GIS-based analysis of urban expansion in Wolaita Sodo, South Ethiopia: implications for sustainable development

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: April 9, 2025

Language: Английский

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Land use and land cover change trends, drivers and its impacts on ecosystem services in burayu sub city, Ethiopia

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 24, 2025

Land use and land cover (LULC) change represents a critical environmental challenge that significantly impacts the Earth’s systems ecosystem services leads to degradation economic loss. The main objective of this study was investigate trend LULC change, drivers, its on in Burayu sub-city, Shager City, Ethiopia. used satellite images from four time periods, Landsat Series sensors’ 4, 5, 8, at 10-year intervals understand spatial temporal dynamics by using integration GIS RS techniques under supervised classification system. Respondent interviews, focus group discussions (FGDs), field observations were employed. In addition, address drivers changes area, multifaceted method followed observations. A modified benefit transfer evaluate service value (ESV) response change. revealed population growth, urbanization, agricultural expansion, infrastructure development driving composition area over past 30 years. Croplands have decreased 51.2% 30.3%, forest has dropped 32.9% 15%, grassland fallen 12.7% 6.1%. On other hand, settlement areas expanded 2.5% 46.9%, total natural capital $368.7million $227.0 million per year. Therefore, it is possible conclude significant declining values occurred area. local government should develop comprehensive plan, balance urban with preservation, strengthen law enforcement, increase public awareness minimize urbanization services.

Language: Английский

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Spatio-temporal assessment of land use/land cover changes in onitsha, anambra state, south-eastern, nigeria: a comparative study of 2017 and 2024.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

Land use and land cover in Onitsha, Anambra State, experienced substantial transformation between 2017 2024, driven by rapid urban expansion. Using Sentinel-2 satellite imagery ESRI Cover Explorer data, this study assessed spatial temporal changes across seven LULC categories: built-up area, trees, rangeland, cropland, water bodies, bare ground, flooded vegetation. Built-up increased from 35.17 km² (66.47%) to 41.67 (78.76%) recording a net gain of 12.29%. Tree declined sharply 4.43 (8.38%) 0.16 (0.31%), reflecting an 8.07% loss, while rangeland dropped 3.7%, ground 1.2%, vegetation 0.05%. Cropland showed marginal increase 0.62%, bodies remained largely stable with 0.11% gain. Change detection through post-classification comparison transition matrices confirmed that expansion occurred primarily at the expense vegetated undeveloped lands. Accuracy assessments produced overall classification accuracies exceeding 85%, validating reliability results. The environmental consequences shift include elevated surface temperatures, flood risk, biodiversity reduced air quality. These impacts are closely linked public health outcomes such as respiratory illnesses heat stress, particularly high-density zones. Recommendations integration tree planting green infrastructure into planning, enforcement zoning regulations, removal old dilapidated buildings for conversion ecological buffers. A participatory geospatial monitoring framework is also proposed, using open-access data mobile tools engage local communities tracking changes. This offers replicable methodology free, high-resolution datasets. results provide critical insights sustainable management policy supporting climate adaptation, protection, achievement Sustainable Development Goals 11, 13, 15. By combining analysis actionable strategies, contributes development resilient, livable, ecologically balanced cities Nigeria.

Language: Английский

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Modeling land use and land cover dynamics of Bale Mountains National Park using Google Earth Engine and cellular automata–artificial neural network (CA-ANN) model

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(4), P. e0320428 - e0320428

Published: April 30, 2025

This research aimed to assess the observed land use and cover (LULC) changes of Bale Mountains National Park (BMNP) from 1993 2023 its future projections for years (2033 2053). The study utilized multi-date Landsat imagery 1993, 2003, 2013, 2023, leveraging 5 TM, 7 ETM+, 8 OLI-TIRS sensors LULC classification. Standard image pre-processing techniques were applied, composite images created using yearly median values in Google Earth Engine (GEE). In addition satellite data, both physical socioeconomic variables used as input modeling. Random Forest (RF) classification algorithm was classification, while Cellular Automata Artificial Neural Networks (CA-ANN) model within Modules Land Use Change Simulations (MOLUSCE) plugin QGIS employed projection. analysis revealed significant BMNP, primarily due anthropogenic activities, with further anticipated between 2053.The results showed a notable increase woodland shrubs at expense grassland Erica forest. While increased by 87.18% 36.7%, areas forest lost about 25% 22% their area, respectively, during this period. also indicated that covered are expected 15.97% 15.57%, 2053. Conversely, occupied cultivated land, forest, grassland, herbaceous plants projected decrease 28.52%, 3.28%, 19.03%, 6.55%, respectively. Proximity roads urban combined rising temperatures altered precipitation patterns emerged critical factors influencing conversion BMNP. These findings underscore complex interplay environmental human activities shaping dynamics. Hence, promoting sustainable management practices among park administration local community well enhancing habitat protection efforts recommended. Additionally, integrating advanced remote sensing technologies ground truthing will be essential accurate assessments dynamics area biodiversity.

Language: Английский

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Evaluation of the Effects of Climate Change and Land Use on Snow Reserves and Ecosystem Services in the Karaj Watershed

Akhbār., Journal Year: 2025, Volume and Issue: 15(1), P. 66 - 82

Published: March 1, 2025

Language: Английский

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