Using hyperion hyperpectral data and field spectrometry for identification of hydrocarbon leakagesvia VISA-SCM combined methodology and spatial data mining
Subject Areas :
Mohammad
حمزه
1
(University of Tehran)
علی
درویش بلورانی
2
سید کاظم
علوی پناه
3
(University of Tehran)
فروغ
بیک
4
حسین
نصیری
5
(University of Tehran)
Keywords: Oil seepage remote sensing Hyperspectral image EO-1/Hyperion Field spectrometry Data mining,
Abstract :
The hydrocarbon seepages theory puts forward a cause and effect relation ship between the oil and gas reservoir s and the specific surface anomalies which are basically related to hydrocarbon leakages as well as their related alterations. Hence,the spectral reflectance of the hydrocarbons and their linked mineral alterntions produce credible pieces of evidence for oil and gas ex ploration .Hyperion images of EO-1 satellite was used in this study for identifying the oil seepages and their relevant alterations. After collecting the required data,the images under went the needed preprocessing. In order to recognize the oil seepages, these corrected data along with field-sampled spectrometric ones were employed. Then, VISA and SCM combined model was applied to indirectly identify the hydrocarbon seepages . Moreover, two hydrocarbon indexes were developed for direct recognition of the hydrocarbon seeps using Hyperion images. The finding indicate that the two mentioned techniques are efficacious for the purpose of the study at hand