title: Monitoring deterioration of vegetation cover in the vicinity of smelting industry, using statistical methods and TM and ETM(+) imageries, Sarcheshmeh copper complex, Central Iran.
abstract: Simple statistical methods on Normalized Difference Vegetation Index (NDVI) and bands 3 and 4 data of relatively coarse resolution Thematic Mapper (TM) and Enhanced Thematic Mapper plus (ETM(+)) imageries were used to investigate the impacts of air pollution on the deterioration of the vegetation cover in the Sarcheshmeh copper complex of central Iran. Descriptive statistics and k-means cluster analysis indicated that vegetation deterioration had already started in the prevailing wind directions. The results show that combination of simple statistical methods and satellite imageries can be used as effective monitoring tools to indicate vegetation stress even in regions of sparse vegetation. Despite various possible perturbing factors upon NDVI, this index remains to be a valuable quantitative vegetation monitoring tool.
authors.affiliation: Department of the Earth Sciences, College of Sciences, Shiraz University, Shiraz, 71454, Iran. f.rastmanesh@gmail.com
authors.forename: F
authors.initials: F
authors.lastname: Rastmanesh
authors.forename: F
authors.initials: F
authors.lastname: Moore
authors.forename: M
authors.initials: M
authors.lastname: Kharrati-Kopaei
authors.forename: M
authors.initials: M
authors.lastname: Behrouz
mesh_terms: D000393:Air Pollutants / Q000737:chemistry*; D016000:Cluster Analysis; D004784:Environmental Monitoring / Q000379:methods*; D007221:Industry; D007492:Iran; D010944:Plants / Q000737:chemistry*
chemical_list: D000393:Air Pollutants