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Communication Dans Un Congrès Année : 2020

Soil Moisture Estimation at 500m using Sentinel-1: application to Tunisian sites

Résumé

This article aims to propose an estimation of the soil moisture at a spatial resolution of 0.5 km and 6 days temporal resolution using Sentinel-1 data. The proposed approach is based on the change detection technique applied over a series of four-year measurements. The algorithm output, a moisture index is between 0 and 1, 0 for the driest soils, 1 for the wettest soils. The methodology is tested on different sites in Central Tunisia. Soil moisture estimations are compared to soil moisture in-situ measurements. Results show a good correlation between estimation and true measurements, in particular for the African regions.
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Dates et versions

hal-03322512 , version 1 (19-08-2021)

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Citer

Myriam Foucras, Mehrez Zribi, Nicolas Baghdadi. Soil Moisture Estimation at 500m using Sentinel-1: application to Tunisian sites. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.4454-4457, ⟨10.1109/IGARSS39084.2020.9323870⟩. ⟨hal-03322512⟩
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