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A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping
TLDR
We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Expand
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PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping
This paper describes the application of a well-known multi-criteria decision-making technique, called preference ranking organization method for enrichment evaluation (PROMETHEE II), in combinationExpand
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Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method
TLDR
We propose a hybrid GIS-based LSM based on fuzzy sets theory and Shannon entropy, a well-known information theory-based method. Expand
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Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest
TLDR
We apply and compare two uncertainty assessment techniques that do not rely on test data availability and enable the spatial characterisation of classification accuracy before the validation phase. Expand
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Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping
TLDR
This study compares the predictive performance of GIS-based landslide susceptibility mapping (LSM) using four different kernel functions in support vector machines (SVMs) using information on known landslide events from a landslide inventory dataset. Expand
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Drought sensitivity mapping using two one-class support vector machine algorithms
This paper investigates the use of standardised precipitation index (SPI) and the enhanced vegetation index (EVI) as indicators of soil moisture. On the other hand, we attempted to produce a droughtExpand
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A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change
TLDR
We introduce DoTRules - a dictionary of trusted rules - as a transparent alternative to calculate transition potential in cellular automata models that can be readily accessed and interpreted. Expand
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Landslide susceptibility mapping using geographically-weighted principal component analysis
Landslide susceptibility mapping (LSM) documents the extent of probable landslide events in a region to investigate the distribution, pattern, recurrence and statistics of slope failure andExpand
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A Novel Rule-Based Approach in Mapping Landslide Susceptibility
TLDR
We apply a novel rule-based system as an alternative approach for landslide susceptibility mapping (LSM) techniques, which is beneficial to derive insights into LSM processes. Expand
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Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran
Abstract In recent years, urbanization has widely been developed and resulted in great loss of natural resources on earth and many other consequences such as temperature rise which exposes the citiesExpand
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