Title :
Optimization of environmental monitoring principles along oil and gas pipelines using GIS and remote sensing
Author_Institution :
Inst. of Cartography, Dresden Univ. of Technol., Dresden, Germany
Abstract :
The main objectives of this research were to evaluate the vegetation restoration progress and to predict erosion-prone areas along the BTC Oil and the SCP Gas pipelines. Based on the GIS and Remote Sensing analysis of high resolution multispectral satellite images, the total area of restored vegetation cover between 2005 and 2007 was detected to be 10.7 million sq. m. An area of 8.9 million sq. m. of ground vegetation needed restoration. USLE performed better than MMF model by identifying of 192 erosion occurrences out of 316 along the pipelines.
Keywords :
environmental monitoring (geophysics); erosion; geographic information systems; image resolution; optimisation; pipelines; vegetation mapping; GIS; environmental monitoring; erosion-prone areas; gas pipelines; high resolution multispectral satellite images; oil pipelines; optimization; remote sensing; vegetation restoration; Image restoration; Mathematical model; Pipelines; Predictive models; Remote sensing; Soil; Vegetation mapping; Erosion; MMF; NDVI; USLE;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2013 7th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-4673-6419-5
DOI :
10.1109/ICAICT.2013.6722681
