A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis

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dc.contributor.authorLyimo, Neema Nicodemus
dc.contributor.authorShao, Zhenfeng
dc.contributor.authorAlly, Ally Mgelwa
dc.contributor.authorTwumasi, Nana Yaw Danquah
dc.contributor.authorAltan, Orhan
dc.contributor.authorSanga, Camilius A
dc.date.accessioned2020-12-14T15:42:35Z
dc.date.available2020-12-14T15:42:35Z
dc.date.issued2020-12-09
dc.description.abstractBesides OpenStreetMap (OSM), there are other local sources, such as open government data (OGD), that have the potential to enrich the modeling process with decision criteria that uniquely reflect some local patterns. However, both data are affected by uncertainty issues, which limits their usability. This work addresses the imprecisions on suitability layers generated from such data. The proposed method is founded on fuzzy logic theories. The model integrates OGD, OSM data and remote sensing products and generate reliable landfill suitability results. A comparison analysis demonstrates that the proposed method generates more accurate, representative and reliable suitability results than traditional methods. Furthermore, the method has facilitated the introduction of open government data for suitability studies, whose fusion improved estimations of population distribution and land-use mapping than solely relying on free remotely sensed images. The proposed method is applicable for preparing decision maps from open datasets that have undergone similar generalization procedures as the source of their uncertainty. The study provides evidence for the applicability of OGD and other related open data initiatives (ODIs) for land-use suitability studies, especially in developing countries.en_US
dc.identifier.citationISPRS Int. J. Geo-Inf. 2020, 9, 737; doi:10.3390/ijgi9120737en_US
dc.identifier.urihttps://www.suaire.sua.ac.tz/handle/123456789/3316
dc.language.isoenen_US
dc.publisherInternational Journal of Geo-Informationen_US
dc.subjectGISen_US
dc.subjectremote sensingen_US
dc.subjectopen dataen_US
dc.subjectopen government dataen_US
dc.subjectfuzzy logicen_US
dc.subjectsuitability analysisen_US
dc.subjectlandfill modelingen_US
dc.subjectdeveloping countriesen_US
dc.titleA Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysisen_US
dc.typeArticleen_US
dc.urldoi:10.3390/ijgi9120737en_US

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