEEE
ER -