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Assessment of Land Degradation in Apo District of Abuja Municipal Area Council
Federal Capital Territory, Nigeria
(12964) |
| Friday Ojonugwa Omada (China, PR), Taiye Olubunmi Adewuyi (Nigeria) and Ahmed Wasiu Akande (China, PR) |
Mr Friday Ojonugwa Omada
Student
Beijing University of aeronautics and astronautics
Hangzhou
China, PR
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| Corresponding author Mr Friday Ojonugwa Omada (email: omada.friday[at]gmail.com, tel.: +86 18458896457) |
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| [ abstract ] [ paper ] [ handouts ] |
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Published on the web 2025-03-16
Received 2024-12-02 / Accepted n/a |
| This paper is one of selection of papers published for the FIG Working Week 2025 in Brisbane, Australia PEER REVIEW in Brisbane, Australia and has undergone the FIG Peer Review Process. |
FIG Working Week 2025 in Brisbane, Australia PEER REVIEW
ISBN n/a ISSN 2307-4086
URL n/a
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Abstract |
| Deforestation and other forms of land degradation are growing environmental problems with enormous consequences for global agriculture, bio diversity and ecosystem support. Documentation and evaluation of land degradation is important for the formulation of the right measures of land management and the prevention of further loss of about the land resource. The following offers a critical evaluation of global land degradation using a multiple index assessment based on four indicators which include, Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Fraction Index (NDFI) and the COMPOSITE index.
NDVI is a measure vegetation health by comparing near-infrared radiation which is strongly reflected by vegetation health and red radiation which is absorbed by chlorophyll. Vegetation cover and productive potential vegetation can therefore be quantified based on this measure. However, NDWI measures moisture content in vegetation and soil using the difference between near infrared and short wave infrared reflectance making it more sensitive to water stress and drought conditions. To a certain extent, NDFI expands the discussion compared to NDVI by looking at the variations in surface fractions including soil, vegetation and other non-vegetative cover, which in field deserts could imply particular compositional and structural modification in land cover.
The indices explained above are compiled to the Composite Index (COMPOSITE) to afford a comprehensive view of land degradation. The inclusion of vegetation health, moisture content and the surface texture of the land provides a better way of detecting the degradation patterns better than when using the NDVI index alone hence the incorporation of the COMPOSITE index.
Remotely sensed images from more than one temporal datasets are required in order to monitor change detection in the land cover, vegetation health and wetness level. From the study, people get to know some of the area factors that bring about land degradation and some of these factors may be time bound. Decreasing trends in NDVI and NDWI signify deteriorating vegetation conditions and water deficit conditions as well, whereas changes in NDFI identify alterations in the landscape due to natural environmental degradation like deforestation, grazing and or vegetation succession, and land conversion to urban use respectively.
Conclusion
Land degradation is driven by deforestation, unsustainable farming, overgrazing, erosion, and pollution, leading to declining soil fertility and vegetation loss. This persistent issue affects both the environment and local communities, reducing crop yields and deepening poverty. Recommendations
To combat degradation, sustainable practices such as crop rotation, agroforestry, and conservation tillage can restore soil health. Reforestation, afforestation, and soil conservation techniques like terracing can improve land quality and biodiversity. Community involvement is key, with education and capacity-building empowering local populations. Regular monitoring and evaluation will ensure the effectiveness of interventions, and supportive policies are needed to incentivize sustainable land use.
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| Keywords: Remote sensing; Land management; Land readjustment; Access to land; Land Degradation. |
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