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Clay Content Mapping Using Soil Moisture Products Derived From a Synergetic Use of Sentinel-1 and Sentinel-2 Data

Abstract : This study aimed to explore the potential of Sentinel satellites to predict topsoil texture, and more precisely to produce clay content map at fine spatial resolution. With its components and its porosity, soil texture is directly linked to soil moisture. In this context and with the arrival of Sentinel constellation, data are acquired with high spatial and temporal resolution. And soil moisture is retrieved from a synergetic use of Sentinel-1 (S-1) and Sentinel-2 (S-2) data between July and early December 2017, over a semi-arid area in central Tunisia. Relationship between soil moisture and clay content is studied and used to produce texture map. Classification algorithm based on random forest (RF) is used for the mapping of clay content classes. The results showed the potential of S-1 and S-2 products to predict soil texture.
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https://hal.inrae.fr/hal-03322946
Contributor : Isabelle Nault <>
Submitted on : Friday, August 20, 2021 - 9:08:32 AM
Last modification on : Tuesday, September 7, 2021 - 3:44:42 PM

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Safa Bousbih, Mehrez Zribi, Zohra Lili Chabaane, Nicolas Baghdadi, Azza Gorrab, et al.. Clay Content Mapping Using Soil Moisture Products Derived From a Synergetic Use of Sentinel-1 and Sentinel-2 Data. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.4910-4913, ⟨10.1109/IGARSS39084.2020.9323773⟩. ⟨hal-03322946⟩

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