DocumentCode :
3069065
Title :
Soil moisture monitoring based on HJ-1C S-band SAR image and experimental data
Author :
Lei He ; Ling Tong ; Yan Chen ; Mingquan Jia ; Jiancheng Shi
Author_Institution :
Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3754
Lastpage :
3757
Abstract :
The paper proposed a soil moisture retrieval model with S-band field experimental data and volumetric water content measured in field. Focused on the problem that antenna irradiated region may not meet the minimum radar resolution pixel, the research applied the multiple independent samples measuring method and analyzed the relevance between soil moisture and backscattering coefficient of S-band VV polarization. The inversion equation obtained was applied to inverse soil moisture from SAR (Synthetic Aperture Radar) S-band images of HJ-1C (a satellite designed for environment and disaster monitoring). The inversion results were verified by the multiple independent samples data measured and agreed well with the experimental data, which shows the S-band VV polarization data can be used to monitor the soil moisture in a large scale.
Keywords :
backscatter; remote sensing by radar; soil; synthetic aperture radar; HJ-1C S-band SAR image; Synthetic Aperture Radar; antenna irradiated region; backscattering coefficient; soil moisture monitoring; volumetric water content; Abstracts; Accuracy; Equations; L-band; Mathematical model; Moisture; Sun; Backscattering coefficient; HJ-1C; Inversion model; S-band; Soil moisture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723647
Filename :
6723647
Link To Document :
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