Modelling urban future: integrating CA-ANN model for comprehensive understanding of land use, land cover changes, and temperature dynamics in Lucknow City, India
Rapid urbanization and associated land use/land cover (LULC) changes significantly affect urban environments, intensifying urban heat islands (UHIs) and environmental challenges. This study presents a spatiotemporal analysis of LULC and land surface temperature (LST) changes in Lucknow City, India,...
Saved in:
| Main Authors: | Danish Khan, Nizamuddin Khan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-06-01
|
| Series: | Geology, Ecology, and Landscapes |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24749508.2025.2524207 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Historical Land Cover Dynamics and Projected Changes in the High Andean Zone of the Locumba Basin: A Predictive Approach Using Remote Sensing and Artificial Neural Network—Cellular Automata Model
by: German Huayna, et al.
Published: (2025-07-01) -
Predicting land use land cover changes and impact on urban wetlands using cellular automata and artificial neural networks approach, a case study in Greater Accra, Ghana
by: Michael Kofi Mborah Amoah, et al.
Published: (2025-06-01) -
Predicting Land Use Land Cover Dynamics and Land Surface Temperature Changes Using CA-Markov-Chain Models in Islamabad, Pakistan (1992–2042)
by: Muhammad Farhan, et al.
Published: (2024-01-01) -
Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh
by: Rini Fitri*, et al.
Published: (2022-12-01) -
An adaptive transition probability matrix with quality seeds for cellular automata models
by: Youcheng Song, et al.
Published: (2024-12-01)