SPATIAL DOWNSCALING OF SMAP SOIL MOISTURE USING THE MODIS AND SRTM OBSERVATIONS

被引：0
|
作者：
Mohite, J.D. [1 ]
Sawant, S.A. [1 ]
Pandit, A. [1 ]
Pappula, S. [2 ]
机构：
[1] Tcs Research and Innovation, Tata Consultancy Services, Mumbai, India
[2] Tcs Research and Innovation, Tata Consultancy Services, Hyderabad, India
来源：
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | 2022年 / 43卷 / B3-2022期
关键词：
483.1 Soils and Soil Mechanics - 657.1 Solar Energy and Phenomena - 716.2 Radar Systems and Equipment - 921.4 Combinatorial Mathematics; Includes Graph Theory; Set Theory - 922.2 Mathematical Statistics - 943.2 Mechanical Variables Measurements - 944.7 Radiation Measuring Instruments - 951 Materials Science - 961 Systems Science;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
38
引用
收藏
页码：933 / 938
相关论文
共 50 条
  • [41] A primary study on downscaling microwave soil moisture with MOD16 and SMAP
    Sun H.
    Zhou B.
    Li H.
    Ruan L.
    National Remote Sensing Bulletin, 2021, 25 (03): : 776 - 790
  • [42] Low-Rank Gap Filling and Downscaling for SMAP Soil Moisture Datasets
    Beale, Kevin
    Bras, Rafael L.
    Romberg, Justin
    ECOHYDROLOGY, 2025, 18 (03)
  • [43] Downscaling SMAP soil moisture using a wide & deep learning method over the Continental United States
    Xu, Mengyuan
    Yao, Ning
    Yang, Haoxuan
    Xu, Jia
    Hu, Annan
    de Goncalves, Luis Gustavo Goncalves
    Liu, Gang
    JOURNAL OF HYDROLOGY, 2022, 609
  • [44] DOWNSCALING SMAP SOIL MOISTURE RETRIEVALS OVER AN AGRICULTURAL REGION IN CENTRAL MEXICO USING MACHINE LEARNING
    Carlos Hernandez-Sanchez, Juan
    Monsivais-Huertero, Alejandro
    Judge, Jasmeet
    Carlos Jimenez-Escalona, Jose
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 7049 - 7052
  • [45] Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework
    Llamas, Ricardo M.
    Valera, Leobardo
    Olaya, Paula
    Taufer, Michela
    Vargas, Rodrigo
    REMOTE SENSING, 2022, 14 (13)
  • [46] A deep learning approach for SMAP soil moisture downscaling informed by thermal inertia theory
    Xu, Mengyuan
    Yang, Haoxuan
    Hu, Annan
    Heng, Lee
    Li, Linyi
    Yao, Ning
    Liu, Gang
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 136
  • [47] SOIL MOISTURE RETRIEVAL ONLY USING SMAP L-BAND RADAR OBSERVATIONS
    Yao, Panpan
    Lu, Hui
    Wang, Wenli
    Shao, Changkun
    Yang, Kun
    Gianotti, Daniel
    Liu, Zhuang
    Huang, Xiaomeng
    Entekhabi, Dara
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4586 - 4589
  • [48] Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
    Im, Jungho
    Park, Seonyoung
    Rhee, Jinyoung
    Baik, Jongjin
    Choi, Minha
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (15)
  • [49] Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
    Jungho Im
    Seonyoung Park
    Jinyoung Rhee
    Jongjin Baik
    Minha Choi
    Environmental Earth Sciences, 2016, 75
  • [50] Investigating the Potential of Downscaling Approaches for SMAP Radiometer Soil Moisture in Agroforestry Areas, China
    Cui, Huizhen
    Jiang, Lingmei
    Wu, Menxin
    Wang, Jian
    Pan, Fangbo
    Liao, Wanjin
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 9369 - 9380
12345