alexa
Reach Us +44-1522-440391
Land Use And Land Cover Change For Detection Of Ghatkesar Mandal, Ranga Reddy District Using Remote Sensing And GIS | 4448
ISSN: 2157-7625

Journal of Ecosystem & Ecography
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Land use and land cover change for detection of ghatkesar mandal, ranga reddy district using remote sensing and GIS

Biodiversity & Sustainable Energy Development-2012

Farid Khan

Posters: J Ecosyst Ecogr

DOI: 10.4172/2157-7625.S1.009

Abstract
Land use and land cover change has become a central component in current strategies for managing natural resources and monitoring environmental changes. Urban expansion has brought serious losses of agriculture land, vegetation land and water bodies. Urban sprawl is responsible for a variety of urban environmental issues like decreased air quality, increased runoff and subsequent flooding, increased local temperature, deterioration of water quality, etc. In this work we have taken Rangareddy District, Gatkesar mandal as case to study the urban expansion and land cover change that took place in a span of 05 years from 2006 to 2011. Remote sensing methodology is adopted to study the geographical land use changes occurred during the study period. Satellite Imagery- IRS1D, LISS-III+PAN FUSED of two different years are taken into consideration. After image pre- processing, un-supervised classification has been performed to classify the images in to different land use categories. Five land use classes have been identified as Urban (Built-up), Water body, Agricultural land, Grassland and Forest. Classification accuracy is also estimated using the field knowledge obtained from field surveys. Information on urban growth, land use and land cover change study is very useful to local government and urban planners for the betterment of future plans of sustainable development of the city. Suggestions were therefore made at the end of the work on ways to use the information as contained therein optimally
Biography
F Khan is pursuing M.Tech Environmental Management from JNTUH and this paper is part of dissertation entitled ?Land use land cover change detection of ghatkesar mandal, ranga reddy district using remote sensing and GIS? under the esteemed supervision of Dr.T.VijayaLakshmi, Asst. Prof., Centre for Environment, IST, JNTUH
Relevant Topics
Leave Your Message 24x7
Top