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Land Use Land Cover Classification Using Arc-Gis And Erdas Tool - A Review

Authors: Gargi Bindal, Ashish Anand, Pranav Kumar, Azeem; Nitin Mishra & Praveen Kalura;

Land Use Land Cover Classification Using Arc-Gis And Erdas Tool - A Review

Abstract

In India rapidly growing urban population has become cause of worry among the country ‘s urban and town planners for organized urban planning. The substantially growing urban areas have led to sharp land use land cover changes. With the remote sensing technology Land-Cover/Land-use, concept is taken as a decisive item of necessary tasks in order to execute a series of significant works, such as predicting land-use change, preventing natural calamity, managing and planning of land use, protecting surroundings, etc. Accurate and dependable information over land use and land cover is required to detect changes and to moniter the required area. The geographical information related to any area can also be updated using this. a considerable amount of research has been conducted over the past years, regarding the application of different classifier and image fusion technique. In order to obtain reliable and latest information on the temporal, spatial and structural change in forest cover and to appreciate the connection between the current development and its likely impact on land cover/land use and environment of the required area, the variations in the attribution of total area into various specific land cover/ use classes have been studied.

Keywords

Land use, Land cover, Urban, GIS, Remote Sensing.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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