Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006

被引:49
作者
Mladenova, Iliana [1 ,2 ]
Lakshmi, Venkat [2 ]
Jackson, Thomas J. [3 ]
Walker, Jeffrey P. [4 ,7 ]
Merlin, Olivier [4 ,5 ]
de Jeu, Richard A. M. [6 ]
机构
[1] ARS, USDA, Hydrol & Remote Sensing Lab BARC W, Beltsville, MD 20705 USA
[2] Univ S Carolina, Dept Geol Sci, Columbia, SC 29208 USA
[3] USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA
[4] Univ Melbourne, Dept Civil & Environm Engn, Melbourne, Vic, Australia
[5] Ctr Etud Spatieles BIOsphere, Toulouse, France
[6] Vrije Univ Amsterdam, Dept Hydrol & GeoEnvironm Sci, Amsterdam, Netherlands
[7] Monash Univ, Dept Civil Engn, Melbourne, Vic 3004, Australia
关键词
Algorithm validation; AMSR-E; Irrigation; L-band radiometry; NAFE; Rice paddies; Standing water; VEGETATION OPTICAL DEPTH; MICROWAVE EMISSION; RETRIEVAL; METHODOLOGY; MODEL; PSR;
D O I
10.1016/j.rse.2011.04.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
AMSR-E has been extensively evaluated under a wide range of ground and climate conditions using in situ and aircraft data, where the latter were primarily used for assessing the T-B calibration accuracy. However, none of the previous work evaluates AMSR-E performance under the conditions of flood irrigation or other forms of standing water. Also, it should be mentioned that global soil moisture retrievals from AMSR-E typically utilize X-band data. Here, C-band based AMSR-E soil moisture estimates are evaluated using 1 km resolution retrievals derived from L-band aircraft data collected during the National Airborne Field Experiment (NAFE'06) field campaign in November 2006. NAFE'06 was conducted in the Murrumbidgee catchment area in southeastern Australia, which offers diverse ground conditions, including extensive areas with dryland, irrigation, and rice fields. The data allowed us to examine the impact of irrigation and standing water on the accuracy of satellite-derived soil moisture estimates from AMSR-E using passive microwave remote sensing. It was expected that in fields with standing water, the satellite estimates would have a lower accuracy as compared to soil moisture values over the rest of the domain. Results showed sensitivity of the AMSR-E to changes in soil moisture caused by both precipitation and irrigation, as well as good spatial (average R = 0.92 and RMSD = 0.049 m(3)/m(3)) and temporal (R = 0.94 and RMSD = 0.04 m(3)/m(3)) agreement between the satellite and aircraft soil moisture retrievals; however, under the NAFE'06 ground conditions, the satellite retrievals consistently overestimated the soil moisture conditions compared to the aircraft. Published by Elsevier Inc.
引用
收藏
页码:2096 / 2103
页数:8
相关论文
共 38 条
[1]  
Ashcroft P., 2003, AMSR E AQUA L2A GLOB
[2]   Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions [J].
Bindlish, R. ;
Jackson, T. J. ;
Gasiewski, A. ;
Stankov, B. ;
Klein, M. ;
Cosh, M. H. ;
Mladenova, I. ;
Watts, C. ;
Vivoni, E. ;
Lakshmi, V. ;
Bolten, J. ;
Keefer, T. .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (02) :375-390
[3]   Soil moisture mapping and AMSR-E validation using the PSR in SMEX02 [J].
Bindlish, Rajat ;
Jackson, Thomas J. ;
Gasiewski, Albin J. ;
Klein, Marian ;
Njoku, Eni G. .
REMOTE SENSING OF ENVIRONMENT, 2006, 103 (02) :127-139
[4]   Large scale measurements of soil moisture for validation of remotely sensed data: Georgia soil moisture experiment of 2003 [J].
Bosch, DD ;
Lakshmi, V ;
Jackson, TJ ;
Choi, M ;
Jacobs, JM .
JOURNAL OF HYDROLOGY, 2006, 323 (1-4) :120-137
[5]   Remote sensing observatory validation of surface soil moisture using Advanced Microwave Scanning Radiometer E, Common Land Model, and ground based data: Case study in SMEX03 Little River Region, Georgia, US [J].
Choi, Minha ;
Jacobs, Jennifer M. ;
Bosch, David D. .
WATER RESOURCES RESEARCH, 2008, 44 (08)
[6]  
COSH M, IEEE GEOSCI IN PRESS
[7]   Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates [J].
Cosh, MH ;
Jackson, TJ ;
Bindlish, R ;
Prueger, JH .
REMOTE SENSING OF ENVIRONMENT, 2004, 92 (04) :427-435
[8]   The effects of scene heterogeneity on soil moisture retrieval from passive microwave data [J].
Davenport, Ian J. ;
Sandells, Melody J. ;
Gurney, Robert J. .
ADVANCES IN WATER RESOURCES, 2008, 31 (11) :1494-1502
[9]   Global Soil Moisture Patterns Observed by Space Borne Microwave Radiometers and Scatterometers [J].
de Jeu, R. A. M. ;
Wagner, W. ;
Holmes, T. R. H. ;
Dolman, A. J. ;
van de Giesen, N. C. ;
Friesen, J. .
SURVEYS IN GEOPHYSICS, 2008, 29 (4-5) :399-420
[10]   Further validation of a new methodology for surface moisture and vegetation optical depth retrieval [J].
De Jeu, RAM ;
Owe, M .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (22) :4559-4578