An Algorithm for Merging SMAP Radiometer and Radar Data for High-Resolution Soil-Moisture Retrieval

被引:247
作者
Das, Narendra N. [1 ]
Entekhabi, Dara [2 ,3 ]
Njoku, Eni G. [1 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[2] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
[3] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2011年 / 49卷 / 05期
基金
美国国家航空航天局;
关键词
L-band; radar; radiometer; soil moisture; Soil Moisture Active and Passive (SMAP); L-BAND RADIOMETER;
D O I
10.1109/TGRS.2010.2089526
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A robust and simple algorithm is developed to merge L-band radiometer retrievals and L-band radar observations to obtain high-resolution (9-km) soil-moisture estimates from data of the NASA Soil Moisture Active and Passive (SMAP) mission. The algorithm exploits the established accuracy of coarse-scale radiometer soil-moisture retrievals and blends this with the fine-scale spatial heterogeneity detectable by radar observations to produce a high-resolution optimal soil-moisture estimate at 9 km. The capability of the algorithm is demonstrated by implementing the approach using the airborne Passive and Active L-band System (PALS) instrument data set from Soil Moisture Experiments 2002 (SMEX02) and a four-month synthetic data set in an Observation System Simulation Experiment (OSSE) framework. The results indicate that the algorithm has the potential to obtain better soil-moisture accuracy at a high resolution and show an improvement in root-mean-square error of 0.015-0.02-cm(3)/cm(3) volumetric soil moisture over the minimum performance taken to be retrievals based on radiometer measurements resampled to a finer scale. These results are based on PALS data from SMEX02 and a four-month OSSE data set and need to be further confirmed for different hydroclimatic regions using airborne data sets from prelaunch calibration/validation field campaigns of the SMAP mission.
引用
收藏
页码:1504 / 1512
页数:9
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