CCPortal
DOI10.1109/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
ISSN0196-2892
EISSN1558-0644
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yang, Wentao]的文章
[Guo, Fei]的文章
[Zhang, Xiaohong]的文章
百度学术
百度学术中相似的文章
[Yang, Wentao]的文章
[Guo, Fei]的文章
[Zhang, Xiaohong]的文章
必应学术
必应学术中相似的文章
[Yang, Wentao]的文章
[Guo, Fei]的文章
[Zhang, Xiaohong]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。