Research on the technology of hyperspectral remote sensing oil-gas exploration based on vegetation reflection spectrum anomalies

Qianqian Li, Xiaomei Chen*, Na Liu, Guoqiang Ni, Tian Lan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Seepage of underground oil-gas reservoirs will bring stress effects for poisoning of roots of vegetation in the environment, which will be reflected in vegetation canopy reflectance spectra. In order to explore how to extract anomalous vegetation resulting from natural oil-gas microseepage by hyperspectral remote sensing images, this paper presents a data processing flow for effectively extracting wild anomalous vegetation resulting from oil-gas microseepage. Sparse vegetation covered area in Yulin, China was taken as an experimental zone, the CASI images were used as test data, wild vegetation anomaly spectrum information resulting from oil-gas microseepage was extracted according to the flow, and the oil-gas anomaly zone is hereby delineated. Locations of small gas wells known in the research zone and the resulting anomaly zone are highly conforming, which verifies the effectiveness of the data processing flow, and can provide some reference and basis for oil-gas exploration in other cover type areas.

Original languageEnglish
Title of host publication2014 6th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2014
PublisherIEEE Computer Society
ISBN (Electronic)9781467390125
DOIs
Publication statusPublished - 28 Jun 2014
Event6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 - Lausanne, Switzerland
Duration: 24 Jun 201427 Jun 2014

Publication series

NameWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Volume2014-June
ISSN (Print)2158-6276

Conference

Conference6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014
Country/TerritorySwitzerland
CityLausanne
Period24/06/1427/06/14

Keywords

  • Hyperspectral remote sensing
  • differential spectrum
  • oil-gas exploration
  • red edge position
  • vegetation anomaly

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Cite this

Li, Q., Chen, X., Liu, N., Ni, G., & Lan, T. (2014). Research on the technology of hyperspectral remote sensing oil-gas exploration based on vegetation reflection spectrum anomalies. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 Article 8077641 (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; Vol. 2014-June). IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2014.8077641