Skip to content
Research Article Open access CC BY 4.0

Integrating Remote Sensing and GIS for Land Use Land Cover Detection and Terrain Evaluation in Churachandpur District, Manipur, India

T.L. Haokip, P. Lienzapau Gangte, T.K. Prasad, Khaiminlun Haokip, Md. Baharuddin Shah

Asian Journal of Geographical Research · pp. 285–304 · Published 16 Jul 2025

10.9734/ajgr/2025/v8i3293

Abstract

The Physical environment and land use and land cover (LULC) dynamics of Churachandpur district, Manipur are investigated analytically using Geographic Information System [GIS] methods and high-resolution remote sensing (RS) data. The diverse terrain and changing land use practices of the recently demarcated district necessitate a thorough and accurate examination of the physical data for sustainable development. Anthropogenic impacts, topographical influences and land use trends were discovered through the analysis of spatial datasets, offering vital information for environmental management and regional planning. The study produced detailed maps of physical features using RS and GIS methodologies. Sentinel-2A multispectral imagery (10 m resolution), LANDSAT 8 satellite imagery, terrain-corrected SRTM (30 m resolution) and other data sources, along with structural characteristics like curvature, slope, elevation and rainfall distribution.

Physical setting land use land cover spatial datasets thematic layers planning

References (17)

  1. 1 Why landscapes of the past are important for the future [DOI]
  2. 2 Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India [DOI]
  3. 3 Remote sensing technology for mapping and monitoring land-cover and land-use change [DOI]
  4. 4 Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing [DOI]
  5. 5 Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh [DOI]
  6. 6 Natural and anthropogenic climate change: incorporating historical land cover change, vegetation dynamics and the global carbon cycle [DOI]
  7. 7 Northeast monsoon over India: variability and prediction [DOI]
  8. 8 Temperature and precipitation changes in the north-east India and their future projections [DOI]
  9. 9 Land-Use and Land-Cover Change Detection in a North-Eastern Wetland Ecosystem of Bangladesh Using Remote Sensing and GIS Techniques [DOI]
  10. 10 Dynamics of land use and land cover change in peri urban area of Burdwan city, India: a remote sensing and GIS based approach [DOI]
  11. 11 Globally Extended Kӧppen–Geiger climate classification and temporal shifts in terrestrial climatic types [DOI]
  12. 12 Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS [DOI]
  13. 13 Location and neighbourhood conditions for housing choice and its rental value [DOI]
  14. 14 Land-use/cover change in Coimbatore urban area (Tamil Nadu, India)—a remote sensing and GIS-based study [DOI]
  15. 15 Influence of conservation tillage on soil physicochemical properties in a tropical rainfed agricultural system of northeast India [DOI]
  16. 16 Application of Remote Sensing and GIS Techniques for Landslide Hazard Zonation in Tamenglong District of Manipur, North East India [DOI]
  17. 17 Soil Property Variations Under Different Land Use/ Cover Types In Traditional Agricultural Landscape In Northeast India [DOI]

Cited by 4

Transformation of Tribal Life from Hills to Town in Lamka, India

P. Lienzapau Gangte, Md. Baharuddin Shah, T. Haokip · British Journal of Contemporary Research · 2026

Quantitative Analysis of Urban Expansion and Spatial Entropy in Lamka Town, India

T. Haokip, T. Prasad, J. G. · American Journal of Remote Sensing · 2026

Showing 3 of 4 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

27

Page views

0

PDF downloads

4

Outbound clicks

4

Citations

Views over time

Views by country

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

Traffic sources

Referring site, by host.

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.