Urban growth assessment using machine learning algorithms, GIS techniques, and its impact on biodiversity: The case of Sululta sub-city, Central Oromia, Ethiopia-Reference-Cited by-同舟云学术

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Urban growth assessment using machine learning algorithms, GIS techniques, and its impact on biodiversity: The case of Sululta sub-city, Central Oromia, Ethiopia

Published:2024-08 Issue: Volume:23 Page:100151
ISSN:2590-2520
Container-title:City and Environment Interactions
language:en
Short-container-title:City and Environment Interactions

Author:

Tadesa Edosa Birhanu,Geleta Erena Mosissa,Nagasa Wolteji Bayisa,Tolossa Werati Guta,Dangia Nagasa Milkessa

Funder

Wollega University

Publisher

Elsevier BV

Reference55 articles.

1. Analysis of urban sprawl dynamics using geospatial technology in Ranchi city, Jharkhand;Ahmad;India J Environ Geog,2016

2. Environmental issues in central Africa;Abernethy;Annu Rev Environ Resour,2016

3. Comparison of land use land cover classifiers using different satellite imagery and machine learning techniques;Basheer;Remote Sens,2022

4. Land use land cover change detection of sululta town using GIS and remote sensing techniques sululta town, Ethiopia;Bekele;Inter J Sci Res and Engi Devel,2021

5. Modeling urban land use dynamics using Markov-chain and cellular automata in Gondar City, Northwest Ethiopia;Beyene;Chinese J Population, Resour Environ,2023

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1. Urban Development and Natural Coexistence:Evolution of Wildlife Migration Corridors in the Full-Cycle Construction of Xiong’An New Area;2024

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