References
- Akafor F.C., Obiezue R.N., 2004. Malacological survey of the freshwater systems of Anambra River Basin area in Anambra State, Nigeria. Bio-Research 2(1): 29–38. DOI 10.4314/br.v2i1.28539.
- Al-Hameedi W.M.M., Chen J., Faichia C., Al-Shaibah B., Nath B., Kafy A.-A., Hu G., et al., 2021. Remote sensing-based urban sprawl modeling using multilayer perceptron neural network Markov chain in Baghdad, Iraq. Remote Sensing 13(20): 4034. MDPI AG. DOI 10.3390/rs13204034.
- Al-Hameedi W.M.M., Chen J., Faichia C., Nath B., Al-Shaibah B., Al-Aizari A., 2022. Geospatial analysis of land use/cover change and land surface temperature for land-scape risk pattern change evaluation of Baghdad City, Iraq, using CA–Markov and ANN models. Sustainability 14(14): 8568. DOI 10.3390/su14148568.
- Anderson J.R., 1976. A land use and land cover classification system for use with remote sensor data (Vol. 964). US Government Printing Office, Washington DC, 28.
- Asenso Barnieh B., Jia L., Menenti M., Zhou J., Zeng Y., 2020. Mapping land use land cover transitions at different spatiotemporal scales in West Africa. Sustainability 12(20): 8565. DOI 10.3390/su12208565.
- Assefa W.W., Eneyew B.G., Wondie A., 2021. The impacts of land-use and land-cover change on wetland ecosystem service values in peri-urban and urban area of Bahir Dar City, Upper Blue Nile Basin, Northwestern Ethiopia. Ecological Processes 10(1): 39. DOI 10.1186/s13717-021-00310-8.
- Barbier E.B., 2021. The evolution of economic views on natural resource scarcity. Review of Environmental Economics and Policy 15(1): 24–44. DOI 10.1086/712926.
- Beeson M., 2010. The coming of environmental authoritarianism. Environmental Politics 19(2): 276–294. DOI 10.1080/09644010903576918.
- Benediktsson J.A., Sveinsson J.R., 2003. Multisource remote sensing data classification based on consensus and pruning. IEEE Transactions on Geoscience and Remote Sensing 41(4): 932–936. DOI 10.1109/TGRS.2003.812000.
- Beroho M., Briak H., Cherif E.K., Boulahfa I., Ouallali A., Mrabet R., Kebede F., et al., 2023. Future scenarios of land use/land cover (LULC) based on a CA-Markov simulation model: Case of a Mediterranean watershed in Morocco. Remote Sensing 15(4): 1162. DOI 10.3390/rs15041162.
- Biitir S.B., Nara B.B., 2016. The role of customary land secretariats in promoting good local land governance in Ghana. Land Use Policy 50: 528–536. DOI 10.1016/j.landusepol.2015.10.024.
- Brody S.D., 2003. Implementing the principles of ecosystem management through local land use planning. Population and Environment 24: 511–540. DOI 10.1023/A:1025078715216.
- Chamie J., 2022. Population levels, trends, and differentials. Springer, Cham: 149–152. DOI 10.1007/978-3-031-22479-9_31.
- Chung L.L.W., 1994. The economics of land-use zoning: A literature review and analysis of the work of Coase. The Town Planning Review65(1): 77–98. DOI 10.3828/tpr.65.1.j15rh7037v511127.
- Cochran W.G., 1977. Sampling Techniques. 3d ed. John Wiley & Sons, New York.
- UN DESA, 2017. World population projected to reach 9.8 billion in 2050, and 11.2 billion in 2100. UN DESA| United Nations Department of economic and social affairs. un.org.
- El-Kawy O.A., Rød J.K., Ismail H.A., Suliman A.S., 2011. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography 31(2): 483–494.
- The state of the world’s biodiversity for food and agriculture. Food and Agriculture Organization of the United Nations. Online: www.fao.org/3/CA3129EN/CA3129EN. pdf (accessed 1 June 2023).
- Frizzelle B.G., Moody A., 2001. Mapping continuous distributions of land cover: A comparison of maximum-like-lihood estimation and artificial neural networks. Photo-grammetric Engineering and Remote Sensing 67(6): 693–706.
- Foley J.A., DeFries R., Asner G.P., Barford C., Bonan G., Carpenter S.R., Chapin F.S., Coe M.T., Daily G.C., Gibbs H.K., Helkowski J.H., Holloway T., Howard E.A., Kucharik C.J., Monfreda C., Patz J.A., Prentice I.C., Ramankutty N., Snyder P.K., 2005. Global consequences of land use. Science 309(5734): 570–574. DOI 10.1126/science.1111772.
