# | Title | Journal | Year | Citations |
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1 | Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) | Geomatics, Natural Hazards and Risk | 2018 | 349 |
2 | Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS | Geomatics, Natural Hazards and Risk | 2017 | 280 |
3 | Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis | Geomatics, Natural Hazards and Risk | 2016 | 278 |
4 | Multipurpose UAV for search and rescue operations in mountain avalanche events | Geomatics, Natural Hazards and Risk | 2017 | 253 |
5 | Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea | Geomatics, Natural Hazards and Risk | 2017 | 235 |
6 | Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area | Geomatics, Natural Hazards and Risk | 2010 | 182 |
7 | GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models | Geomatics, Natural Hazards and Risk | 2017 | 179 |
8 | GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques | Geomatics, Natural Hazards and Risk | 2017 | 178 |
9 | A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS | Geomatics, Natural Hazards and Risk | 2013 | 174 |
10 | A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China | Geomatics, Natural Hazards and Risk | 2017 | 162 |
11 | Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem | Geomatics, Natural Hazards and Risk | 2016 | 144 |
12 | Land use change modelling using a Markov model and remote sensing | Geomatics, Natural Hazards and Risk | 2014 | 143 |
13 | Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods | Geomatics, Natural Hazards and Risk | 2016 | 131 |
14 | Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods | Geomatics, Natural Hazards and Risk | 2019 | 130 |
15 | A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping | Geomatics, Natural Hazards and Risk | 2016 | 127 |
16 | Drought and food security prediction from NOAA new generation of operational satellites | Geomatics, Natural Hazards and Risk | 2019 | 122 |
17 | Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS | Geomatics, Natural Hazards and Risk | 2016 | 106 |
18 | Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 | Geomatics, Natural Hazards and Risk | 2020 | 105 |
19 | Current status of seismo-electromagnetics for short-term earthquake prediction | Geomatics, Natural Hazards and Risk | 2010 | 104 |
20 | Land subsidence in coastal city of Semarang (Indonesia): characteristics, impacts and causes | Geomatics, Natural Hazards and Risk | 2013 | 102 |
21 | Mapping disaster vulnerability in India using analytical hierarchy process | Geomatics, Natural Hazards and Risk | 2016 | 102 |
22 | Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China) | Geomatics, Natural Hazards and Risk | 2017 | 100 |
23 | Appearance of extreme monsoonal rainfall events and their impact on erosion in the Himalaya | Geomatics, Natural Hazards and Risk | 2010 | 96 |
24 | Glacial lake outburst flood risk assessment of Sun Koshi basin, Nepal | Geomatics, Natural Hazards and Risk | 2010 | 94 |
25 | Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event | Geomatics, Natural Hazards and Risk | 2019 | 93 |
26 | Satellite-based assessment of the August 2018 flood in parts of Kerala, India | Geomatics, Natural Hazards and Risk | 2019 | 91 |
27 | Climatic, geomorphic and anthropogenic drivers of the 2014 extreme flooding in the Jhelum basin of Kashmir, India | Geomatics, Natural Hazards and Risk | 2018 | 89 |
28 | Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses | Geomatics, Natural Hazards and Risk | 2018 | 89 |
29 | Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping | Geomatics, Natural Hazards and Risk | 2019 | 89 |
30 | Social vulnerability assessment of flood risk using GIS-based multicriteria decision analysis. A case study of Vila Nova de Gaia (Portugal) | Geomatics, Natural Hazards and Risk | 2016 | 88 |
31 | A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam) | Geomatics, Natural Hazards and Risk | 2015 | 86 |
32 | Flood monitoring and mapping using passive microwave remote sensing in Namibia | Geomatics, Natural Hazards and Risk | 2010 | 85 |
33 | Flood hazard and flood risk assessment at the local spatial scale: a case study | Geomatics, Natural Hazards and Risk | 2016 | 85 |
34 | Performance of low-cost GNSS receiver for landslides monitoring: test and results | Geomatics, Natural Hazards and Risk | 2015 | 83 |
35 | A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping | Geomatics, Natural Hazards and Risk | 2021 | 83 |
36 | Spatial vulnerability assessment of floods in the coastal regions of Bangladesh | Geomatics, Natural Hazards and Risk | 2015 | 82 |
37 | First insights on the potential of Sentinel-1 for landslides detection | Geomatics, Natural Hazards and Risk | 2016 | 81 |
38 | A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS | Geomatics, Natural Hazards and Risk | 2017 | 81 |
39 | Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine | Geomatics, Natural Hazards and Risk | 2018 | 81 |
40 | GIS based landslide susceptibility mapping of northern areas of Pakistan, a case study of Shigar and Shyok Basins | Geomatics, Natural Hazards and Risk | 2017 | 80 |
41 | Flood susceptibility mapping using an improved analytic network process with statistical models | Geomatics, Natural Hazards and Risk | 2020 | 79 |
42 | Use of unmanned aerial vehicles in monitoring application and management of natural hazards | Geomatics, Natural Hazards and Risk | 2017 | 77 |
43 | Estimating tree heights with images from an unmanned aerial vehicle | Geomatics, Natural Hazards and Risk | 2017 | 76 |
44 | The 2009 Bhutan and Assam felt earthquakes (Mw6.3 and 5.1) at the Kopili fault in the northeast Himalaya region | Geomatics, Natural Hazards and Risk | 2010 | 75 |
45 | Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide | Geomatics, Natural Hazards and Risk | 2019 | 75 |
46 | Identification of erosion-prone areas using different multi-criteria decision-making techniques and GIS | Geomatics, Natural Hazards and Risk | 2018 | 74 |
47 | Glacial lake outburst flood hazards in Hindukush, Karakoram and Himalayan Ranges of Pakistan: implications and risk analysis | Geomatics, Natural Hazards and Risk | 2012 | 73 |
48 | The use of satellite data for agriculture drought risk quantification in Ukraine | Geomatics, Natural Hazards and Risk | 2016 | 73 |
49 | GIS-based spatial prediction of landslide susceptibility using logistic regression model | Geomatics, Natural Hazards and Risk | 2011 | 72 |
50 | Modelling spatial patterns of wildfire occurrence in South-Eastern Australia | Geomatics, Natural Hazards and Risk | 2016 | 69 |