Surface soil moisture estimation over dense crop using Envisat ASAR and Landsat TM imagery: an approach-Reference-Cited by-同舟云学术

Surface soil moisture estimation over dense crop using Envisat ASAR and Landsat TM imagery: an approach

Published:2014-08-18 Issue:16 Volume:35 Page:6190-6212
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Bao Yansong¹²,Zhang Youjing³,Wang Junzhan⁴,Min Jinzhong¹

Affiliation:

1. Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

2. School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China

3. School of Earth Sciences and Engineering, Houhai University, Nanjing 210098, China

4. Cold and Arid Region Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.951098

Reference41 articles.

1. Bao, Y. S. 2006. “The Research of Monitoring Winter Wheat Growth Using Multi-Source Remote Sensing Data.” PhD diss., School of Geography, Beijing Normal University, China, 31–35.

2. Surface soil moisture estimation using multi-incidence angle ENVISAT ASAR images

3. Parameterization of vegetation backscatter in radar-based, soil moisture estimation

4. High-resolution measurements of scattering in wheat canopies-implications for crop parameter retrieval

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