- Fu D., Wu X., Duan C., Guan Q., Huang N., 2018. Changes in functional structure characteristics mediate ecosystem functions during human-induced land-cover alteration: A case study in southwest China. Journal of Soil and Water Conservation 73(4): 461–468. DOI 10.2489/jswc.73.4.461.
- Gashaw T., Tulu T., Argaw M., Worqlul A.W., 2017. Evaluation and prediction of land use/land cover changes in the Andassa watershed, Blue Nile Basin, Ethiopia. Environmental Systems Research 6(1): 1–15. DOI 10.1186/s40068-017-0094-5.
- George, M. V., Smith Population Projections. In J. S. Siegel and D. A. Swanson (Eds.), The methods and materials of demography (2nd ed, S. K., Swanson, D. A., and Tayman, J. (2004)., pp. 561–602). Elsevier Academic Press, USA.
- Girma R., Fürst C., Moges A., 2022. Land use land cover change modeling by integrating artificial neural network with cellular Automata-Markov chain model in Gidabo river basin, main Ethiopian rift. Environmental Challenges 6: 100419. DOI 10.1016/j.envc.2021.100419.
- Gordon A., Simondson D., White M., Moilanen A., Bekessy S.A., 2009. Integrating conservation planning and landuse planning in urban landscapes. Landscape and Urban Planning 91(4): 183–194. DOI 10.1016/j.landurb-plan.2008.12.011.
- Halmy M.W.A., Gessler P.E., Hicke J.A., Salem B.B., 2015: Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. – Applied Geography 63: 101–112. DOI 10.1016/j.apgeog.2015.06.015.
- Herrmann S.M., Brandt M., Rasmussen K., Fensholt R., 2020. Accelerating land cover change in West Africa over four decades as population pressure increased. Communications Earth, Environment 1(1): 53. DOI 10.1038/s43247-020-00053-y.
- Hossain M., 2015. Improving land administration and management in Bangladesh. Final Report. Bangladesh Institute of Development Studies (BIDS), Dhaka.
- Hua A., 2017. Application of Ca-Markov model and land use/land cover changes in Malacca River Watershed, Malaysia. Applied Ecology and Environmental Research 15(4): 605–622. DOI 10.15666/AEER/1504_605622.
- Huang W.Y., Daberkow S.G., 1996. The role of planting flexibility and the acreage reduction program in encouraging sustainable agriculture practices. Journal of Sustainable Agriculture 7(1): 63–79. DOI 10.1300/J064v07n01_06.
- Imarhiagbe O., Egboduku W.O., Nwankwo B.J., 2020. A review of the biodiversity conservation status of Nigeria. Journal of Wildlife and Biodiversity 4(1): 73–83. DOI 10.22120/jwb.2019.115501.1096.
- Jensen R.R., Binford M.W., 2004. Measurement and comparison of leaf area index estimators derived from satellite remote sensing techniques. International Journal of Remote Sensing 25(20): 4251–4265. DOI 10.1080/01431160410001680400.
- Jensen, J.R. Im, J. Hardin, P and Jensen, R.R. (2009). Image classification. In The SAGE Handbook of Remote Sensing; Warner, T.A., Nellis, M.D., Foody, G.M., Eds.; SAGE Publications Ltd: London, UK 269–281.
- Li Z., Ma L., Gou D., Hong Q., Fai L., Xiong B., 2022. The impact of urban development on wetland conservation. Sustainability 14(21): 13747. DOI 10.3390/su142113747.
- Mahtta R., Fragkias M., Güneralp B., Mahendra A., Reba M., Wentz E.A., Seto K.C., 2022. Urban land expansion: The role of population and economic growth for 300+ cities. Npj Urban Sustainability 2(1): 5. DOI 10.1038/s42949-022-00048-y.
- Mamun A.A., Mahmood A., Rahman M., 2013. Identification and monitoring the change of land use pattern using remote sensing and GIS: A case study of Dhaka City. IOSR Journal of Mechanical and Civil Engineering 6(2): 20–28. DOI 10.9790/1684-0622028.
- Metternicht G., 2017. Land use planning. Global Land Outlook (Working Paper).
