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DOI10.5194/hess-22-4935-2018
Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States
Mishra V.; Cruise J.F.; Hain C.R.; Mecikalski J.R.; Anderson M.C.
发表日期2018
ISSN1027-5606
起始页码4935
结束页码4957
卷号22期号:9
英文摘要The principle of maximum entropy (POME) can be used to develop vertical soil moisture (SM) profiles. The minimal inputs required by the POME model make it an excellent choice for remote sensing applications. Two of the major input requirements of the POME model are the surface boundary condition and profile-mean moisture content. Microwave-based SM estimates from the Advanced Microwave Scanning Radiometer (AMSR-E) can supply the surface boundary condition whereas thermal infrared-based moisture estimated from the Atmospheric Land EXchange Inverse (ALEXI) surface energy balance model can provide the mean moisture condition. A disaggregation approach was followed to downscale coarse-resolution (~25 km) microwave SM estimates to match the finer resolution (~5 km) thermal data. The study was conducted over multiple years (2006-2010) in the southeastern US. Disaggregated soil moisture estimates along with the developed profiles were compared with the Noah land surface model (LSM), as well as in situ measurements from 10 Natural Resource Conservation Services (NRCS) Soil Climate Analysis Network (SCAN) sites spatially distributed within the study region. The overall disaggregation results at the SCAN sites indicated that in most cases disaggregation improved the temporal correlations with unbiased root mean square differences (ubRMSD) in the range of 0.01-0.09 m3 m-3. The profile results at SCAN sites showed a mean bias of 0.03 and 0.05 (m3 m-3); ubRMSD of 0.05 and 0.06 (m3 m-3); and correlation coefficient of 0.44 and 0.48 against SCAN observations and Noah LSM, respectively. Correlations were generally highest in agricultural areas where values in the 0.6-0.7 range were achieved. © 2018 Hydrology and Earth System Sciences. All rights reserved.
语种英语
scopus关键词Boundary conditions; Climate models; Infrared radiation; Microwaves; Natural resources; Remote sensing; Soil conservation; Soil moisture; Advanced microwave scanning radiometer; Correlation coefficient; Principle of Maximum Entropy; Remote sensing applications; Root mean square differences; Soil moisture profiles; Surface boundary conditions; Surface energy balance modeling; Soil surveys
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/159908
作者单位Mishra, V., Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States, NASA-SERVIR, Marshall Space Flight Center, Huntsville, AL, United States; Cruise, J.F., Earth System Science Center, University of Alabama in Huntsville, Huntsville, AL, United States; Hain, C.R., NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States; Mecikalski, J.R., Atmospheric Science Department, University of Alabama in Huntsville, Huntsville, AL, United States; Anderson, M.C., Hydrology and Remote Sensing Laboratory, USDA Agricultural Research Service, Beltsville, MD, United States
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Mishra V.,Cruise J.F.,Hain C.R.,et al. Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States[J],2018,22(9).
APA Mishra V.,Cruise J.F.,Hain C.R.,Mecikalski J.R.,&Anderson M.C..(2018).Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States.Hydrology and Earth System Sciences,22(9).
MLA Mishra V.,et al."Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States".Hydrology and Earth System Sciences 22.9(2018).
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