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Multi Temporal Mapping and Severity Classification of Soil Erosion in Imo State Nigeria Using RUSLE and Cloud Based Geospatial Modelling

This study utilizes the Google Earth Engine platform to implement the RUSLE model with multi-temporal data, revealing that topography and changing land cover are the primary drivers of significant soil erosion in Imo State, Nigeria, with Oguta and Ohaji/Egbema identified as critical hotspots requiring targeted conservation planning.

Original authors: Okoli Emeka Austin¹, Jeremiah Toluwani Oladipupo, Omoko Ejiro Newton, Echerobia Christopher, Chinyere Pauline Alozie, Ohaeri Evangelina, Nneji Lucky Chigozie, Godswill Chibuzo Omenazu

Published 2026-09-22
📖 1 min read☕ Coffee break read

Original authors: Okoli Emeka Austin¹, Jeremiah Toluwani Oladipupo, Omoko Ejiro Newton, Echerobia Christopher, Chinyere Pauline Alozie, Ohaeri Evangelina, Nneji Lucky Chigozie, Godswill Chibuzo Omenazu

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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