Spatio-temporal change analysis and prediction of land use and land cover changes using CA-ANN model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-11848-9.pdf
Reference74 articles.
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2. Abutaleb, K., Mudede, M. F., Nkongolo, N., & Newete, S. W. (2021). Estimating urban greenness index using remote sensing data: A case study of an affluent vs poor suburbs in the city of Johannesburg, The Egyptian Journal of Remote Sensing and Space Science, 24(3), Part 1, 343–351. https://doi.org/10.1016/j.ejrs.2020.07.002
3. Adeola, F. O., Gbenga, A. E., Oludapo, O. A., & Oluseyi, O. R. (2020). Land use/land cover change and land surface temperature of Ibadan and environs, Nigeria. Environmental Monitoring and Assessment, 192, 1–18. https://doi.org/10.1007/s10661-019-8054-3
4. Agrawal, C., Green, G., Grove, J., Evans, T., & Schweik, C. (2002). A review and assessment of land-use change models: Dynamics of space, time, and human choice. Gen. Tech. Rep. NE-297. Newton Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station. 61 p. https://doi.org/10.2737/NE-GTR-297
5. Alam, N., Saha, S., Gupta, S., & Chakraborty, S. (2021). Prediction modeling of riverine landscape dynamics in the context of sustainable management of floodplain: A Geospatial approach. Annals of GIS. https://doi.org/10.1080/19475683.2020.1870558
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