SOIL MOISTURE RETRIEVAL BY COMBINING USING ACTIVE AND PASSIVE MICROWAVE DATA

被引:0
|
作者
Li, Shangnan [1 ,2 ]
Zhao, Tianjie [2 ]
Shi, Jiancheng [2 ]
Hu, Lu [2 ]
Zhao, Rui [1 ,2 ]
机构
[1] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130026, Jilin, Peoples R China
[2] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
关键词
active and passive microwave remote sensing; soil moisture; soil moisture retrieval algorithm; Aquarius satellite; active microwave; passive microwave;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Active and passive microwave remote sensing have their particular characteristics. Active microwave is more sensitive to vegetation cover and surface soil roughness, while passive microwave is more sensitive to the surface soil moisture. A new retrieval algorithm has been proposed by using Aquarius and SMAP satellites' active and passive microwave observations to retrieve soil moisture products in different spatial scales. The retrieval results of soil moisture have been verified with the ground observations of soil moisture and temperature measurement (SMTM) stations in Naqu, China. The advantages and disadvantages of the algorithm have also been evaluated to analyze the practical value of the new soil moisture retrieval algorithm.
引用
收藏
页码:7487 / 7490
页数:4
相关论文
共 50 条
  • [31] Application of LS-SVM to the Retrieval of Bare-surface Soil Moisture from Simulated Active and Passive Microwave Data
    Liang, Weibo
    Zhang, Qinghe
    2016 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS), 2016, : 1380 - 1382
  • [32] Evaluation of post-retrieval de-noising of active and passive microwave satellite soil moisture
    Su, Chun-Hsu
    Narsey, Sugata Y.
    Gruber, Alexander
    Xaver, Angelika
    Chung, Daniel
    Ryu, Dongryeol
    Wagner, Wolfgang
    REMOTE SENSING OF ENVIRONMENT, 2015, 163 : 127 - 139
  • [33] Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors
    Santi, Emanuele
    Paloscia, Simonetta
    Pettinato, Simone
    Fontanelli, Giacomo
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 48 : 61 - 73
  • [34] Comparison of two retrieval methods with combined passive and active microwave remote sensing observations for soil moisture
    Li, Qin
    Zhong, Ruofei
    Huang, Jianxi
    Gong, Huili
    MATHEMATICAL AND COMPUTER MODELLING, 2011, 54 (3-4) : 1181 - 1193
  • [35] Improving satellite soil moisture estimates by combining passive and active microwave observations (1992-2008)
    Liu, Yi
    Parinussa, Robert
    Dorigo, Wouter
    de Jeu, Richard
    Wagner, Wolfgang
    McCabe, Matthew
    Evans, Jason
    van Dijk, Albert
    REMOTE SENSING AND HYDROLOGY, 2012, 352 : 16 - +
  • [36] Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data
    Hasan, Sayeh
    Montzka, Carsten
    Ruediger, Christoph
    Al, Muhammad
    Bogena, Heye R.
    Vereecken, Harry
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 91 : 59 - 71
  • [37] Salinity and Soil Moisture Retrieval Algorithms in Western Jilin Province of China Using Passive Microwave Remote Sensing Data
    Fu, Haoyang
    Gu, Lingjia
    Ren, Ruizhi
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY XII, 2015, 9610
  • [38] Enhancing Soil Moisture Active-Passive Estimates with Soil Moisture Active-Passive Reflectometer Data Using Graph Signal Processing
    Garcia-Cardona, Johanna
    Rodriguez-Alvarez, Nereida
    Munoz-Martin, Joan Francesc
    Bosch-Lluis, Xavier
    Oudrhiri, Kamal
    REMOTE SENSING, 2024, 16 (08)
  • [39] Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm
    Karthikeyan, Lanka
    Pan, Ming
    Kumar, Dasika Nagesh
    Wood, Eric F.
    SENSORS, 2020, 20 (04)
  • [40] Model investigation of the effect of vegetation on passive microwave soil moisture retrieval
    Zhang, ZJ
    Sun, GQ
    MICROWAVE REMOTE SENSING OF THE ATMOSPHERE AND ENVIRONMENT III, 2003, 4894 : 140 - 149