Surface Soil Moisture Retrieval Using the Improved Water-Cloud Model Based on Sentinel-1A and Sentinel-2 Data

Author:

Li Yan,Zhang Fan

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Al-Yaari A, Wigneron JP, Kerr Y, Rodriguez-Fernandez NO (2017) Evaluating soil moisture retrievals from ESA’s SMOS and NASA’s SMAP brightness temperature datasets. Remote Sens Environ 193:257–273

2. Attema EPW, Ulaby FT (1978) Vegetation modeled as a water cloud. Radio Sci 13(2):357–364

3. Chauhan S, Srivastava HS (2016) Comparative evaluation of the sensitivity of multi-polarised SAR and optical data for various land cover classes. Int J Adv Remote Sens, GIS Geogr 4(1):1–14

4. De Roo RD, Yang D, Ulaby FT (2001) A semi-empirical backscattering model at L-band and C-band for a soybean canopy with soil moisture inversion. IEEE Trans Geosci Remote Sens 39(4):864–872

5. Deering DW (1978) Rangeland reflectance characteristics measured by aircraft and spacecraft sensors. Texas A&M University, College Station, USA

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