Physically based estimation of bare-surface soil moisture with the passive radiometers

被引:104
|
作者
Shi, Jiancheng [1 ]
Jiang, Lingmei
Zhang, Lixin
Chen, K. S.
Wigneron, Jean-Pierre
Chanzy, Andre
Jackson, Thomas J.
机构
[1] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100864, Peoples R China
[2] Beijing Normal Univ, Beijing 100875, Peoples R China
[3] Univ Calif Santa Barbara, Inst Computat Earth Syst Sci, Santa Barbara, CA 93106 USA
[4] Beijing Normal Univ, Ctr Remote Sensing & Geopg Informat Syst, Beijing 100871, Peoples R China
[5] Natl Cent Univ, Ctr Space & Remote Sensing Res, Chungli 32054, Taiwan
[6] Ecol Fonct & Phys Environm, EPHYSE, INRA, F-33883 Bordeaux, France
[7] INRA, F-84000 Avignon, France
[8] USDA, ARS, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA
来源
基金
中国国家自然科学基金;
关键词
inversion technique; passive microwave; roughness; soil moisture;
D O I
10.1109/TGRS.2006.876706
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A physically based bare-surface soil moisture inversion technique for application with passive microwave satellite measurements, including the Advanced Microwave-Scanning Radiometer-Earth Observing System, Special Sensor Microwave/Imager, Scanning Multichannel Microwave Radiometer, and Tropical Rainfall Measuring Mission Microwave Imager, was developed in this paper. The inversion technique is based on the concept of a simple parameterized surface emission model, the Q(p) model, which was developed using advanced integral equation model simulations of microwave emission. Through evaluation of the relationship between roughness parameters Q(p) at different polarizations, it was found that they could be described by a linear function. Using this relationship and the surface enrissivities measured from two polarizations, the effect of the surface roughness is cancelled out. In other words, this approach consisted in adding different weights on the v and h polarization measurements so as to minimize the surface roughness effects. This method leads to a dual-polarization inversion technique for the estimation of the surface dielectric properties directly from the emissivity measurements. For validation, we compared the soil moisture estimates, derived from ground radiometer measurements at C- to Ka-band obtained from the Institute National de Recherches Agronorniques' field experimental data in 1993 and the Beltsville Agricultural Research Center's field experimental data at C- and X-band obtained in 1979-1982, with the field in situ soil moisture measurements. The accuracies [root-mean-square error (rmse)] are higher than 4% for the available experimental data at the incidence angles of 50 degrees and 60 degrees. The newly developed inversion technique should be very useful in monitoring global soil moisture properties using the currently available satellite instruments that commonly have incidence angles between 50 degrees and 55 degrees.
引用
收藏
页码:3145 / 3153
页数:9
相关论文
共 50 条
  • [1] A parameterized surface reflectivity model and estimation of bare-surface soil moisture with L-band radiometer
    Shi, JC
    Chen, KS
    Li, Q
    Jackson, TJ
    O'Neill, PE
    Tsang, L
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (12): : 2674 - 2686
  • [2] Application of LS-SVM to the Retrieval of Bare-surface Soil Moisture from Simulated Active and Passive Microwave Data
    Liang, Weibo
    Zhang, Qinghe
    [J]. 2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS), 2016, : 1380 - 1382
  • [3] On improvement of bare surface soil moisture estimation
    Shi, JC
    Van Zyl, J
    [J]. IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1834 - 1836
  • [4] A Model of Surface Roughness for Use in Passive Remote Sensing of Bare Soil Moisture
    Goodberlet, Mark A.
    Mead, James B.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (09): : 5498 - 5505
  • [5] Estimation of bare surface soil moisture using geostationary satellite data
    Zhang, Xiaoyu
    Tang, Bohui
    Jia, Yuan-yuan
    Li, Zhao-Liang
    [J]. IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1931 - 1934
  • [6] SOIL MOISTURE ESTIMATION BASED ON THE AIEM FOR BARE AGRICULTURAL AREA
    Zhang, Xiang
    Tang, Xinming
    Gao, Xiaoming
    Zhao, Hui
    Li, Tao
    Chen, Qianfu
    [J]. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 4723 - 4726
  • [7] A physically based approach for the estimation of root-zone soil moisture from surface measurements
    Manfreda, S.
    Brocca, L.
    Moramarco, T.
    Melone, F.
    Sheffield, J.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2014, 18 (03) : 1199 - 1212
  • [8] Retrieval of Bare-surface Soil Moisture from Simulated Brightness Temperature Using Least Squares Support Vector Machines Technique
    Xu, Fei
    Zhang, Qinghe
    Zou, Qiyuan
    [J]. PIERS 2014 GUANGZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2014, : 1508 - 1512
  • [9] MAPPING SURFACE SOIL-MOISTURE WITH MICROWAVE RADIOMETERS
    SCHMUGGE, T
    JACKSON, TJ
    [J]. METEOROLOGY AND ATMOSPHERIC PHYSICS, 1994, 54 (1-4) : 213 - 223
  • [10] A Physically Based Soil Moisture Index From Passive Microwave Brightness Temperatures for Soil Moisture Variation Monitoring
    Zeng, Jiangyuan
    Chen, Kun-Shan
    Cui, Chenyang
    Bai, Xiaojing
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (04): : 2782 - 2795