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
  • [1] Comparisons of remote sensing and reanalysis soil moisture products over the Tibetan Plateau, China
    Ullah, Waheed
    Wang, Guojie
    Gao, Zhiqiu
    Hagan, Daniel Fiifi T.
    Lou, Dan
    COLD REGIONS SCIENCE AND TECHNOLOGY, 2018, 146 : 110 - 121
  • [2] Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations
    Deng, Yuanhong
    Wang, Shijie
    Bai, Xiaoyong
    Wu, Luhua
    Cao, Yue
    Li, Huiwen
    Wang, Mingming
    Li, Chaojun
    Yang, Yujie
    Hu, Zeyin
    Tian, Shiqi
    Lu, Qian
    HYDROLOGICAL PROCESSES, 2020, 34 (03) : 836 - 851
  • [3] Evaluating surface soil moisture characteristics and the performance of remote sensing and analytical products in Central Asia
    Yu, Tao
    Jiapaer, Guli
    Bao, Anming
    Zhang, Junfeng
    Tu, Haiyang
    Chen, Bojian
    De Maeyer, Philippe
    Voorde, Tim Van de
    JOURNAL OF HYDROLOGY, 2023, 617
  • [4] Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products
    Mohseni, Farzane
    Mirmazloumi, S. Mohammad
    Mokhtarzade, Mehdi
    Jamali, Sadegh
    Homayouni, Saeid
    REMOTE SENSING, 2022, 14 (18)
  • [5] Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes
    Jose Escorihuela, Maria
    Quintana-Segui, Pere
    REMOTE SENSING OF ENVIRONMENT, 2016, 180 : 99 - 114
  • [6] Evaluation of nine major satellite soil moisture products in a typical subtropical monsoon region with complex land surface characteristics
    Li, Liuyang
    Liu, Ya
    Zhu, Qing
    Liao, Kaihua
    Lai, Xiaoming
    INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2022, 10 (03) : 518 - 529
  • [7] Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data
    Wang, Jie
    Xue, Huazhu
    Dong, Guotao
    Yuan, Qian
    Zhang, Ruirui
    Jing, Runsheng
    APPLIED SCIENCES-BASEL, 2024, 14 (24):
  • [8] Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation
    Chen, Fan
    Crow, Wade T.
    Bindlish, Rajat
    Colliander, Andreas
    Burgin, Mariko S.
    Asanuma, Jun
    Aida, Kentaro
    REMOTE SENSING OF ENVIRONMENT, 2018, 214 : 1 - 13
  • [9] The need for regular remote sensing observations of global soil moisture
    Owe, M
    De Jeu, RAM
    SPATIAL METHODS FOR SOLUTION OF ENVIRONMENTAL AND HYDROLOGIC PROBLEMS-SCIENCE, POLICY, AND STANDARDIZATION, 2003, 1420 : 92 - 106
  • [10] Evaluation of Satellite and Reanalysis Soil Moisture Products over Southwest China Using Ground-Based Measurements
    Peng, Jian
    Niesel, Jonathan
    Loew, Alexander
    Zhang, Shiqiang
    Wang, Jie
    REMOTE SENSING, 2015, 7 (11): : 15729 - 15747