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  • 标题:Landuse and Landcover Analysis Using Remote Sensing and GIS: A Case Study in Somavathi River, Anantapur District, Andhra Pradesh, India
  • 本地全文:下载
  • 作者:U. Imran Basha ; U. Suresh ; G. Sudarsana Raju
  • 期刊名称:Nature, Environment and Pollution Technology
  • 印刷版ISSN:0972-6268
  • 出版年度:2018
  • 卷号:17
  • 期号:3
  • 页码:1029-1033
  • 语种:English
  • 出版社:Technoscience Publications
  • 摘要:Land use/land cover (LULC) pattern of a region is an outcome of natural and socio-economic factors and their utilization by man in time and space. The increase in density of population is directly proportional to the land use/land cover. The present study shows the spatio-temporal dynamics of land use/cover of Somavathi river, Anantapur District, Andhra Pradesh India. Land use/land cover map was prepared in ArcGIS, ERDAS Imagine 9.3 through visual interpretation of IRS P6 LISS-III data and multitemporal of the area. The area in terms of LULC can be divided into following classes: Barren land, fallow land, forest, built-up land, agriculture land and water bodies. Landsat satellite imageries of two special time intervals, landsat thematic mapper (TM) of 2005-2006 and 2010-2011 have been obtained via global land cover facility site (GLCF) and earth explorer website and quantified the changes in the years 2005-2006 to 2010-11 over a length of 5 years. Supervised and unsupervised type methods have been employed using most chance techniques in ERDAS Imagine 9.3. The images of the area have been categorized into six exceptional classes, specifically forest, barren/wastelands, built-up, water bodies, agriculture and fallow land. The outcomes indicate that over the past 5 years, barren/wasteland, built-up land and fallow land have been changed by 1.22% (5.54 sq.km), 1.24% (5.54 sq.km) and 0.61% (2.77 sq.km) respectively, while agriculture and water bodies have decreased by 3.04% (13.86 sq.km) and 0.06% (0.28 sq.km) respectively of the total geographical area.
  • 关键词:Land use/land cover;Remote sensing;Somavathi river;Digital change detection;Landsat imagine
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