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A New Approach for Environmental Modelling of LULC Changes in Semi-arid Regions of Anantapur District, Andhra Pradesh, India Using Geospatial Techniques

机译:印度anantapur区半干旱地区Lulc变化环境建模新方法,采用地理空间技术

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This study aims to define the changing pattern of land use and its geo-environmental impacts on the semi-arid region of Anantapur district of AP state, India. Satellite imageries were analysed to perceive the variations in land use and land cover in the past 9 years from 2010 to 2019. RS and GIS modelling has helped in the mapping of land use and land cover changes. The study has assumed five characteristic features, they are (i) Waterbodies, (ii) Vegetation, (iii) Fallow land, (iv) Cultivation lands, and (v) Degraded lands. The results reveal that, from 2010 to 2019, there is a decrease in water bodies, vegetation and fallow lands of 6.75 km2, 42.96 km2 and 105.45 km2 respectively. While cultivation lands and degraded lands increased to 4.7 km2 and 105.45 km2 respectively. The environmental ecosystem is disturbed due to the increase in degraded lands, thus making the study area turn into a desert. Normalized Differential Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) are very useful for the accuracy assessment of vegetation, cultivation land and waterbodies in this LULC change detection studies.
机译:本研究旨在确定印度AP州Anantapur区半干旱地区的土地利用变化及其地理环境影响。分析了卫星成像仪,从2010年到2019年的过去9年来看待土地利用和土地覆盖的变化。卢比和GIS建模有助于土地利用和土地覆盖变化的映射。该研究假设了五种特征特征,它们是(i)Waterbodies,(ii)植被,(iii)休耕土地,(iv)培养土地,和(v)降级土地。结果表明,从2010年到2019年,水体,植被和休耕地降低了6.75 km2,42.96 km2和105.45公里。虽然种植土地和降级的土地分别增加到4.7公里和105.45公里。由于降级的土地增加,环境生态系统受到干扰,从而使研究区域变成沙漠。归一化差分植被指数(NDVI)和土壤调整后的植被指数(SAVI)对于该LULC改变检测研究中的植被,培养土地和水资源性的准确性评估非常有用。

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