Abstract
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.
Original language | English (US) |
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Title of host publication | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
Publisher | IEEE |
Pages | 5602-5605 |
Number of pages | 4 |
ISBN (Print) | 9781665427920 |
DOIs | |
State | Published - Sep 28 2022 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2023-05-24Acknowledgements: 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.