CA MARKOV MODELING OF LAND USE LAND COVER CHANGE PREDICTIONS AND EFFECT OF NUMERICAL ITERATIONS, IMAGE INTERVAL (TIME STEPS) ON PREDICTION RESULTS

8 citations as recorded by crossref.

1. Spatiotemporal Dynamics of Land Use Change in Narayanganj Sadar (2002-2023) and Forecasting for 2035 Using CA-Markov Modeling E. Hossain et al. https://doi.org/10.4236/jgis.2025.173008
2. Forecasting Wetland Transformation to Dust Source by Employing CA-Markov Model and Remote Sensing: A Case Study of Shadgan International Wetland V. Khanfari et al. https://doi.org/10.1007/s13157-024-01856-x
3. Urbanization under constraint: predicting land use futures in the geographically fragile city of Rize A. Meral https://doi.org/10.61112/jiens.1692029
4. Current and Potential Land Use/Land Cover (LULC) Scenarios in Dry Lands Using a CA-Markov Simulation Model and the Classification and Regression Tree (CART) Method: A Cloud-Based Google Earth Engine (GEE) Approach E. Abdelsamie et al. https://doi.org/10.3390/su162411130
5. Ecological Stability over the Period: Land-Use Land-Cover Change and Prediction for 2030 M. Tárníková & Z. Muchová https://doi.org/10.3390/land14071503
6. Impact assessment of green infrastructure and urban growth on stormwater runoff through geospatial modeling A. George et al. https://doi.org/10.3389/frwa.2024.1489315
7. Territorial dynamics of spatial growth in Kathmandu Valley, Nepal: understanding geographical notion of urban sustainability S. Shrestha et al. https://doi.org/10.1007/s10708-024-11019-4
8. "دور الأتمتة الخلوية في التنبؤ المكاني لتغيرات الغطاء الأرضي في منطقة العباسي باستخدام نموذج CA-Markov" س. جاسم محمد https://doi.org/10.25130/jtuh.32.7.2025.11