Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques
University of the Punjab · King Saud University · +3 more institutions
Abstract
This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is crucial for mitigating adverse environmental impacts and promoting sustainable development. The main goal is to evaluate historical LULC changes from 1994 to 2024 and forecast future trends for 2034 and 2044 utilizing the CA-Markov hybrid model combined with GIS methodologies. Landsat images from various sensors (TM, OLI) were employed for supervised classification, attaining high accuracy (> 90%). Historical LULC changes from 1994 to 2024 were analyzed, revealing significant…
Citation impact
- FWCI
- 88.00
- Percentile
- 100%
- References
- 64
Authors
7Topics & keywords
- Land cover
- Cover (algebra)
- Land use
- Land management
- Computer science
- Environmental science
- Remote sensing
- Environmental resource management