Land Use/Cover Mapping of Nagpur Region (MS).

Arjun Doke

Abstract


Abstract:

The land use/cover pattern of a region is consequence of natural and socio-economic factors and their application by human being in time and space. Land is used for crops, forests, mining, transport, housing, entertaining, manufacturing and cost-effective. The unused lands are unproductive waste and i.e. barren and fallow (temporary and permanent) land. To record the land use/cover information from surveying and data collection is not always possible in view of time and cost involved in data collection. Vegetation plays a key role in reducing ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. In recent years vegetation mapping has become increasingly important, especially with advancements in environmental economic valuation. The spatial information from the remote sensing satellites enables researchers to quantify and qualify the amount and health of vegetation. The present study highlights significance of remote sensing in the vegetation mapping of Nagpur Region of Maharashtra using satellite imageries from Landsat TM. A supervised (full Gaussian) maximum likelihood classification was implemented in our approach. The final classification product provided identification and mapping of dominant land cover types as well as land use. Ground truth information was used to assess the accuracy of the classification. The land use/cover type map was prepared from the classified satellite image. The cropland cover highest area 28871.99 square kilometer in percent 56.24. Dense forest cover second large area 17923.51 square kilometer in percent 34.91. The application of remote sensing and satellites imageries with spatial analysis of land use land cover provides policy and decision makers with current and improved data for the purposes of effective management of natural resources.

Keywords: Land use, Land cover, Remote sensing, Image classification, Nagpur Region.


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ISSN : 2251-1563