District-Wise Change Analysis of Land Use/Land Cover in Delhi Territory Using Remote Sensing & GIS

Digital change detection is the process that helps in determining the changes associated with land use (LU) and land cover (LC) properties with reference to geo-referenced multi-temporal remote sensing data. It helps in identifying change between two or more dates that is uncharacterised of normal variation. This work is an attempt to assess the district-wise changes in LU/LC in Delhi, India. The study made use of Linear Imaging Self Scanning Sensor-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 LU changes, habitat fragmentation, rate of deforestation, urban sprawl and other cumulative changes through spatial and temporal analysis. The study shows that a major rapid changes in the landscape, high growth in the fallow and built-up area from 2008 to 2012. Agriculture land and forest area have reduced marginally and water body is showing almost stagnant condition over time.