Authors : Nwugha V.N.; Ejiogu B.N.; Nwaka B. U.; Egbucha-Chinaka A.I.; Eke B.O; Emeghara K.C.; Emeronye U.R.; MBA D.O.; Chinyem F.I.

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/9mz9z2kb

DOI : https://doi.org/10.38124/ijisrt/25may2339

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The study of landforms is critical for understanding geomorphic processes and environmental changes. This research integrates GPS data and high-resolution satellite imagery to analyze and monitor landform dynamics in some parts of Southeastern Nigeria. Using advanced remote sensing techniques, precise Digital Elevation Models (DEMs) and conducted detailed topographic analyses to identify and classify landforms were generated. The GPS data provided accurate elevation and location information, which was essential for refining DEMs and enhancing the accuracy of landform mapping. Change detection analysis was employed to track temporal shifts in landforms, revealing significant changes in erosion patterns and landslide activities. Ground-Truthing efforts validated the accuracy of the remote sensing data, demonstrating a strong correlation between field observations and the results obtained from GPS and satellite data integration. The findings of this study offer new insights into the geomorphic processes shaping the study area and highlight the effectiveness of combining GPS and satellite imagery for landform analysis. These results have important implications for environmental management, hazard assessment, and future geomorphological research.

Keywords : Global Positioning System (Gps), Satellite Imagery, Digital Elevation Model, Landforms, Remote Sensing, Geomorphology, South Eastern Nigeria.

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