A review on change detection method and accuracy assessment for land use land cover

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dc.contributor.authorChughtai, Ali Hassan
dc.contributor.authorAbbasi, Habibullah
dc.contributor.authorKaras, Ismail Rakip
dc.date.accessioned2024-09-29T16:00:38Z
dc.date.available2024-09-29T16:00:38Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe assessment of land use land cover change is extremely important for understanding the relationship between humans and nature. The enormous changes at a regional scale and advancements in technology have encouraged researchers to gather more information. The remote sensing technology and GIS tools cooperatively have made it easier to monitor the changes in land use land cover (LULC) from past to present. This technology has unraveled the changes at the regional and global level and has also contributed tremendous benefits to the scientific community. A variety of change detection algorithms have been used in the history of remote sensing to detect changes at earth's surface and newer techniques are still in process. The data from remote sensing satellites are the primary sources that provide an opportunity to acquire information about LULC change in recent decades, which extensively use different algorithms according to the research needs. The selection of appropriate change detection method is highly recommended in every remote sensing project. This review paper begins with the traditional pre and post-classification change detection techniques related to LULC information at the regional level. Therefore, this paper evaluated the mostly used change detection method among all others to find remarkable results. Thus the review concludes the post-classification change detection method using maximum likelihood classifier (MLC) supervised classification is applicable in all cases. The comparative analysis was also performed in a selected region having multiple land features during review in which MLC results best in comparison to others. MLC is the most commonly used technique from the past till present that has achieved high accuracy in all regions comparatively to other techniques.en_US
dc.identifier.doi10.1016/j.rsase.2021.100482
dc.identifier.issn2352-9385
dc.identifier.urihttps://doi.org/10.1016/j.rsase.2021.100482
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5264
dc.identifier.volume22en_US
dc.identifier.wosWOS:000654763200012en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofRemote Sensing Applications-Society and Environmenten_US
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRemote sensingen_US
dc.subjectChange detectionen_US
dc.subjectLULC changeen_US
dc.subjectSupervised classificationen_US
dc.subjectUnsupervised classificationen_US
dc.subjectPost-classificationen_US
dc.titleA review on change detection method and accuracy assessment for land use land coveren_US
dc.typeReviewen_US

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