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Journal of Applied Remote Sensing

Retrieving soil surface temperature under snowpack using special sensor microwave/imager brightness temperature in forested areas of Heilongjiang, China: an improved method
Author(s): Xingming Zheng; Xiaofeng Li; Tao Jiang; Yanling Ding; Lili Wu; Shiyi Zhang; Kai Zhao
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Paper Abstract

Soil surface temperature (Ts) is an important indicator of global temperature change and a key input parameter for retrieving land surface variables using remote sensing techniques. Due to the masking in the thermal infrared band and the scattering in the microwave band of snow, the temperature of soil surfaces covered by snow is difficult to infer from remote sensing data. We attempted to estimate Ts under snow cover using brightness temperature data from the special sensor microwave/imager. Ts under snow cover was underestimated due to the strong scattering effect of snow on upward soil microwave emissions at 37 GHz. The underestimated portion of Ts is related to snow properties, such as depth, grain size, and moisture. Based on the microwave emission model of layered snowpacks, the simulated results revealed a linear relationship between the underestimated Ts and the brightness temperature difference (TBD) at 19 and 37 GHz. When TBDs at 19 and 37 GHz were introduced to the Ts estimation method, accuracy improved, i.e., the root mean square error and bias of the estimated Ts decreased greatly, especially for dry snow. This improvement allows Ts estimation of snow-covered surfaces from 37 GHz microwave brightness temperature.

Paper Details

Date Published: 5 May 2016
PDF: 10 pages
J. Appl. Remote Sens. 10(2) 026016 doi: 10.1117/1.JRS.10.026016
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Xingming Zheng, Northeast Institute of Geography and Agroecology (China)
Xiaofeng Li, Northeast Institute of Geography and Agroecology (China)
Tao Jiang, Northeast Institute of Geography and Agroecology (China)
Yanling Ding, Northeast Normal Univ. (China)
Lili Wu, Northeast Institute of Geography and Agroecology (China)
Shiyi Zhang, Northeast Institute of Geography and Agroecology (China)
Kai Zhao, Northeast Institute of Geography and Agroecology (China)


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