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DOI | 10.1109/TGRS.2023.3314622 |
Daily Landscape Freeze/Thaw State Detection Using Spaceborne GNSS-R Data in Qinghai-Tibet Plateau | |
Yang, Wentao; Guo, Fei; Zhang, Xiaohong; Xu, Tianhe; Wang, Nazi; Jing, Lili | |
发表日期 | 2023 |
ISSN | 0196-2892 |
EISSN | 1558-0644 |
卷号 | 61 |
英文摘要 | The freeze-thaw (F/T) process plays a significant role in climate change and ecological systems. The soil F/T state can now be determined using microwave remote sensing. However, its monitoring capacity is constrained by its low spatial resolution or long revisit intervals. In this study, spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) data with high temporal and spatial resolutions were used to detect daily soil F/T cycles, including completely frozen (CF), completely thawed (CT), and F/T transition states. First, the calibrated Cyclone Global Navigation Satellite System (CYGNSS) reflectivity was used for soil F/T classification. Compared with those of soil moisture active and passive (SMAP) F/T data and in situ data, the detection accuracies of CYGNSS reach 75.1% and 81.4%, respectively. Subsequently, the changes in spatial characteristics were quantified, including the monthly occurrence days of the soil F/T state. It is found that the CF and CT states have opposite spatial distributions, and the F/T transition states distribute from the east to the west and then back to the east of the Qinghai-Tibet Plateau, which may be due to varying diurnal temperatures in different seasons. Finally, the first day of thawing (FDT), last day of thawing, and thawing period of the F/T year were analyzed in terms of the changes in temporal characteristics. The temporal variation of thawing is mainly different between the western and eastern parts of the Tibetan Plateau, which is in agreement with the spatial variation characteristics. The results demonstrate that the CYGNSS can accurately detect the F/T state of near-surface soil on a daily scale. Moreover, it can complement traditional remote sensing missions to improve the F/T detection capability. It can also expand the applications of GNSS-R technology and provide new avenues for cryosphere research. |
关键词 | Cyclone Global Navigation Satellite System (CYGNSS)Global Navigation Satellite System-Reflectometry (GNSS-R)machine learningsoil freeze/thaw (F/T)soil moisture active and passive (SMAP) |
英文关键词 | SOIL-MOISTURE; BISTATIC RADAR; SCATTERING; SURFACE; SIGNALS; CYCLES |
WOS研究方向 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001078348100007 |
来源期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/283175 |
作者单位 | Wuhan University; Shandong University |
推荐引用方式 GB/T 7714 | Yang, Wentao,Guo, Fei,Zhang, Xiaohong,et al. Daily Landscape Freeze/Thaw State Detection Using Spaceborne GNSS-R Data in Qinghai-Tibet Plateau[J],2023,61. |
APA | Yang, Wentao,Guo, Fei,Zhang, Xiaohong,Xu, Tianhe,Wang, Nazi,&Jing, Lili.(2023).Daily Landscape Freeze/Thaw State Detection Using Spaceborne GNSS-R Data in Qinghai-Tibet Plateau.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61. |
MLA | Yang, Wentao,et al."Daily Landscape Freeze/Thaw State Detection Using Spaceborne GNSS-R Data in Qinghai-Tibet Plateau".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023). |
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