Work

Assessment of Spatio-Temporal Land Use and Land Cover Dynamics in Ogoniland, Rivers State, Nigeria

Year: 2026

Type: article

Abstract: Ogoniland, in Nigeria's Niger Delta, has experienced more than six decades of oil exploration, environmental pollution, and population pressure, yet its landscape change remains poorly quantified at the local scale. This study examined the spatio-temporal dynamics of land use and land cover (LULC) in Ogoniland between 1990 and 2025 using multi-temporal Landsat imagery acquired at five-year intervals. Images were classified into six classes (built-up, cropland, grassland, forest, mangrove, and water body) using the Random Forest algorithm, and vegetation condition was assessed with the Normalized Difference Vegetation Index (NDVI) in Google Earth Engine. Overall classification accuracy ranged from 84.2% to 88.6%, with Kappa coefficients of 0.825–0.868.

Source: International Journal of Innovative Science and Research Technology (IJISRT)

DOI: 10.38124/ijisrt/26oct1055

Authors: Ntor Charles, Dorka Nwidag Daniel, Odiji Caleb, Clifford-Osawaru Wisdom Osamudiamen, Ubido Benjamin

Institutions: Federal University of Environment and Technology, National Space Research and Development Agency, Rivers State University

Language: English

Topic: Remote Sensing and Land Use

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Life on land

Open Access status: diamond

OpenAlex ID: W7224999676