Geomodeling soil quality using remote sensing and land use metrics in Abeokuta, Nigeria
Abstract Remote sensing techniques offer potent and accurate geospatial modeling of Soil quality (SQ) for sustainable food security and development. The study aims to model SQ and landscape changes in Federal University of Agriculture Abeokuta, Nigeria using Landsat images of 2014 and 2024. We appli...
Saved in:
Main Authors: | Tobore Anthony, Anoke Emmanuel |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
|
Series: | Discover Geoscience |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44288-025-00112-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Agricultural Drought Assessment using Remote Sensing Data (Case study: Tuyserkan County)
by: Maedeh Malmir, et al.
Published: (2025-09-01) -
Comparison and Estimation of Surface Albedo of Various Levels of Land use by SEBAL and METRIC Methods
by: Mehdi Asadi, et al.
Published: (2020-12-01) -
DIMD-DETR: DDQ-DETR With Improved Metric Space for End-to-End Object Detector on Remote Sensing Aircrafts
by: Huan Liu, et al.
Published: (2025-01-01) -
Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index
by: Roopini Sathiasai Kumar, et al.
Published: (2023-01-01) -
Wetland degradation monitoring using multi-temporal remote sensing data and watershed land degradation index
by: I. Ridwan, et al.
Published: (2024-01-01)