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...Show More
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...Show More