
DISTRICT-WISE CHANGE ANALYSIS OF LAND USE-LAND COVER IN DELHI TERRITORY USING REMOTE SENSING & GIS
Author(s) -
Surya Prakash Pattanayak,
Sumant Kumar Diwakar
Publication year - 2017
Publication title -
journal of urban and environmental engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.187
H-Index - 13
ISSN - 1982-3932
DOI - 10.4090/juee.2016.v10n2.201213
Subject(s) - urban sprawl , land cover , deforestation (computer science) , land use , geography , agricultural land , geographic information system , remote sensing , fragmentation (computing) , agriculture , land use, land use change and forestry , environmental science , physical geography , ecology , computer science , archaeology , biology , programming language
Digital change detection is the process that helps in determining the changes associated with Land use and Land cover properties with reference to geo-referenced multi-temporal remote sensing data. It helps in identifying change between two or more dates that is uncharacterized of normal variation. This work is an attempt to assess the district-wise changes in land use/land cover in Delhi, India. The study made use of LISS -III imageries of 2008 and 2012 year. The images were classified using Maximum Likelihood classification method. The output can be useful in many applications such as Land use changes, habitat fragmentation, rate of deforestation, urban sprawl and other cumulative changes through spatial and temporal analysis. The study shows that Delhi land cover from 2008 to 2012 a major rapid changes in the landscape as there is high growth in the fallow and built up area. Agriculture land and forest area has reduced marginally and water body is showing almost stagnant condition over time.