An Extension of the Alpha Approximation Method for Soil Moisture   Estimation Using Time-Series SAR Data Over Bare Soil Surfaces

doi:10.1109/LGRS.2017.2711006

CORC > 北京大学 > 地球与空间科学学院

	An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces
	He, Lian ; Qin, Qiming ; Panciera, Rocco ; Tanase, Mihai ; Walker, Jeffrey P. ; Hong, Yang
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2017
关键词	Bare surface soil moisture synthetic aperture radar (SAR) time series SCATTERING MODEL RADAR DATA RETRIEVAL ROUGHNESS
DOI	10.1109/LGRS.2017.2711006
英文摘要	The objective of this letter is to extend the alpha approximation method, a method proposed by Balenzano et al., for soil moisture retrieval from multitemporal synthetic aperture radar (SAR) data. The original alpha approach requires an initial estimate of the upper and lower bound soil moisture values to constrain the soil moisture retrieval. This letter demonstrates an extension of the alpha approach by employing the juxtaposition method to adaptively set the soil moisture bounds using the absolute radar backscatter values. This extended alpha method was tested using an airborne time series of L-band SAR data and coincident ground measurements acquired during the SMAPEx-3 experiment over bare agricultural fields. The agreement between estimated and measured soil moisture values was within a rootmean-square error of 0.07 cm(3)/cm(3) for each of the three polarization combinations used (i.e., HH, VV, and HH and VV). Moreover, inclusion of the two-polarization combination (HH and VV) slightly improved the retrieval performance. The proposed extension to the alpha method makes the most of the information contained in the SAR data time series by using dynamic, spatially explicit soil moisture bounds retrieved from the SAR data themselves.; National Natural Science Foundation of China [91437214, 41230747, 71461010701]; Australian Research Council [DP0984586, LE0882509, FS100100040]; SCI(E); ARTICLE; 8; 1328-1332; 14
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/471801]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	He, Lian,Qin, Qiming,Panciera, Rocco,et al. An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017.
APA	He, Lian,Qin, Qiming,Panciera, Rocco,Tanase, Mihai,Walker, Jeffrey P.,&Hong, Yang.(2017).An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS.
MLA	He, Lian,et al."An Extension of the Alpha Approximation Method for Soil Moisture Estimation Using Time-Series SAR Data Over Bare Soil Surfaces".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017).