Journal of Water Resource and Protection

Volume 1, Issue 6 (December 2009)

ISSN Print: 1945-3094   ISSN Online: 1945-3108

Google-based Impact Factor: 1.23  Citations  h5-index & Ranking

Soil Moisture Retrieval Quantitatively with Remotely Sensed Data and Its Crucial Factors Analysis

Full-Text HTML  XML Download Download as PDF (Size: 10155KB)  PP. 439-447  

ABSTRACT

The Ts/NDVI method was adopted to retrieve soil moisture with multi-temporal and multi-sensor remotely sensed data f ETM+ and ASTER in study area. The retrieved soil moisture maps were consistent with the soil type and vegetation, which were also the two main factors determining the distribution of soil moisture.

Cite this paper

J. JIAN, P. PAN, Y. CHEN and W. YANG, "Soil Moisture Retrieval Quantitatively with Remotely Sensed Data and Its Crucial Factors Analysis," Journal of Water Resource and Protection, Vol. 1 No. 6, 2009, pp. 439-447. doi: 10.4236/jwarp.2009.16053.

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.