- Mertens B., Lambin E.F., 2000. Land-cover-change trajectories in southern Cameroon. Annals of the Association of American Geographers 90(3): 467–494. DOI 10.1111/0004-5608.00205.
- Muchoney D., Williamson J., 2001. A Gaussian adaptive resonance theory neural network classification algorithm applied to supervised land cover mapping using multitemporal vegetation index data. IEEE Transactions on Geoscience and Remote Sensing 39(9): 1969–1977. DOI 10.1109/36.951087.
- Mugari E., Masundire H., 2022. Consistent changes in land-use/land-cover in semi-arid areas: Implications on ecosystem service delivery and adaptation in the Limpopo Basin, Botswana. Land 11(11): 2057. DOI 10.3390/land11112057.
- Nath B., Wang Z., Ge Y., Islam K., Singh R.P., Niu Z., 2020. Land use and land cover change modeling and future potential landscape risk assessment using Markov-CA model and analytical hierarchy process. ISPRS International Journal of Geo-Information 9(2): 134. DOI 10.3390/ijgi9020134.
- National Research Council, 2010. Toward sustainable agricultural systems in the 21st century. National Academies Press, Washington, D.C. DOI 10.17226/12832.
- NBS [National Bureau of Statistics], 2023. National Bureau of Statistics. Online: www.nigerianstat.gov.ng/ (accessed 1 June 2023).
- Nel V., 2016. A better zoning system for South Africa? Land Use Policy 55: 257–264. DOI 10.1016/j.landuse-pol.2016.04.007.
- Nwani C.D., Ude E.F., 2005. Morphometric variations among three Distichodus species of Anambra River, Nigeria. Animal Research International 2(3): 372–376. DOI 10.4314/ari.v2i3.40872.
- Nwilo P.C., Njar N.G., Inyang U.B., Okolie C.J., Daramola O.E., Orji M.J., Olanrewaju H.O., Akinnusi S.A., and Egogo-Stanley A.O., 2021. Monitoring and prediction of land cover change in the Anambra River Basin using neural network classification and Ca-Markov model. In: Proceedings of the 3rd Intercontinental Geoinformation Days (IGD), 78–81. Mersin, Turkey.
- Ogoke K., 2023. Revitalizing South Eastern Nigeria’s agricultural sector: calls for technological support and data-driven industry. Online: www.linkedin.com/pulse/revitalizing-south-eastern-nigerias-agricultural-sector-kelechi-ogoke/ (accessed 20 October 2023).
- Pontius R.G.Jr., Millones M., 2011. Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing. 32(15): 4407–4429. DOI 10.1080/01431161.2011.552923.
- Rani A., Gupta S.K., Singh S.K., Meraj G., Kumar P., Kanga S., Đurin B., et al., 2023. Predicting future land use utilizing economic and land surface parameters with ANN and Markov Chain models. Earth 4(3): 728–751. DOI 10.3390/earth4030039.
- Sankarrao L., Ghose D.K., Rathinsamy M., 2021. Predicting land-use change: Intercomparison of different hybrid machine learning models. Environmental Modelling, Software 145: 105207. DOI 10.1016/j.envsoft.2021.105207.
- Singh, V.P., Yadav, S., Yadav, K.K., Yadava, R.N. (2022). An Overview on Environmental Degradation and Mitigation. In: Singh, V.P., Yadav, S., Yadav, K.K., Yadava, R.N. (eds) Environmental Degradation: Challenges and Strategies for Mitigation. Water Science and Technology Library, vol 104. Springer, Cham. Switzerland. DOI 10.1007/978-3-030-95542-7_1.
- Sola A.O., 2014. Environmental education and public awareness. Journal of Educational and Social Research 4(3): 333. DOI 10.5901/jesr.2014.v4n3p333.
- Tatem A.J., Lewis H.G., Atkinson P.M., Nixon M.S., 2001. Super-resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Transactions on Geoscience and Remote Sensing 39(4) 781–796. DOI 10.1109/36.917895.
- USGS [United States Geological Survey], 2023. EarthExplorer. Online: earthexplorer.usgs.gov (accessed 1 June 2023).
- Wubie M.A., Assen M., Nicolau M.D., 2016. Patterns, causes and consequences of land use/cover dynamics in the Gumara watershed of Lake Tana basin, Northwestern Ethiopia. Environmental Systems Research 5(1): 1–12. DOI 10.1186/s40068-016-0058-1.
- Ziegler E.H., 1993. Rathkopf’s the law of zoning and planning. Clark Boardman Callaghan, New York, NY.