Methodology of processing satellite imagery to identify oil-derived water pollutants
Abstract
Publication presents determination of optimal methods for processing satellite imagery to provide information on marine oil derivative pollutants.As a part of the research, a series of operations were conducted to extract thematic information about the oil spill. Starting from techniques that improve the visual properties of the interpretation and ending with semi-automatic techniques or automatic extraction of thematic information.The comparative analysis of the methods used was directed both at the effectiveness and speed of their execution. Multispectral data recorded by the ETM + sensor was used for the purposes of the research. Processes were conducted to enhance the content of individual images as well as the full set of channels. Information about the oil spill was extracted on the basis of acquired imagery.The result of the research is the selection of optimal Landsat 7 satellite spectral channels for detecting crude oil in the marine environment and the selection of the best digital image processing methods to extract leak information from the image. The information obtained, allowed to determine the location of oil spots, and also confirmed the usefulness of Landsat images recorded in SLC-off mode for performing such analyzes.
- Publication:
-
42nd COSPAR Scientific Assembly
- Pub Date:
- July 2018
- Bibcode:
- 2018cosp...42E3574W