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Data on identification of desertified regions in Anantapur district Southern India by NDVI approach using remote sensing and GIS

机译:NDVI方法通过遥感和GIS识别印度南部阿南塔普尔地区荒漠化地区的数据

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摘要

Present dataset aims at the inventory data on preparation of Desertification Status Maps (DSM) for the first time in semi-arid region of Anantapur district in the state of Andhra Pradesh, South India by applying Normalized Difference Vegetation Index (NDVI) with acquired Remote Sensing (RS) satellite imageries and processed in ERDAS Imagine and ArcGIS software's. The NDVI has been classified into five such as water body, vegetation, fallow land, degradation land, and desertified land. Further, degradation land has been decreased to 4.87% which lead to desertification in the study region. The current research data will be resourceful to the environmental scientists and planning agencies who can utilize optimum for sustainable development and good governance in land degradation, desertification, and conserve land resources.
机译:当前数据集的目标是通过应用归一化差异植被指数(NDVI)和获得的遥感技术,在印度南部安得拉邦阿纳塔普尔州半干旱地区的半干旱地区首次编制荒漠化状况图(DSM)的清单数据。 (RS)卫星图像,并在ERDAS Imagine和ArcGIS软件中进行处理。 NDVI已分为五类,例如水体,植被,休耕地,退化土地和荒漠化土地。此外,退化土地已减少到4.87%,这导致了研究区域的荒漠化。当前的研究数据将为环境科学家和规划机构提供参考,他们可以在土地退化,荒漠化和节约土地资源方面利用最佳方法实现可持续发展和良好治理。

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