Evaluation of Remote Sensing and Reanalysis Products for Global Soil Moisture Characteristics

被引:3
|
作者
Zhang, Peng [1 ]
Yu, Hongbo [1 ,2 ,3 ]
Gao, Yibo [4 ]
Zhang, Qiaofeng [1 ,2 ]
机构
[1] Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China
[2] Inner Mongolia Key Lab Remote Sensing & Geog Infor, Hohhot 010022, Peoples R China
[3] Prov Key Lab Mongolian Plateaus Climate Syst, Hohhot 010022, Peoples R China
[4] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China
基金
中国国家自然科学基金;
关键词
microwave remote sensing; soil moisture; SMAP; SMOS; LPRM; ERA5-Land; SMAP; SMOS; RETRIEVALS; RESOLUTION; NETWORKS; ASCAT;
D O I
10.3390/su15119112
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil moisture (SM) exists at the land-atmosphere interface and serves as a key driving variable that affects global water balance and vegetation growth. Its importance in climate and earth system studies necessitates a comprehensive evaluation and comparison of mainstream global remote sensing/reanalysis SM products. In this study, we conducted a thorough verification of ten global remote sensing/reanalysis SM products: SMAP DCA, SMAP SCA-H, SMAP SCA-V, SMAP-IB, SMOS IC, SMOS L3, LPRM_C1, LPRM_C2, LPRM_X, and ERA5-Land. The verification was based on ground observation data from the International SM Network (ISMN), considering both static factors (such as climate zone, land cover type, and soil type) and dynamic factors (including SM, leaf area index, and land surface temperature). Our goal was to assess the accuracy and applicability of these products. We analyzed the spatial and temporal distribution characteristics of global SM and discussed the vegetation effect on SM products. Additionally, we examined the global high-frequency fluctuations in the SMAP L-VOD product, along with their correlation with the normalized difference vegetation index, leaf area index, and vegetation water content. Our findings revealed that product quality was higher in regions located in tropical and arid zones, closed shrubs, loose rocky soil, and gray soil with low soil moisture, low leaf area index, and high average land surface temperature. Among the evaluated products, SMAP-IB, SMAP DCA, SMAP SCA-H, SMAP SCA-V, and ERA5-Land consistently performed better, demonstrating a good ability to capture the spatial and temporal variations in SM and showing a correlation of approximately 0.60 with ISMN. SMOS IC and SMOS L3 followed in performance, while LPRM_C1, LPRM_C2, and LPRM_X exhibited relatively poor results in SM inversion. These findings serve as a valuable reference for improving satellite/reanalysis SM products and conducting global-scale SM studies.
引用
收藏
页数:27
相关论文
共 50 条
  • [31] A pixel-wise calculation of soil evaporative efficiency with thermal/optical remote sensing and meteorological reanalysis data for downscaling microwave soil moisture
    Sun, Hao
    Gao, Jinhua
    AGRICULTURAL WATER MANAGEMENT, 2023, 276
  • [32] Evaluation of microwave remote sensing soil moisture products in farming-pastoral area of Shandian river basin
    Xie Q.
    Jia L.
    Chen Q.
    Yin Y.
    Menenti M.
    National Remote Sensing Bulletin, 2021, 25 (04) : 974 - 989
  • [33] Evaluation of satellite and reanalysis estimates of surface and root-zone soil moisture in croplands of Jiangsu Province, China
    Fan, Lei
    Xing, Zanpin
    De Lannoy, Gabrielle
    Frappart, Frederic
    Peng, Jian
    Zeng, Jiangyuan
    Li, Xiaojun
    Yang, Kun
    Zhao, Tianjie
    Shi, Jiancheng
    Ma, Hongliang
    Wang, Mengjia
    Liu, Xiangzhuo
    Yi, Chuanxiang
    Ma, Mingguo
    Tang, Xuguang
    Wen, Jianguang
    Chen, Xiuzhi
    Wang, Chong
    Wang, Lingxiao
    Wang, Guojie
    Wigneron, Jean-Pierre
    REMOTE SENSING OF ENVIRONMENT, 2022, 282
  • [34] Downscaling of Satellite Remote Sensing Soil Moisture Products Over the Tibetan Plateau Based on the Random Forest Algorithm: Preliminary Results
    Chen, Qingqing
    Miao, Fang
    Wang, Hao
    Xu, Zi-Xin
    Tang, Zhiya
    Yang, Ling
    Qi, Shengxiu
    EARTH AND SPACE SCIENCE, 2020, 7 (06)
  • [35] A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation
    Mao, Taoning
    Shangguan, Wei
    Li, Qingliang
    Li, Lu
    Zhang, Ye
    Huang, Feini
    Li, Jianduo
    Liu, Wei
    Zhang, Ruqing
    REMOTE SENSING, 2022, 14 (16)
  • [36] Evaluation of SMOS soil moisture with other existing satellite products
    De Jeu, Richard
    Holmes, Thomas
    Wagner, Wolfgang
    Dorigo, Wouter
    Hahn, Sebastian
    Parinussa, Robert
    REMOTE SENSING AND HYDROLOGY, 2012, 352 : 25 - +
  • [37] Evaluation of global seamless soil moisture products over China: A perspective of soil moisture sensitivity to precipitation
    Hong, Xu
    Jia, Shaofeng
    Zhu, Wenbin
    Song, Zikun
    JOURNAL OF HYDROLOGY, 2024, 641
  • [38] Fusing satellite-based surface soil moisture products over a typical region with complex land surface characteristics
    Li, Liuyang
    Zhu, Qing
    Liu, Ya
    Lai, Xiaoming
    Liao, Kaihua
    JOURNAL OF HYDROLOGY, 2022, 612
  • [39] Advances in Research on Soil Moisture by Microwave Remote Sensing in China
    SONG Dongsheng1
    2. Graduate University of Chinese Academy of Sciences
    Chinese Geographical Science, 2007, (02) : 186 - 191
  • [40] Advances in research on soil moisture by microwave remote sensing in China
    Song Dongsheng
    Zhao Kai
    Guan Zhi
    CHINESE GEOGRAPHICAL SCIENCE, 2007, 17 (02) : 186 - 191