Assessment of the AMSR-E soil moisture product over India

被引：16
|
作者：
Chaurasia, Sasmita [1 ]
Do Thanh Tung [2 ]
Thapliyal, P. K. [1 ]
Joshi, P. C. [1 ]
机构：
[1] Indian Space Res Org, Div Atmospher Sci, Meteorol & Oceanog Grp, RESA,Space Applicat Ctr, Ahmadabad 380015, Gujarat, India
[2] Viet Nam Inst Meteorol Hydrol & Environm, Hanoi, Vietnam
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2011年 / 32卷 / 23期
关键词：
IN-SITU DATA; MODEL; RETRIEVAL; SURFACE;
D O I：
10.1080/01431161.2010.531782
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 a very important boundary parameter in numerical weather prediction at different spatial and temporal scales, controlling the exchange of water and energy between the atmosphere and land surface. Satellite-based microwave radiometric observations are considered to be the best for soil moisture remote sensing because of their high sensitivity, as well as their all-weather and day-night observation capabilities with high repeativity. In this study, an attempt has been made to assess the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-EOS) soil moisture product over India. The AMSR-E soil moisture product has been assessed using in situ soil moisture observations made by the India Meteorological Department (IMD) during the monsoon period (May-August) for the years 2002-2006 over 18 meteorological stations. Apart from assessing AMSR-E soil moisture retrieval accuracy, this study also investigates the effect of vegetation, topography and coastal water contamination, and determines the regions where the AMSR-E soil moisture product could be useful for different applications.
引用
收藏
页码：7955 / 7970
页数：16
相关论文
共 50 条
  • [31] A comparison of in situ precipitation with soil moisture retrieved from AMSR-E
    Mikai, H
    Arai, Y
    Mutoh, T
    Imaoka, K
    Shibata, A
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 3460 - 3461
  • [32] Comparison between SPI and soil moisture retrieved from AMSR-E
    Xu, Jingwen
    Zhao, Junfang
    Wang, Yupeng
    Chen, Qionglian
    Zeng, Liwei
    ADVANCED MATERIALS AND PROCESSES III, PTS 1 AND 2, 2013, 395-396 : 511 - +
  • [33] Validation of AMSR-E Soil Moisture Products Using Watershed Networks
    Jackson, T. J.
    Cosh, M. H.
    Zhan, X.
    Bosch, D. D.
    Seyfried, M. S.
    Starks, P. J.
    Keefer, T.
    Lakshmi, V.
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 432 - +
  • [34] An Intercomparison of ERS-Scat and AMSR-E Soil Moisture Observations with Model Simulations over France
    Ruediger, Christoph
    Calvet, Jean-Christophe
    Gruhier, Claire
    Holmes, Thomas R. H.
    de Jeu, Richard A. M.
    Wagner, Wolfgang
    JOURNAL OF HYDROMETEOROLOGY, 2009, 10 (02) : 431 - 447
  • [35] MULTI-ALGORITHM ENSEMBLE RECONSTRUCTION OF SURFACE SOIL MOISTURE OVER CHINA FROM AMSR-E
    Lu, Hui
    Gong, Peng
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 718 - 721
  • [36] ROBUST ASSESSMENT OF AN OPERATIONAL ALGORITHM FOR THE RETRIEVAL OF SOIL MOISTURE FROM AMSR-E DATA IN CENTRAL ITALY
    Santi, E.
    Paloscia, S.
    Pettinato, S.
    Brocca, L.
    Ciabatta, L.
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1288 - 1291
  • [37] Robust Assessment of an Operational Algorithm for the Retrieval of Soil Moisture From AMSR-E Data in Central Italy
    Santi, Emanuele
    Paloscia, Simonetta
    Pettinato, Simone
    Brocca, Luca
    Ciabatta, Luca
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (06) : 2478 - 2492
  • [38] IMPROVING THE AMSR-E/NASA SOIL MOISTURE DATA PRODUCT USING IN-SITU MEASUREMENTS IN THE TIBETAN PLATEAU
    Xie, Qiuxia
    Menenti, Massimo
    Jia, Li
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 7085 - 7088
  • [39] An algorithm for retrieving soil moisture from AMSR-E passive microwave data
    Mao K.
    Hu D.
    Huang J.
    Zhang W.
    Zhang L.
    Zou J.
    Tang H.
    Gaojishu Tongxin/Chinese High Technology Letters, 2010, 20 (06): : 651 - 659
  • [40] Soil moisture estimates on global scale from AMSR-E brightness temperatures
    Paloscia, S
    Macelloni, G
    Santi, E
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 857 - 860
12345