A method for estimating spatially continuous soil moisture from the synergistic use of geostationary and polar-orbit satellite data

被引:0
|
作者
Yan, Qiu-Yu [1 ,2 ]
Leng, Pei [2 ]
Li, Zhao-Liang [2 ,3 ]
Liao, Qian-Yu [3 ]
Zhou, Fang-Cheng [4 ]
Han, Xiao-Jing [5 ]
Ma, Jianwei [6 ]
Sun, Ya-Yong [6 ]
Zhang, Xia [1 ]
Shang, Guo-Fei [1 ]
机构
[1] School of Land Science and Spatial Planning/Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring, Hebei GEO University, Shijiazhuang,050031, China
[2] Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing,100081, China
[3] Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing,100101, China
[4] National Satellite Meteorological Center, Beijing,100081, China
[5] Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing,100081, China
[6] China Institute of Water Resources and Hydropower Research, Beijing,100038, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
下载
收藏
相关论文
共 27 条
  • [1] A method for estimating spatially continuous soil moisture from the synergistic use of geostationary and polar-orbit satellite data
    Yan, Qiu-Yu
    Leng, Pei
    Li, Zhao-Liang
    Liao, Qian-Yu
    Zhou, Fang-Cheng
    Han, Xiao-Jing
    Ma, Jianwei
    Sun, Ya-Yong
    Zhang, Xia
    Shang, Guo-Fei
    JOURNAL OF HYDROLOGY, 2022, 608
  • [2] Retrieving daily evapotranspiration from the combination of geostationary and polar-orbit satellite data
    Barrios, Jose Miguel
    Ghilain, Nicolas
    Arboleda, Alirio
    Gellens-Meulenberghs, Francoise
    2015 8TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTI-TEMP), 2015,
  • [3] Fog Detection over the Korean Peninsula Derived from Satellite Observations of Polar-orbit (MODIS) and Geostationary (GOES-9)
    Yoo, Jung-Moon
    Yun, Mi-Young
    Jeong, Myeong-Jae
    Ahn, Myoung-Hwan
    JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY, 2006, 27 (04): : 450 - 463
  • [4] Spatially and Temporally Complete Satellite Soil Moisture Data Based on a Data Assimilation Method
    Xiao, Zhiqiang
    Jiang, Lingmei
    Zhu, Zhongli
    Wang, Jindi
    Du, Jinyang
    REMOTE SENSING, 2016, 8 (01)
  • [5] Lessons learnt from synergistic use of polar and geostationary satellite sensors for the retrieval of aerosol characteristics
    Costa, MJ
    Cervino, M
    Cattania, E
    Torricella, F
    Levizzani, V
    Silva, AM
    OPTICAL SPECTROSCOPIC TECHNIQUES, REMOTE SENSING, AND INSTRUMENTATION FOR ATMOSPHERIC AND SPACE RESEARCH IV, 2001, 4485 : 17 - 27
  • [6] A method for estimating soil moisture from ERS scatterometer and soil data
    Wagner, W
    Lemoine, G
    Rott, H
    REMOTE SENSING OF ENVIRONMENT, 1999, 70 (02) : 191 - 207
  • [7] Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data
    Brocca, Luca
    Ciabatta, Luca
    Massari, Christian
    Moramarco, Tommaso
    Hahn, Sebastian
    Hasenauer, Stefan
    Kidd, Richard
    Dorigo, Wouter
    Wagner, Wolfgang
    Levizzani, Vincenzo
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2014, 119 (09) : 5128 - 5141
  • [8] A method for estimating hourly photosynthetically active radiation (PAR) in China by combining geostationary and polar-orbiting satellite data
    Li, Li
    Xin, Xiaozhou
    Zhang, Hailong
    Yu, Jiangfeng
    Liu, Qinhuo
    Yu, Shanshan
    Wen, Jianguang
    REMOTE SENSING OF ENVIRONMENT, 2015, 165 : 14 - 26
  • [9] An overview of the "triangle method" for estimating surface evapotranspiration and soil moisture from satellite imagery
    Carlson, Toby
    SENSORS, 2007, 7 (08) : 1612 - 1629
  • [10] Method for geostationary satellite thermal infrared data simulation from polar-orbiting MODIS sensors
    Qian, Yonggang
    Li, Kun
    Yao, Weiyuan
    Li, Wan
    Qiu, Shi
    Ma, Lingling
    Liang, Shi
    Yao, Guanglin
    OPTICS EXPRESS, 2021, 29 (26) : 43836 - 43851