Retrieval and validation of soil moisture from FRS-1 data set of radar imaging satellite (RISAT-1)-Reference-Cited by-同舟云学术

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Retrieval and validation of soil moisture from FRS-1 data set of radar imaging satellite (RISAT-1)

Published:2017-10 Issue:20 Volume:10 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Rawat Kishan Singh,Sehgal Vinay Kumar,Pradhan Sanatan,Ray Shibendu S.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/article/10.1007/s12517-017-3195-6/fulltext.html

Reference19 articles.

1. Bala A, Rawat KS, Misra AM, Srivastava A (2015) assessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India. Geocarto Int. https://doi.org/10.1080/10106049.2015.1076062.Online

2. Beaudoin A, Le Toan T, Gwyn QHJ (1990) SAR observations and modeling of the C-band backscatter variability due to the multiscale geometry and soil moisture. IEEE Trans Geosci Remote Sens 28:886–895

3. Bernard RD, Vidal-Madjar BF, Laurent G (1982) C-band radar for determining surface soil moisture. Remote Sens Environ 12:189–200

4. Cierniewski J (1987) A model for soil surface roughness influence on the spectral response ofbare soils in the visible and near-infrared range. Remote Sens Environ 23:97–115

5. Cihlar J, Dobson MC, Schmugge T, Hoogeboo P, Janse ARP, Baret F, Guyot G, Le Toan T, Pampaloni P (1987) Procedures for the description of agricultural crops and soil in optical and microwave remote sensing studies. Int Remote Sens 8(3):427–439

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