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Landuse and Landcover Analysis Using Remote Sensing and GIS: A Case Study in Somavathi River, Anantapur District, Andhra Pradesh, India

机译:基于遥感和GIS的土地利用和土地覆盖分析:以印度安得拉邦阿南塔普尔地区的索马瓦西河为例

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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.
机译:一个地区的土地利用/土地覆盖(LULC)模式是自然和社会经济因素及其在人的时空中的利用的结果。人口密度的增加与土地利用/土地覆盖率成正比。本研究表明印度安得拉邦阿南塔普尔地区索马瓦蒂河的土地利用/覆盖的时空动态。通过对IRS P6 LISS-III数据和该地区的多时相的视觉解释,在ArcGIS ERDAS Imagine 9.3中准备了土地使用/土地覆盖图。就土地利用,土地利用变化和土地利用而言,该区域可分为以下几类:荒地,休耕地,森林,建成地,农业用地和水体。已通过全球土地覆盖设施站点(GLCF)和地球探索者网站获得了两个特殊时间间隔的Landsat卫星影像,即2005-2006年和2010-2011年的Landsat专题测绘仪(TM),并将2005-2006年的变化量化为2010-11历时5年。在ERDAS Imagine 9.3中,使用大多数机会技术采用了有监督和无监督类型的方法。该地区的图像已分为六类,分别是森林,荒芜/荒地,人满为患,水体,农业和休耕地。结果表明,在过去5年中,荒芜/荒地,建成地和休耕地已分别变化了1.22%(5.54平方公里),1.24%(5.54平方公里)和0.61%(2.77平方公里)。 ),而农业和水体分别下降了3.04%(13.86平方公里)和0.06%(0.28平方公里)。

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