Chandra Sekar Ganja (Assistant Professor)
Rajiv Gandhi University of Knowledge Technologies, India.
In remote sensing applications, a change is
considered to be an alteration in the surface components.
The concept of Change detection is applied in vital areas
likeUrban change, land scape and vegetation etc.Process of
identifying the differences in state of an object by observing
it at different intervals,it isalso useful in various other
dimensions such as land-use changes, habitat fragmentation
and rate of deforestation, coastal change etc..
AP CRDA is one of the capitals of Andhra
Pradesh. It is witnessing rapid expansion which is a result
of urbanization. AP CRDA is one of the fastest developing
cities in Andhra Pradesh due to the construction of the
capital city of Andhra Pradesh. Therefore, it is primarily
important to analyse the nature and magnitude of these
changes to complete our study i.e change detection. To
analyse that, we collected remote sensed data from Landsat
which were utilized for land use and land cover change
detection in AP CRDA. The unsupervised classification of a
change detection algorithm was used to detect the change in
the study area using QGIS.