Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data

Qianqian Li, Xiaomei Chen*, Xing Liu, Bingjing Mao, Guoqiang Ni

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Oil microleakage can cause the land surface vegetation to be abnormal. An oil and gas exploration method based on the vegetation information in the hyperspectral remote sensing images is proposed. It's used to probe the effectiveness of extracting the oil and gas microleakage information, with the vegetation anomalies in the remote sensing images. A decision tree based on the vegetation index is taken to extract the anomalies areas of vegetation in the CASI images. It's shown by the experiment that there are some potential for the exploration of oil and gas in the areas covered by sparse vegetations.

Original languageEnglish
Article numberS11004
JournalChinese Optics Letters
Volume10
Issue numberSUPPL.1
DOIs
Publication statusPublished - Jun 2012

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Li, Q., Chen, X., Liu, X., Mao, B., & Ni, G. (2012). Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data. Chinese Optics Letters, 10(SUPPL.1), Article S11004. https://doi.org/10.3788/COL201210.S11004