DIGITAL SOIL MAPPING FOR SOIL DEGRADATION ASSESSMENT AND SUSTAINABLE LAND MANAGEMENT IN KWARA STATE, NIGERIA

Soil degradation poses a significant threat to agricultural productivity and environmental sustainability in Kwara State, Nigeria. Traditional soil surveys with coarse-resolution analogue maps inadequately capture the spatial variability necessary for effective assessment and management. This study develops a Digital Soil Mapping (DSM) framework integrating Geographic Information Systems (GIS) and remote sensing to produce high-resolution, spatially explicit soil property maps and identify degradation hotspots. Spatial and non-spatial data, including satellite imagery and field soil samples, were collected, processed, and analyzed using geospatial and statistical techniques. The results reveal substantial heterogeneity in soil texture, pH, and nutrient content, with pronounced degradation linked to erosion and nutrient depletion in intensively farmed areas. DSM demonstrated superior capability over traditional methods by accurately delineating vulnerable landscapes and informing targeted soil conservation strategies. The study highlights challenges, including data availability and technical capacity, recommending enhanced data integration, capacity building, and stakeholder engagement for sustainable land management.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-17
DOI
https://doi.org/10.5281/zenodo.17375407
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIGITAL SOIL MAPPING FOR SOIL DEGRADATION ASSESSMENT AND SUSTAINABLE LAND MANAGEMENT IN KWARA STATE, NIGERIA

Zenodo (CERN European Organization for Nuclear Research)
Soil and Land Suitability Analysis
article

DIGITAL SOIL MAPPING FOR SOIL DEGRADATION ASSESSMENT AND SUSTAINABLE LAND MANAGEMENT IN KWARA STATE, NIGERIA

article en

Abstract

Soil degradation poses a significant threat to agricultural productivity and environmental sustainability in Kwara State, Nigeria. Traditional soil surveys with coarse-resolution analogue maps inadequately capture the spatial variability necessary for effective assessment and management. This study develops a Digital Soil Mapping (DSM) framework integrating Geographic Information Systems (GIS) and remote sensing to produce high-resolution, spatially explicit soil property maps and identify degradation hotspots. Spatial and non-spatial data, including satellite imagery and field soil samples, were collected, processed, and analyzed using geospatial and statistical techniques. The results reveal substantial heterogeneity in soil texture, pH, and nutrient content, with pronounced degradation linked to erosion and nutrient depletion in intensively farmed areas. DSM demonstrated superior capability over traditional methods by accurately delineating vulnerable landscapes and informing targeted soil conservation strategies. The study highlights challenges, including data availability and technical capacity, recommending enhanced data integration, capacity building, and stakeholder engagement for sustainable land management.

Zenodo (CERN European Organization for Nuclear Research)
University of Ilorin (NG)
Zero hunger
Openalex Percentile: Top 37%
Soil and Land Suitability Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DIGITAL SOIL MAPPING FOR SOIL DEGRADATION ASSESSMENT AND SUSTAINABLE LAND MANAGEMENT IN KWARA STATE, NIGERIA · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS