Skip to content
Research Article Open access CC BY 4.0

Land Use Land Cover Change Detection & Urban Sprawl Study: A Case Study on Shimla Tehsil, Himachal Pradesh, India

C. Prakasam, R. Aravinth, Varindar S. Kanwar

Journal of Geography, Environment and Earth Science International · pp. 1–13 · Published 19 Jun 2018

10.9734/JGEESI/2018/42185

Abstract

Land is the most important natural resource containing soil, water, flora & fauna involving total ecosystem. Mapping of Land use and Land cover change is essential for a wide range of applications such as landslide and erosion control, land planning etc. In this research land use change and urban sprawl has been studied for period of 37 years (1980-2017) using remote sensing and GIS techniques in Shimla Tehsil, Himachal Pradesh. The images are layer stacked and supervised classification technique is adopted to the LANDSAT images between 1980 to 2017. Image classification is carried out using Level 1 NRSC Land use classification system. The acquired output is reclassified and change detection was obtained for every consecutive images and overall changes were acquired by comparing 1980 and 2017 satellite imageries. Accuracy assessment was carried out for the year 2017. 100 random reference points were generated from the classified image of 2017 and cross-correlation has been carried out against the unsupervised classification of the same temporal data. Overall classification accuracy of the image is 92% with kappa statistics of 0.87. Change detection was carried out between the year 1980 and 2017. The results obtained indicates a greater change in the growth and declination of forest cover in the study area. Forest cover reduced from 81.58% in 1980 to 60.77% in 2017. Same way Built-up land has increased from 3.59% to nearly 13.64% in the year 2017. Agriculture practice has also increased from 1.91% to 16.51% in the year 2017. Slope area that represents the barren land in the study area is reduced from 12.9% to 9.09% in 2017.

Land use land cover supervised classification digital image processing change detection

Cited by 10

Utilizing Aerial Photography to Trace the Development of Urbanization in the Chennai District

K. Hemalatha, R. Kamali, R. Pushpalatha · International Research Journal on Advanced Engineering Hub (IRJAEH) · 2024

Environmental Impact of Land Use and Land Cover Change in Rampal, Bangladesh: A Google Earth Engine-Based Remote Sensing Approach

Md. Tanvir Miah, M. Sultana · 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) · 2022

Path Towards Sustainable Water Management: A Case Study of Shimla, India

Kamakshi Thapa, Chetna Singh, Sameer M. Deshkar · Disaster and Risk Research: GADRI Book Series · 2021

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

10

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.