ICCK

Herbert Tata

Department of Surveying and Geoinformatics, Federal University of technology Akure, 340252, Nigeria

Section 01

Academic Profile

No academic profile information available at the moment.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Open Access | Research Article | 28 August 2026
Integration of Gis and Multi-Criteria Evaluation for Land Suitability Assessment of Arable Crops in Ondo State, Nigeria
Journal of Geoscience and Earth Observation | Volume 1, Issue 2: 113-136, 2026 | DOI: 10.62762/JGEO.2026.947858
Abstract
Agriculture plays a vital role in Nigeria’s food security and economy, yet crop productivity depends heavily on land suitability. This study assessed the suitability of land for arable crops in Ondo State using Geographic Information System (GIS) and Multi-Criteria Evaluation (MCE) techniques. Nineteen (19) parameters, including soil, hydrogeomorphological, climatic, land-use/land-cover, and socioeconomic factors, were integrated. Datasets were obtained from sources such as Sentinel-2 Dynamic World, SRTM DEM, MODIS temperature, CHRS rainfall, ISRIC soils, and OpenStreetMap. The criteria were normalised, reclassified, and weighted using the Analytic Hierarchy Process (AHP). Weighted overlay... More >

Graphical Abstract
Integration of Gis and Multi-Criteria Evaluation for Land Suitability Assessment of Arable Crops in Ondo State, Nigeria
Open Access | Research Article | 20 August 2026
Assessing The Impact of Sea Encroachment in Ilaje, Ondo State, Using Optical Satellite Imagery Analysis and Shuttle Radar Topography Mission
Journal of Geoscience and Earth Observation | Volume 1, Issue 2: 101-112, 2026 | DOI: 10.62762/JGEO.2026.327931
Abstract
This study assessed the impacts of sea encroachment in Ilaje Local Government Area of Ondo State, Nigeria, using multi-temporal optical satellite imagery and the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM). This study analyzed past and recent shoreline change trends, simulated elevation-based vulnerability to flooding, and predicted the potential effects of sea-level rise. Landsat images from 1995, 2000, 2005, 2010, 2015, 2020, and 2025 were analyzed to identify the shoreline, and shoreline changes were calculated using the End Point Rate (EPR) and Linear Regression Rate (LRR) in the Digital Shoreline Analysis System (DSAS). Elevation-based vulnerability maps were m... More >

Graphical Abstract
Assessing The Impact of Sea Encroachment in Ilaje, Ondo State, Using Optical Satellite Imagery Analysis and Shuttle Radar Topography Mission