Combined remote sensing and multi-criteria analysis of wetland soil potential for rice production: case study of Ogun river basin, Nigeria

ABSTRACT

This study aimed to assess the potential for rice productivity in the wetland soil of Nigeria’s Ogun River basin. TOPSIS’ multi-criteria analysis process, Ca-Markov model, with NDVI, NDWI, and land surface temperature from remote sensing data analyses were used to derive an efficacious wetland soil potential model for rice production. The potential for rice cultivation in the area varied from highly suitable (6.6%), to moderately suitable (50.1%) areas, and from marginally suitable areas (26.0%) to areas that are currently unsuitable (17.3%). The major barriers to rice soil suitability were topography, temperature, low fertility, and erosion hazards.

     

KEYWORDS:

• Wetland soils
• Ogun river basin
• rice cultivation
• remote sensing
• Multi-criteria decision analysis
• TOPSIS
• cellular automata – markov

Acknowledgments

The authors are sincerely grateful to the United States Geological Survey (USGS) for assisting with Landsat imageries and to the authority of the Ogun River basin, Nigeria. The works of previous authors in this important research context and the invaluable contribution, insights and resourcefulness of the editor and reviewers of this manuscript are vital to the completion of this research.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Notes on contributors

Anthony O. Tobore

Anthony TOBORE is a trained pedologist with a first degree in Soil Science, and two M. Sc degrees in (1) Pedology, and (2) Cartography and Geoinformation Science. He is currently awaiting his Ph.D. defense in the field of pedology. He is a lecturer in the department of Soil Science and Land Management, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.

Ugonna C. Nkwunonwo

Ugonna NKWUNONWO has a Ph.D. in Earth and Environmental Sciences, which focused on addressing the challenges of flood risk assessment in data-poor urban catchments. He also has an M. Sc in Remote Sensing and Geographic Information System (GIS), after obtaining a first degree in Geoinformatics and Surveying. His research focuses on numerical and stochastic modeling of flood risk, vulnerability assessment, earth system sciences, and GIS-based digital soil maps and soil databases of Nigeria. He is currently lecturing at the department of Geoinformatics and Surveying, University of Nigeria.

Bolarinwa Senjobi

Bolarinwa SENJOBI is a full Professor of Pedology/Soil Survey and Land Use at the Federal University of Agriculture, Abeokuta, Ogun State, Nigeria, where he is currently serving as the Head of the Department of Soil Science and Land Management. He holds M. Sc and Ph.D. degrees in Agronomy (Soil Science option). His research is in the areas of Soil Survey and Land Use Planning, Sustainable Agriculture, and Earth System Sciences.