• Chinese Optics Letters
  • Vol. 10, Issue s1, s11004 (2012)
Qianqian Li, Xiaomei Chen, Xing Liu, Bingjing Mao, and Guoqiang Ni
DOI: 10.3788/col201210.s11004 Cite this Article Set citation alerts
Qianqian Li, Xiaomei Chen, Xing Liu, Bingjing Mao, Guoqiang Ni. Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data[J]. Chinese Optics Letters, 2012, 10(s1): s11004 Copy Citation Text show less

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.
Qianqian Li, Xiaomei Chen, Xing Liu, Bingjing Mao, Guoqiang Ni. Study on oil and gas exploration in sparse vegetation areas by hyperspectral remote sensing data[J]. Chinese Optics Letters, 2012, 10(s1): s11004
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