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DOI | 10.5194/tc-15-3021-2021 |
Three in one: GPS-IR measurements of ground surface elevation changes, soil moisture, and snow depth at a permafrost site in the northeastern Qinghai-Tibet Plateau | |
Zhang, Jiahua; Liu, Lin; Su, Lei; Che, Tao | |
发表日期 | 2021 |
ISSN | 1994-0416 |
EISSN | 1994-0424 |
起始页码 | 3021 |
结束页码 | 3033 |
卷号 | 15期号:6 |
英文摘要 | Ground surface elevation changes, soil moisture, and snow depth are all essential variables for studying the dynamics of the active layer and permafrost. GPS interferometric reflectometry (GPS-IR) has been used to measure surface elevation changes and snow depth in permafrost areas. However, its applicability to estimating soil moisture in permafrost regions has not been assessed. Moreover, these variables were usually measured separately at different sites. Integrating their estimates at one site facilitates the comprehensive utilization of GPS-IR in permafrost studies. In this study, we run simulations to elucidate that the commonly used GPS-IR algorithm for estimating soil moisture content cannot be directly used in permafrost areas, because it does not consider the bias introduced by the seasonal surface elevation changes due to active layer thawing. We propose a solution to improve this default method by introducing modeled surface elevation changes. We validate this modified method using the GPS data and in situ observations at a permafrost site in the northeastern Qinghai-Tibet Plateau (QTP). The root-mean-square error and correlation coefficient between the GPS-IR estimates of soil moisture content and the in situ ones improve from 1.85% to 1.51% and 0.71 to 0.82, respectively. We also propose a framework to integrate the GPS-IR estimates of these three variables at one site and illustrate it using the same site in the QTP as an example. This study highlights the improvement to the default algorithm, which makes the GPS-IR valid in estimating soil moisture content in permafrost areas. The three-in-one framework is able to fully utilize the GPS-IR in permafrost areas and can be extended to other sites such as those in the Arctic. This study is also the first to use GPS-IR to estimate environmental variables in the QTP, which fills a spatial gap and provides complementary measurements to ground temperature and active layer thickness. |
WOS研究方向 | Physical Geography ; Geology |
WOS类目 | Geography, Physical ; Geosciences, Multidisciplinary |
WOS关键词 | INTERFEROMETRIC REFLECTOMETRY ; RIVER-BASIN ; DEGRADATION ; MAP |
WOS记录号 | WOS:000670559800001 |
来源期刊 | CRYOSPHERE |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/241026 |
作者单位 | [Zhang, Jiahua; Liu, Lin] Chinese Univ Hong Kong, Fac Sci, Earth Syst Sci Programme, Hong Kong 999077, Peoples R China; [Su, Lei; Che, Tao] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; [Su, Lei] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Jiahua,Liu, Lin,Su, Lei,et al. Three in one: GPS-IR measurements of ground surface elevation changes, soil moisture, and snow depth at a permafrost site in the northeastern Qinghai-Tibet Plateau[J]. 中国科学院西北生态环境资源研究院,2021,15(6). |
APA | Zhang, Jiahua,Liu, Lin,Su, Lei,&Che, Tao.(2021).Three in one: GPS-IR measurements of ground surface elevation changes, soil moisture, and snow depth at a permafrost site in the northeastern Qinghai-Tibet Plateau.CRYOSPHERE,15(6). |
MLA | Zhang, Jiahua,et al."Three in one: GPS-IR measurements of ground surface elevation changes, soil moisture, and snow depth at a permafrost site in the northeastern Qinghai-Tibet Plateau".CRYOSPHERE 15.6(2021). |
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