REMOTE SENSING APPLICATIONS IN FOREST AND WILDLIFE MANAGEMENT: A LEARNING RESOURCE FOR UNDERGRADUATE STUDENTS
DOI:
https://doi.org/10.33003/jaat.2025.1102.004Abstract
Mapping is a crucial step in managing forest and wildlife and agricultural resources. The philosophy which states that 'what cannot be mapped, cannot be measured; what cannot be measured, cannot be monitored; and what cannot be managed' underscores the importance of mapping in resource management. This paper aims to present a novel teaching and learning resource that integrates remote sensing to enhance the knowledge of 200-level agricultural sciences, forestry, and wildlife management students in Nigerian universities, in line with the National Universities Commission's (NUC) Core Curriculum Minimum Academic Standards (CCMAS). This paper methodologically introduces the principles of remote sensing, their applications in forestry and wildlife management, and their potential to address various societal problems. Developed through a structured framework of lecture notes, practical applications, case studies, and hands-on exercises, this resource provides students with the knowledge and skills necessary for sustainable forest management. In conclusion, this resource enables students to acquire the expertise needed for assessing ecosystem services, monitoring forest changes, and implementing sustainable forest management practices, thereby shaping the next generation of forestry and wildlife management professionals. After reading this article, learners and lecturers will be able to provide a definition of forest, understand Remote Sensing principles and applications in forestry, wildlife management and agricultural sciences.
References
Ascagorta, O., Pollicelli, M. D., Iaconis, F. R., Eder, E., Vázquez-Sano, M., and Delrieux, C. (2025). Large-Scale Coastal Marine Wildlife Monitoring with Aerial Imagery. Journal of Imaging, 11(4), 94. https://www.mdpi.com/2313-433X/11/4/94
Britannica, (2024). Electromagnetic spectrum. Retrieved on April 24, 2025 from https://www.britannica.com/science/electromagnetic-spectrum
Craft, T. B., Piersma, T., Hooijmeijer, J. C., Zhu, B. R., D'Souza, M., O'Reilly, E., ... and Howison, R. A. (2025). Remote sensing and GPS tracking reveal temporal shifts in habitat use in nonbreeding Black‐tailed Godwits. Journal of Applied Ecology, 62(1), 119-131. https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2664.14827
FAO - Food and Agriculture Organization, (2018). World’s Forests, the Natural Inquirer. Retrieved on April 24, 2025 from https://www.fao.org/3/i0105e/i0105e.pdf
FAO - Food and Agriculture Organization, (2020). Terms and Definitions. Retrieved on April 24, 2025 from https://www.fao.org/3/I8661EN/i8661en.pdf
FAO– Food and Agriculture Organization, (2018). World’s Forests, the Natural Inquirer. Retrieved on April 24, 2025 from https://www.fao.org/3/i0105e/i0105e.pdf
FAO – Food and Agriculture Organization, (2020). Terms and Definitions. Retrieved on April 24, 2025 from https://www.fao.org/3/I8661EN/i8661en.pdf
GISGeography, (2022). Passive vs Active Sensors in Remote Sensing. Retrieved on April 24, 2025 from Example of Passive remote sensing: https://gisgeography.com/passive-active-sensors-remote-sensing/
Hearn, G. J. (2011). B2 Desk studies. Geological Society, London, Engineering Geology Special Publications, 24(1), 71-101. https://www.lyellcollection.org/doi/full/10.1144/egsp24.6#
Janssen, L.L.F., and Huurneman, G.C. (2001). Principles of Remote Sensing, Faculty ITC, University of Twente in Enschede, Netherlands. http://www.gdmc.nl/oosterom/PoRSHyperlinked.pdf
Martin, Prince (2018). "If you can't measure it, you can't manage it" - essential truth, or costly myth? World Psychiatry. 17(1):1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5775130/
Nandasena, W.D.K.V., Brabyn, L., Serrao-Neumann, S. (2022). Using Remote Sensing for Sustainable Forest Management in Developing Countries. https://link.springer.com/referenceworkentry/10.1007/978-3-030-38948-2_35-1#citeas
