Synergy of Sentinel-1 and Sentinel-2 Satellites for Surface Soil Moisture Retrieval Over Wheat Crops in Semi-arid Areas-Reference-Cited by-同舟云学术

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Synergy of Sentinel-1 and Sentinel-2 Satellites for Surface Soil Moisture Retrieval Over Wheat Crops in Semi-arid Areas

Published:2023 Issue: Volume: Page:613-620
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Ouaadi Nadia,Ezzahar Jamal,Jarlan Lionel,Khabba Saïd,Frison Pierre Luis

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6223-3_63

Reference13 articles.

1. Ezzahar J et al (2020) Evaluation of backscattering models and support vector machine for the retrieval of bare soil moisture from Sentinel-1 data. Remote Sens 12(1):72

2. Fung AK, Zongqian L, Chen KS (1992) Backscattering from a randomly rough dielectric surface. IEEE Trans Geosci Remote Sens 30(2):356–369

3. Oh Y, Sarabandi K, Ulaby FT (1992) An empirical model and an inversion technique for radar scattering from bare soil surfaces. IEEE Trans Geosci Remote Sens 30(2):370–381

4. Amazirh A et al (2018) surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and landsat thermal data: a study case over bare soil. Remote Sens Environ 211:321–337

5. Karam MA, Fung AK, Lang RH, Chauhan NS (1992) Microwave scattering model for layered vegetation. IEEE Trans Geosci Remote Sens 30(4):767–784

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1. Computational methods to retrieve soil moisture using remote sensing data: A review;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

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