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

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.