Spatial disaggregation of ASCAT soil moisture under all sky condition using support vector machine-Reference-Cited by-同舟云学术

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Spatial disaggregation of ASCAT soil moisture under all sky condition using support vector machine

Published:2018-10-17 Issue:12 Volume:32 Page:3455-3473
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Kim Seongkyun,Jeong Jaehwan,Zohaib Muhammad,Choi Minha

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-018-1620-3/fulltext.html

Reference81 articles.

1. Bisht G, Bras RL (2010) Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study. Remote Sens Environ 114(7):1522–1534

2. Brocca L, Hasenauer S, Lacava T, Melone F, Moramarco T, Wagner W, Dorigo W, Matgen P, Martínez-Fernández J, Llorens P, Latron J, Martin C, Bittelli M (2011) Soil moisture estimation through ASCAT and AMSR-E sensors: an intercomparison and validation study across Europe. Remote Sens Environ 115:3390–3408

3. Brocca L, Ciabatta L, Massari C, Camici S, Tarpanelli A (2017) Soil moisture for hydrological applications: open questions and new opportunities. Water 9(2):140

4. Carlson T (2007) An overview of the “triangle method” for estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors 7(8):1612–1629

5. Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):27

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