A new method to inverse soil moisture based on thermal infrared and passive microwave remote sensing

被引:1
|
作者
Zhou, Zhuang [1 ,2 ]
Kou, Xiaokang [1 ,2 ]
Zhao, Shaojie [1 ,2 ]
Jiang, Lingmei [1 ,2 ]
机构
[1] Beijing Normal Univ Beijing, Res Ctr Remote Sensing & GIS, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Beijing Normal Univ Beijing, Sch Geog, Beijing 100875, Peoples R China
来源
关键词
soil moisture; remote sensing; passive microwave; thermal infrared; EMISSION; BARE; SURFACES; FIELD; ROUGH;
D O I
10.1117/12.2069373
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Soil moisture is one of the main factors in the water, energy and carbon cycles. It constitutes a major uncertainty in climate and hydrological models. By now, passive microwave remote sensing and thermal infrared remote sensing technology have been used to obtain and monitor soil moisture. However, as the resolution of passive microwave remote sensing is very low and the thermal infrared remote sensing method fails to provide soil temperature on cloudy days, it is hard to monitor the soil moisture accurately. To solve the problem, a new method has been tried in this research. Thermal infrared remote sensing and passive microwave remote sensing technology have been combined based on the delicate experiment. Since the soil moisture retrieved by passive microwave in general represents surface centimeters deep, which is different from deeper soil moisture estimated by thermal inertia method, a relationship between the two depths soil moisture has been established based on the experiment. The results show that there is a good relationship between the soil moisture estimated by passive microwave and thermal infrared remote sensing method. The correlation coefficient is 0.78 and RMSE (root mean square error) is 0.0195cm(3).cm(-3). This research provides a new possible method to inverse soil moisture.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Soil moisture estimation over an arid environment in Mongolia from passive microwave remote sensing based on a simplified parameterization method
    Tian Hui
    Wang Cheng-Hai
    Wen Jun
    Wang Xin
    Lu Deng-Rong
    Lu Shao-Ning
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2012, 55 (02): : 415 - 427
  • [22] STUDY OF MICROWAVE REMOTE SENSING OF THE SOIL MOISTURE
    赵柏林
    韩庆源
    李慧心
    Science in China,SerB, 1986, Ser.B1986 (01) : 57 - 66
  • [23] PASSIVE MICROWAVE REMOTE-SENSING OF SOIL-MOISTURE - EXPERIMENTAL AND MODELING RESULTS
    KOSTOV, KG
    ADVANCES IN SPACE RESEARCH-SERIES, 1993, 13 (05): : 105 - 114
  • [24] PASSIVE MICROWAVE REMOTE-SENSING OF SOIL-MOISTURE FROM AIRCRAFT IN HUNGARY
    IJJAS, G
    RAO, YS
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1992, 13 (03) : 471 - 479
  • [25] Monitoring agricultural soil moisture extremes in Canada using passive microwave remote sensing
    Champagne, C.
    McNairn, H.
    Berg, A. A.
    REMOTE SENSING OF ENVIRONMENT, 2011, 115 (10) : 2434 - 2444
  • [26] PASSIVE MICROWAVE REMOTE-SENSING OF SOIL-MOISTURE FROM AN AIRCRAFT PLATFORM
    JACKSON, TJ
    SCHMUGGE, TJ
    ONEILL, P
    REMOTE SENSING OF ENVIRONMENT, 1984, 14 (1-3) : 135 - 151
  • [27] Use of active and passive microwave remote sensing for soil moisture estimation through corn
    ONeill, PE
    Chauhan, NS
    Jackson, TJ
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (10) : 1851 - 1865
  • [28] Introduction to the Special Issue on Large Scale Passive Microwave Remote Sensing of Soil Moisture
    Jackson, TJ
    Njoku, EG
    Lakshmi, V
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (08): : 1619 - 1620
  • [29] Active-passive Microwave Remote Sensing Data Combination for Retrieval of Soil Moisture
    Zhou Min-lu
    Guan Ze-qun
    INTERNATIONAL SYMPOSIUM ON LIDAR AND RADAR MAPPING 2011: TECHNOLOGIES AND APPLICATIONS, 2011, 8286
  • [30] A comparison on the soil moisture retrieval algorithms by using passive microwave remote sensing data
    Liou, Yuei-An
    Chang, Tzu-Yin
    28th Asian Conference on Remote Sensing 2007, ACRS 2007, 2007, 3 : 2176 - 2181