Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects
Abstract Understanding land use and land cover (LULC) classification is critical for addressing environmental and human needs, particularly in developing countries. Nigeria is a developing country experiencing rapid population growth and economic development leading to increased LULC changes. While...
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2024-12-01
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| Series: | Bulletin of the National Research Centre |
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| Online Access: | https://doi.org/10.1186/s42269-024-01286-z |
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| author | Okikiola Michael Alegbeleye Yetunde Oladepe Rotimi Patricia Shomide Abiodun Oyediran Oluwadamilola Ogundipe Abiodun Akintunde-Alo |
| author_facet | Okikiola Michael Alegbeleye Yetunde Oladepe Rotimi Patricia Shomide Abiodun Oyediran Oluwadamilola Ogundipe Abiodun Akintunde-Alo |
| author_sort | Okikiola Michael Alegbeleye |
| collection | DOAJ |
| description | Abstract Understanding land use and land cover (LULC) classification is critical for addressing environmental and human needs, particularly in developing countries. Nigeria is a developing country experiencing rapid population growth and economic development leading to increased LULC changes. While many studies have been done on LULC changes, there is a need for a comprehensive review of existing knowledge and limitations of LULC analyses in Nigeria. Hence, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method, this review paper presents a systematic review of LULC analyses in Nigeria by examining the adopted remote sensing data, pre-classified global and regional LULC maps, and classification and validation methods. This paper draws attention to the significant growth in LULC studies and highlights a need for awareness and access to existing and readily available LULC data. This review provides a broad overview of LULC data, classification methods, focus, scale, and constraints associated with LULC analysis in Nigeria. Also, it provides probable solutions to the challenges and GEE-based LULC classification scripts. There is a need to create and prioritize a national LULC data repository to ensure sustainable land monitoring and management in Nigeria. This will facilitate the spatial and temporal assessment of LULC at different scales and regions. High-resolution imagery and advanced classification methods such as deep learning need to be adopted to ensure accurate land cover analysis at different scales. Also, increased awareness programs, collaboration, and capacity-building initiatives will be beneficial to addressing current and emerging challenges related to LULC studies in Nigeria. |
| format | Article |
| id | doaj-art-8cdeaa8daec64b3fb41dcb059997808d |
| institution | Kabale University |
| issn | 2522-8307 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Bulletin of the National Research Centre |
| spelling | doaj-art-8cdeaa8daec64b3fb41dcb059997808d2024-12-22T12:13:06ZengSpringerOpenBulletin of the National Research Centre2522-83072024-12-0148111310.1186/s42269-024-01286-zLand use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospectsOkikiola Michael Alegbeleye0Yetunde Oladepe Rotimi1Patricia Shomide2Abiodun Oyediran3Oluwadamilola Ogundipe4Abiodun Akintunde-Alo5School of Environment, Washington State UniversitySchool of Environment, Washington State UniversityDepartment of Social and Environmental Forestry, University of IbadanDepartment of Social and Environmental Forestry, University of IbadanSwiss Federal Institute for Forest, Snow, and Landscape Research WSLDepartment of Social and Environmental Forestry, University of IbadanAbstract Understanding land use and land cover (LULC) classification is critical for addressing environmental and human needs, particularly in developing countries. Nigeria is a developing country experiencing rapid population growth and economic development leading to increased LULC changes. While many studies have been done on LULC changes, there is a need for a comprehensive review of existing knowledge and limitations of LULC analyses in Nigeria. Hence, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method, this review paper presents a systematic review of LULC analyses in Nigeria by examining the adopted remote sensing data, pre-classified global and regional LULC maps, and classification and validation methods. This paper draws attention to the significant growth in LULC studies and highlights a need for awareness and access to existing and readily available LULC data. This review provides a broad overview of LULC data, classification methods, focus, scale, and constraints associated with LULC analysis in Nigeria. Also, it provides probable solutions to the challenges and GEE-based LULC classification scripts. There is a need to create and prioritize a national LULC data repository to ensure sustainable land monitoring and management in Nigeria. This will facilitate the spatial and temporal assessment of LULC at different scales and regions. High-resolution imagery and advanced classification methods such as deep learning need to be adopted to ensure accurate land cover analysis at different scales. Also, increased awareness programs, collaboration, and capacity-building initiatives will be beneficial to addressing current and emerging challenges related to LULC studies in Nigeria.https://doi.org/10.1186/s42269-024-01286-zLand use land coverRemote sensingClassificationNigeriaGEE |
| spellingShingle | Okikiola Michael Alegbeleye Yetunde Oladepe Rotimi Patricia Shomide Abiodun Oyediran Oluwadamilola Ogundipe Abiodun Akintunde-Alo Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects Bulletin of the National Research Centre Land use land cover Remote sensing Classification Nigeria GEE |
| title | Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects |
| title_full | Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects |
| title_fullStr | Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects |
| title_full_unstemmed | Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects |
| title_short | Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects |
| title_sort | land use land cover lulc analysis in nigeria a systematic review of data methods and platforms with future prospects |
| topic | Land use land cover Remote sensing Classification Nigeria GEE |
| url | https://doi.org/10.1186/s42269-024-01286-z |
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