Paper Info
Title
Digitizing the thermal and hydrological parameters of land surface in subtropical China using AMSR-E brightness temperatures.
Abstract
Digitizing the land surface temperature (T-s) and surface soil moisture (m(v)) is essential for developing the intelligent Digital Earth. Here, we developed a two parameter physical-based passive microwave remote sensing model for jointly retrieving T-s and m(v) using the dual-polarized T-b of Aqua satellite advanced microwave scanning radiometer (AMSR-E) C-band (6.9 GHz) based on the simplified radiative transfer equation. Validation using in situ T-s and m(v) in southern China showed the average root mean square errors (RMSE) of T-s and m(v) retrievals reach 2.42 K (R-2 = 0.61, n = 351) and 0.025 g cm(-3) (R-2 = 0.68, n = 663), respectively. The results were also validated using global in situ T-s (n = 2362) and m(v) (n = 1657) of International Soil Moisture Network. The corresponding RMSE are 3.44 k (R-2 = 0.86) and 0.039 g cm(-3) (R-2 = 0.83), respectively. The monthly variations of model-derived Ts and mv are highly consistent with those of the Moderate Resolution Imaging Spectroradiometer T-s (R-2 = 0.57; RMSE = 2.91 k) and ECV_SM m(v) (R-2 = 0.51; RMSE = 0.045 g cm(-3)), respectively. Overall, this paper indicates an effective way to jointly modeling T-s and m(v) using passive microwave remote sensing.
Year
DOI
Venue
2017
10.1080/17538947.2016.1247472
INTERNATIONAL JOURNAL OF DIGITAL EARTH
Keywords
Field
DocType
Surface soil moisture,land surface temperature,physical-based radiative transfer model,AMSR-E,brightness temperatures
Microwave,Satellite,Moderate-resolution imaging spectroradiometer,Remote sensing,Root mean square,Water content,Radiative transfer,Geography,Brightness,Radiometer
Journal
Volume
Issue
ISSN
10.0
7.0
1753-8947
Citations 
PageRank 
References 
0
0.34
11
Authors
5
Name
Order
Citations
PageRank
Yong-xian Su100.34
Xiu-zhi Chen201.35
Hua Su302.03
Liyang Liu400.34
Jishan Liao500.34