4/2/2023 0 Comments Clean text data fuzzy logic![]() In open spatial data, OSM data features and OGD POIs information usually undergo some kind of generalization or simplification to represent actual features on the ground. Uncertainty in remotely sensed images is experienced as a mixed pixel problem and intra-class variability, causing difficulty in image classification. 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. The proposed method is applicable for preparing decision maps from open datasets that have undergone similar generalization procedures as the source of their uncertainty. 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. A comparison analysis demonstrates that the proposed method generates more accurate, representative and reliable suitability results than traditional methods. The model integrates OGD, OSM data and remote sensing products and generate reliable landfill suitability results. ![]() The proposed method is founded on fuzzy logic theories. ![]() This work addresses the imprecisions on suitability layers generated from such data. However, both data are affected by uncertainty issues, which limits their usability. ![]() Besides 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. ![]()
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