The fact index112provides an index to the fact repository114and facilitates efficient lookup of information in the fact repository114. The fact index112may index the fact repository114based on one or more parameters. For example, the fact index112may have an index that maps unique terms (e.g...
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Therefore, we conclude that this method allows geoscientists to update previous geological maps and rapidly produce more precise lithological maps, especially for hard-to-reach regions. Keywords: machine learning algorithms; google earth engine; dempster–shafer theory; lithological mapping; Sentinel 2A; ...
To achieve the study’s aim, LULC and LST maps were generated based on the cost-effective cloud-based geospatial analysis platform Google Earth Engine (GEE). Furthermore, the geospatial and geo-statistical relationship between LULC, LST, and spectral indices of LULC, including the Normalised ...
Creation of Wildfire Susceptibility Maps in Plumas National Forest Using InSAR Coherence, Deep Learning, and Metaheuristic Optimization Approaches. Remote Sens. 2022, 14, 4416. [Google Scholar] [CrossRef] Zhang, X.; Lan, M.; Ming, J.; Zhu, J.; Lo, S. Spatiotemporal Heterogeneity of ...
Application of Hierarchical Spatial Autoregressive Models to Develop Land Value Maps in Urbanized Areas. ISPRS Int. J. Geo-Inf. 2019, 8, 195. [Google Scholar] [CrossRef] [Green Version] Bełej, M. Synergistic Network Connectivity among Urban Areas Based on Non-Linear Model of Housing Prices...
Lakes are an important component of global water resources. In order to achieve accurate lake extractions on a large scale, this study takes the Tibetan Plateau as the study area and proposes an Automated Lake Extraction Workflow (ALEW) based on the Goog