The Study of Soil Moisture Retrieval Algorithm from GNSS-R

被引：0
作者：
Mao Kebiao [1 ,2 ]
Zhang Mengyang [1 ]
Wang Jianming [1 ]
Tang Huajun [2 ]
Zhou Qingbo [2 ]
机构：
[1] Bejing Inst Satellite Informat Engn, Beijing 100086, Peoples R China
[2] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, MOA, Key Lab Resources Remote Sensing & Digital Agr, Beijing 100081, Peoples R China
来源：
2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 1, PROCEEDINGS | 2009年
关键词：
Soil Moisture; GNSS-R; AIEM Model; SMEX02; WIND-SPEED; OCEAN SURFACE; GPS SIGNALS; BACKSCATTERING; SCATTERING; ALTIMETRY; CANOPY; PARIS;
D O I：
10.1109/ETTandGRS.2008.12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The L1 band (1.58GHz) on board GPS satellite is very suitable for monitoring the change of soil moisture. The research for retrieval of soil moisture from GNSS-R is just beginning. This paper makes an analysis by using simulation data from AIEM model and experiment data from SMEX02. The analysis for simulation data from AIEM model shows that scattering signal of GPS is influenced much by angle and roughness, so the retrieval algorithm should consider the angle and roughness. The analysis of experiment data in SMEX02 indicates that the average correlation coefficient is above 0.85 between soil moisture and GNSS-R SNR for a single field site, so the soil moisture can be accurately retrieved by GNSS-R for single site, and the retrieval algorithm should be built for single site under considering incidence angle.
引用
收藏
页码：438 / +
页数：2
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