Volume No. 8 Issue No.: 3A Page No.: 811-815 Jan-Mar 2014

 

LAND USE / LAND COVER MAPPING USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM

 

Rane Gauri* and Joshi Bhushan

Department of Botany, Moolji Jaitha College, Jalgaon, Maharashtra (INDIA)

 

Received on : October 20, 2013

 

ABSTRACT

 

Forest can be considered as one of the ecosystem having biological diversity as it supports the life. Forest plays an important role for maintenance and enhancement of environmental quality, social security of livelihood and economic development. The forest area has been found to be reduced from last few decades and there is need to monitor these forest areas. The temperature of the Jalgaon district is however, increased and rainfall is reduced which indicates that deforestation can be one of the associated causes for it. Forest land is decreasing continuously due to encroachment by the tribal for the agricultural practices. Remote sensing when coupled with Geographical Information System proved to be an important tool for decision making and deriving the meaningful outputs for natural resources conservation and management. Land cover data presents the physical coverage of the earth’s surface while Land use data presents its socioeconomic functionality. For the present study IRS P6, LISS-III data of November 2011 is used for mapping and monitoring the plant resources. On screen visual interpretation method was used for mapping the Land use/land cover of the entire study area with the regular ground checks through the process of digitization using on screen digitizer available in ArcGIS software. The digital maps were then transferred into ArcGIS and edited using Arc tool box command. These edited maps were used further for the analysis. Study area makes up most of land use and land cover classes like agriculture, forest, barren land, agriculture within the forest and water bodies. Though, Jalgaon is developing rapidly but still agriculture retains the major land use class comprising about 65.81% of the total geographic area followed by barren land (21.05%), forest covers (8.44%), waterbody (2.75%), built-up area (1.5%) and agriculture within the forest (0.55%) respectively. The class agriculture within the forest reveals that there is decrease in the forest areas and it proves the problem of the elicit tree cutting in the forest areas.

 

Keywords : Natural resource mapping, Biological resources, Climate change, Remote sensing, Geographic Information System, Land use, Land cover

 

 

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