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

页码：7955 / 7970

页数：16

共 50 条

[21] Application of a Time-Series-Based Methodology for Soil Moisture Estimation From AMSR-E Observations Over India
Chaurasia, Sasmita
Thapliyal, Pradeep K.
Pal, Pradip K.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (05) : 818 - 821
[22] COMPARING SOIL MOISTURE RETRIEVALS FROM SMOS, ASCAT AND AMSR-E OVER THE PAMPAS PLAINS
Smucler, E.
Carballo, F.
Grings, F.
Bruscantini, C.
Salvia, M.
Crow, W.
Karszenbaum, H.
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
[23] An evaluation of soil moisture from AMSR-E over source area of the Yellow River, China
Zhang, TangTang
Gebreinichael, Mekonnen
Koppa, Akash
Meng, XianHong
Du, Qun
Wen, Jun
SCIENCES IN COLD AND ARID REGIONS, 2019, 11 (06): : 461 - 469
[24] Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression
Zhang, Hongyan
Wang, Shudong
Liu, Kai
Li, Xueke
Li, Zhengqiang
Zhang, Xiaoyuan
Liu, Bingxuan
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (02)
[25] Assessment of soil moisture through field measurements and AMSR-E remote sensing data analysis over Kuwait desert
Al Jassar, Hala Khalid
Rao, Kota Sivasankara
KUWAIT JOURNAL OF SCIENCE, 2015, 42 (02) : 250 - 260
[26] AMSR-E Soil Moisture Disaggregation Using MODIS and NLDAS Data
Fang, Bin
Lakshmi, Venkat
REMOTE SENSING OF THE TERRESTRIAL WATER CYCLE, 2015, 206 : 277 - 304
[27] Validation of AMSR-E soil moisture algorithms with ground based networks
Jackson, T. J.
Cosh, M. H.
Bindlish, R.
Du, J.
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1181 - 1184
[28] Surface temperature effect on soil moisture retrieval from AMSR-E
Guo, Ying
Shi, Jiancheng
Mao, Kebiao
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1192 - 1195
[29] Retrieval of Bare Surface Soil Moisture from AMSR-E Data
Han, Nianlong
Chen, Shengbo
Wang, Zijun
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 2, 2010, : 67 - 72
[30] Impact of Rainfall on the Retrieval of Soil Moisture using AMSR-E data
Jin, Kyoung-Wook
Njoku, Eni
Chan, Steven
2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 1740 - 1743

← 1 2 3 4 5 →