Paper Info
Title
Land Surface Freeze/Thaw Detection Over the Qinghai-Tibet Plateau Using FY-3/MWRI Data
Abstract
The spatial extent and duration of soil freeze/thaw (F/T) control water and heat exchange, the energy cycle, and climate change. Global warming causes permafrost thawing, which increases carbon emissions and in turn exacerbates climate change. Passive microwave remote sensing has been proven to be effective in monitoring land surface F/T. However, it was found that the applicability of existing passive microwave remote sensing-retrieved F/T products in large-scale areas [such as the Qinghai-Tibetan Plateau (QTP)] was influenced by some landscape factors, such as the arid climate type and terrain elevation gradient. FengYun-3 (FY-3) series satellites have accumulated nearly ten years of passive microwave data, but there is little work based on FY-3 passive microwave data to see its potential in land surface F/T status monitoring. In this work, we proposed a dynamic method to determine the surface F/T status by combining the edge detection method and discriminant function algorithm from FengYun-3B (FY-3B) X- and Ka-band microwave radiation imager (MWRI) data. Comparing the results against three F/T products based on in situ 5-cm soil temperature, we demonstrate that this algorithm performs best over different validation areas with an overall accuracy of 86.5%. More specifically, the new algorithm improved the accuracy of current F/T products in arid and semiarid regions from 73% to 90%. Additionally, the spatial distribution of frozen days over the QTP of 2018 based on the new algorithm has good consistency with the permafrost map. However, the accuracy is influenced by snowmelt and appears to be overestimated for thaw soil during the day. This algorithm performs well in QTP areas with complex topography and climate types and holds the promise of providing users with highly accurate F/T products on larger and even global scales.
Year
DOI
Venue
2022
10.1109/TGRS.2022.3182359
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Keywords
DocType
Volume
Soil, Land surface, Temperature measurement, Meteorology, Microwave imaging, Microwave theory and techniques, Microwave radiometry, Dynamic freeze, thaw (F, T) classification algorithm, F, T, FengYun-3B (FY-3B), microwave radiation imager (MWRI), FengYun-3D (FY-3D), MWRI, Tibetan Plateau
Journal
60
ISSN
Citations 
PageRank 
0196-2892
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Jian Wang17640.08
Lingmei Jiang2347.85
Shengli Wu3219.34
Cheng Zhang45416.15
Yingying Chen553.20
Heng Li600.68
Jianwei Yang75812.73
Fangbo Pan801.01
Huizhen Cui911.71