Change Detection Analysis of Land Use Land Cover; A Case Study of Peri-Urban Area of Eastern Pune, M.S., Western India.

被引:0
作者
Ganesh, Dhawale [1 ]
Manojkumar, Devne [1 ]
Vilas, Ugale [1 ]
Pritam, Ghosh [1 ]
Vicky, Shirole [1 ]
Pooja, Gosavi [1 ]
机构
[1] Sir Parashurambhau Coll, Pune, Maharashtra, India
关键词
Land use; Land cover; GIS & Remote sensing; Change detection;
D O I
10.9756/INTJECSE/V14I5.410
中图分类号
G76 [特殊教育];
学科分类号
040109 ;
摘要
Urban expansion has been creating an alarming situation in all countries of the world. High rates of migrant urban population has led to serious unplanned land use problems such as loss of agricultural land, unauthorized urban sprawl, high land values, pollution, poverty and social unrest making urban governance a difficult task to maintain healthy urban environment. In the emerging scenario it is essential to have up-to-date information in existing land use information system.In the recent times, remote sensing and geographical information systems (GIS) are very valuable and advantageous in providing contemporary land use information. The present study highlights significance of remote sensing in the study of land use /land cover ofurban land use changes for the time periods using LISS III satellite imageries from the BHUVAN portal. The satellite imageries of LISS III for two consecutive dates were merged to produce a single image. These merged images were further introduced to GIS environment and subjected to supervised classification for land use land cover analysis. The study area is a typical peri-urban region located towards the eastern extent of the Pune Metropolitan region in the state of Maharashtra. The result obtained from the land use / land cover analysis shows a significant decrease of agricultural area and an increase in built-up area from year 2009 to 2018. The spatial information from the remote sensing satellite plays a vital role in analysis of changing land use/land cover pattern. The study area was classified into eight categories on the basis of field study, geographical conditions, and remote sensing data.
引用
收藏
页码:3684 / 3693
页数:10
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