Ogbodo, J. A., Bichi, A. U. H., and Ogbodo, J. I. (2021). Analyzing the progress, pitfalls and prospects for attaining environmental-related sustainable development goals in Nigeria. Animal Research International, 18(1), 3990-4004. https://www.ajol.info/index.php/ari/article/view/206768
Ogbodo, J. A., Obimdike, L. M., and Benison, Y. (2020). Remote sensing for urban tree canopy change detection with Landsat satellite data in Nnamdi Azikiwe University Awka, Nigeria. Indonesian Journal of Forestry Research, 7(2), 99-112. http://ejournal.forda-mof.org/ejournal-litbang/index.php/IJFR/article/view/5759
Ogbodo, J. A., Obimdike, L. M., and Benison, Y. (2020). Remote Sensing For Urban Tree Canopy Change Detection with Landsat Satellite Data in Nnamdi Azikiwe University Awka–Nigeria. Indonesian Journal of Forestry Research, 7(2), 99-112. https://ejournal.aptklhi.org/index.php/ijfr/article/view/463
Ogbodo, J. A., Oke, D. O., and Dagba, B. I. (2015). The potential of synthetic aperture radar (SAR) imagery in automated detection of forest degradation features using visual and semi-automated analyses. Landuse, Landuse Change and Forestry, 57-77. https://www.researchgate.net/profile/John-Ogbodo-3/publication/293891400_The_Potential_of_Synthetic_Aperture_Radar_SAR_Imagery_in_Automated_Detection_of_Forest_Degradation_Features_Using_Visual_and_Semi-Automated_Analyses/links/56bcd86808ae6cc737c674d0/The-Potential-of-Synthetic-Aperture-Radar-SAR-Imagery-in-Automated-Detection-of-Forest-Degradation-Features-Using-Visual-and-Semi-Automated-Analyses.pdf
Ogbodo, J. A., Okeke, F. I., and Odey, P. O. (2024). Open-Source Remote Sensing Determination of Carbon Emissions from Tropical Deforestation Scenarios in Southeast Nigeria. Qeios. https://www.qeios.com/read/JZ21C6
Ogbodo, J. A., Wasige, E. J., Shuaibu, S. M., Dube, T., and Anarah, S. E. (2019). Remote sensing of droughts impacts on maize prices using SPOT-VGT Derived Vegetation Index. Climate Change-Resilient Agriculture and Agroforestry: Ecosystem Services and Sustainability, 235-255. https://link.springer.com/chapter/10.1007/978-3-319-75004-0_14
Okeke, F. I. (2006). InSAR operational and processing steps for DEM generation. Promoting Land Administration and Good Governance, 1-13. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=8kKfXrUAAAAJ&citation_for_view=8kKfXrUAAAAJ:IjCSPb-OGe4C
Parra, Lorena. (2022). "Remote Sensing and GIS in Environmental Monitoring" Applied Sciences 12, no. 16: 8045. https://www.mdpi.com/2076-3417/12/16/8045#:~:text=Remote%20sensing%20and%20GIS%20in%20the%20urban%20area%20can%20be,where%20to%20build%20new%20structures
Rapiya, M., Ramoelo, A., and Truter, W. (2025). Seasonal monitoring of forage C: N: ADF ratio in natural rangeland using remote sensing data. Environmental Monitoring and Assessment, 197(2), 137. https://link.springer.com/article/10.1007/s10661-024-13579-x
Shuaibu, S. M., Ogbodo, J. A., Wasige, E. J., and Mashi, S. A. (2016). Assessing the impact of agricultural drought on maize prices in Kenya with the approach of the SPOT-VEGETATION NDVI remote sensing. Future of Food: Journal on Food, Agriculture and Society, 4(3), 8-18. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Assessing+the+impact+of+agricultural+drought+on+maize+prices+in+Kenya+with+the+approach+of+the+SPOT-VEGETATION+NDVI+remote+sensing&btnG=#d=gs_cit&t=1745483778084&u=%2Fscholar%3Fq%3Dinfo%3AVIaVLFAE10QJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den
University of Wisconsin and University of Washington, (2010). Resolutions in remote sensing. Accessed on April 24, 2025 from https://cimss.ssec.wisc.edu/sage/remote_sensing/lesson3/concepts.html
Zhai, W., Cheng, Q., Duan, F., Huang, X., and Chen, Z. (2025). Remote sensing-based analysis of yield and water-fertilizer use efficiency in winter wheat management. Agricultural Water Management, 311, 109390. https://www.sciencedirect.com/science/article/pii/S0378377425001040
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