Comparison of the classification accuracy of three soil freeze–thaw discrimination algorithms in China using SSMIS and AMSR-E passive microwave imagery-Reference-Cited by-同舟云学术

Comparison of the classification accuracy of three soil freeze–thaw discrimination algorithms in China using SSMIS and AMSR-E passive microwave imagery

Published:2014-11-17 Issue:22 Volume:35 Page:7631-7649
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chai Linna¹,Zhang Lixin¹,Zhang Yuanyuan¹,Hao Zhenguo¹²,Jiang Lingmei¹,Zhao Shaojie¹

Affiliation:

1. State Key Laboratory of Remote Sensing Science and School of Geography and Remote Sensing Science, Beijing Normal University, Beijing, 100875, China

2. National Calibration Centre for Electro-optical Distance Meter, Chinese Academy of Surveying & Mapping, Beijing, 100039, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.975376

Reference32 articles.

1. Feasibility of Characterizing Snowpack and the Freeze–Thaw State of Underlying Soil Using Multifrequency Active/Passive Microwave Data

2. Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations

3. Snow depth and snow water equivalent estimation from AMSR-E data based on a priori snow characteristics in Xinjiang, China

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