Land Use Land Cover Dynamics in Indore District Using Remote Sensing and GIS

EasyChair Preprint 4694

Abstract

The city/district of Indore is located on the south edge of malwa plateau in the Madhya Pradesh state of India. The main objective of this study is to follow the change in the dynamics of land use and land cover in the Indore District from 1998 to 2019. The study was conducted using the multi-spectral satellite image. It is based on the pixel-based unsupervised classification of Landsat satellite images of the year 1998, 2009, and 2019 using ArcGIS pro. The unsupervised classification of an image using Arcgis pro gives the ability to support image classification without the requirement of the training sample which reduces processing time and cost, but it has low accuracy which can be reduced by reclassification methods supervised by visual comparison of classified images with their false- color composites(FCC) image in different spectral band combinations. The results obtained showed a negative overall variation of the types of occupation of the territory of our study area. Thus, over this period, the study showed an increase in the areas of the urban agglomerations, bare mountain, crop and/or grassland and water classes by 4.483% to 11.493%, 5.336% to 19.936%, 65.075% to 66.850%, 1.503% to 2.042% respectively, in addition, there is a decrease in the area of vegetation from 8.371% to 2.026% of the overall area. The Anthropogenic activities due to rapid urbanization and population growth contribute strongly to this situation.

Keyphrases: ArcGIS pro climate change, land use land cover dynamics Remote sensing, unsupervised classification Indore district Gis

@booklet{EasyChair:4694,
  author    = {Pranshu Tiwari and Shreya Shekhar and Ayush Jain},
  title     = {Land Use Land Cover Dynamics in Indore District Using Remote Sensing and GIS},
  howpublished = {EasyChair Preprint 4694},
  year      = {EasyChair, 2020}}