A Change Detection Algorithm for Retrieving High-Resolution Soil Moisture From SMAP Radar and Radiometer Observations

被引:130
作者
Piles, Maria [1 ,2 ]
Entekhabi, Dara [3 ]
Camps, Adriano [1 ,2 ]
机构
[1] Univ Politecn Cataluna, Dept Teoria Senyal & Comunicac, Remote Sensing Lab, ES-08034 Barcelona, Spain
[2] Soil Moisture & Ocean Salin Barcelona Expert Ctr, Barcelona 08003, Spain
[3] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 12期
关键词
Change detection; microwave remote sensing; observation system simulation experiment (OSSE); radar; radiometer; Soil Moisture Active and Passive (SMAP) mission; L-BAND RADIOMETER; HYDROLOGY; SMEX02; SENSOR;
D O I
10.1109/TGRS.2009.2022088
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 change detection algorithm has been developed in order to obtain high-resolution soil moisture estimates from future Soil Moisture Active and Passive (SMAP) L- band radar and radiometer observations. The approach combines the relatively noisy 3-km radar backscatter coefficients and the more accurate 36-km radiometer brightness temperature into an optimal 10-km product. In preparation for the SMAP mission, an observation system simulation experiment (OSSE) and field experimental campaigns using the Passive and Active L-and S-band Airborne Sensor (PALS) have been conducted. We use the PALS airborne observations and OSSE data to test the algorithm and develop an error budget table. When applied to four-month OSSE data, the change detection method is shown to perform better than direct inversion of the radiometer brightness temperatures alone, improving the root mean square error by 2% volumetric soil moisture content. The main assumptions of the algorithm are verified using PALS data from the soil moisture experiments held during June-July 2002 (Soil Moisture Experiment 2002) in Iowa. The algorithm error budget is estimated and shown to meet SMAP science requirements.
引用
收藏
页码:4125 / 4131
页数:7
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