Establishing baseline information on an enhanced coal bed methane site with SPOT VGT-S10 and ALOS PALSAR for safety monitoring

Author

Li, Xiaojing ; Ge, Linlin ; Hu, Zhe ; Cholathat, Rattanasuda

Author_Institution

Sch. of Surveying & Spatial Inf. Syst., Univ. of New South Wales, Sydney, NSW, Australia

fYear

2012

fDate

22-27 July 2012

Firstpage

4990

Lastpage

4993

Abstract

CO2 Enhanced Coal Bed Methane (ECBM) has been considered as one of the promising clean coal technologies to reduce green house gas emissions. Australia and China have begun a demonstrational project to explore the potential of ECBM in the gas/coal fields in Shanxi Province, China. A total of 12 ALOS PALSAR images and 354 SPOT VGT-S10 images have been successfully used to establish baseline information of ground deformation and vegetation dynamics on the site based on DInSAR and NDVI time series analysis respectively. Cross analysis between SOPT and MODIS has also been given. Such baseline information will play an important role in the future for monitoring environmental safety at the site.

Keywords

air pollution control; atmospheric techniques; environmental monitoring (geophysics); ALOS PALSAR images; Australia; China; DInSAR time series analysis; MODIS analysis; NDVI time series analysis; SOPT analysis; SPOT VGT-S10 images; Shanxi province; baseline information; clean coal technologies; coal field; demonstrational project; enhanced coal bed methane site; environmental safety monitoring; gas field; green house gas emissions; ground deformation baseline information; safety monitoring; vegetation dynamics; Coal; Interferometry; MODIS; Monitoring; Synthetic aperture radar; Time series analysis; Vegetation mapping; NDVI; change detection algorithms; displacement measurements; remote monitoring; vegetation stress mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352491

Filename

6352491