Research/Technical Note
Land Use Land Cover Change Detection Analysis Using GIS and Remote Sensing Techinques: In Case of Guto Wayu Woreda, Weastern Ethiopia
Tariku Tamiru*
Issue:
Volume 13, Issue 1, June 2025
Pages:
1-12
Received:
27 February 2025
Accepted:
17 March 2025
Published:
10 April 2025
Abstract: This project examines the use of GIS and RS in mapping land use land cover change in Guto Wayu woreda between 2010 and 2020 so as to detect and analyze the change that has taken in the area between these periods. In order to achieve the Satellite of landsat have been obtained and preprocessing using EARDAS IMAGINE. The maximum likelhood algorism of supervised Image classification has been used to generate land use land cover maps and change detection. Aggregate rate of changes of Land use and land cover of Guto Wayu woreda resulted that considerable change has occurred within ten (10) years from 2010 to 2020) that is only forest and water body has decreased in (-8.6%) and(-0.01%) respectively, while the rest classes namely built up area in +2.05%, bare land (+4.8%) and Agricultural land (+5.8%) has increased Expansion of built up area and decreased public awareness for the forest / Plant vegetation.
Abstract: This project examines the use of GIS and RS in mapping land use land cover change in Guto Wayu woreda between 2010 and 2020 so as to detect and analyze the change that has taken in the area between these periods. In order to achieve the Satellite of landsat have been obtained and preprocessing using EARDAS IMAGINE. The maximum likelhood algorism of...
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Research Article
Assessing Nature-Based Flood Mitigation Measures at the General Area of the Confluence of Rivers Benue and Niger in Kogi State, Nigeria
Issue:
Volume 13, Issue 1, June 2025
Pages:
13-31
Received:
13 April 2025
Accepted:
23 April 2025
Published:
26 May 2025
DOI:
10.11648/j.ajrs.20251301.12
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Abstract: Flooding in the confluence area of Rivers Benue and Niger remains a major environ-mental and socio-economic challenge which disrupts livelihoods, damages infrastructures and increase vulnerabilities in affected communities. The existing flood management in Nigeria relies on conventional engineering solutions, with limited to no consideration of Nature-Based Solutions (NBS). While NBS have been explored in other regions, their applicability to this area remains under-researched. This study assessed the potential of Nature-Based Solutions (NBS) for mitigating flood risks in this region through the integration of Geographic Information Systems (GIS), Remote Sensing (RS), and hydrological modeling. Landsat imagery (2012-2023), Digital Elevation Models (DEM), soil, and climate datasets were utilized alongside HEC-HMS and HEC-RAS models, and Google Earth Engine (GEE) for flood extent analysis. Results showed peak flood coverage in 2018 (172.68 km²), followed by a decline to 99.12 km² in 2023. Flooding trends were attributed to increased rainfall variability, land-use changes, and inadequate drainage infrastructure. A suitability analysis for NBS implementation identified areas appropriate for wetland restoration, afforestation, and sustainable drainage systems. The study highlights the potential of integrated NBS and engineered measures in enhancing long-term flood resilience.
Abstract: Flooding in the confluence area of Rivers Benue and Niger remains a major environ-mental and socio-economic challenge which disrupts livelihoods, damages infrastructures and increase vulnerabilities in affected communities. The existing flood management in Nigeria relies on conventional engineering solutions, with limited to no consideration of Nat...
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Research Article
Application of the Categorical Change Detection Technique in Investigating the Trends of Urbanization in Wales, Southwest Britain
Egereonu Jerry Chinwendu,
Agoha Chidiebere Charles*,
Nwokeabia Charity Nkiru,
Eluwa Ndidiamaka Nchedo,
Njoku Joy Obiageli,
Offodile Olisaemeka Paschal,
Chilakpu Onyinyechi Caroline,
Ahaji Victor Kelechi
Issue:
Volume 13, Issue 1, June 2025
Pages:
32-47
Received:
16 February 2025
Accepted:
8 March 2025
Published:
29 May 2025
DOI:
10.11648/j.ajrs.20251301.13
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Abstract: This study, employing remote sensing and Geographic Information System (GIS) techniques, was carried out using the categorical change detection technique to analyze land use and land cover (LULC) dynamics in Wales, United Kingdom, from the year 1992 to 2019 with a view to understanding the trend of urbanization in the area. Using data from the Global Land Cover 1992 to 2019 image service accessible via ArcGIS Pro 3.0 Living Atlas, with a spatial resolution of 300 meters, the study revealed that grassland, being the predominant land cover in the area, decreased in coverage from 73.98% in 1992 to 72.16% in 2019, cropland decreased from 17.91% to 17.48%, all categories of forest increased from 5.30% to 5.93%, water bodies decreased from 1% to 0.7%, while bare areas remained constant at 0.2% in both years. Results also revealed a significant expansion of urban areas, growing from 1.81% to 3.48% of the land area. The mean percentage change across all counties is approximately 97.29%, indicating substantial urban expansion, while the median percentage change is 68.88%. Counties in South Wales experienced substantial urbanization influenced by coastal proximity, while Western and Northern regions showed significant percentage changes in urban areas but had smaller land area expansions. This research provides insights into the evolving landscape of Wales vital for understanding trends in land use, environmental changes, and urban expansion over this period and contributes valuable insights for sustainable urban planning, environmental preservation, and possible ecological impacts within the study area.
Abstract: This study, employing remote sensing and Geographic Information System (GIS) techniques, was carried out using the categorical change detection technique to analyze land use and land cover (LULC) dynamics in Wales, United Kingdom, from the year 1992 to 2019 with a view to understanding the trend of urbanization in the area. Using data from the Glob...
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