Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods

A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping

(2021) Zhu Liang et al.   Remote Sensing

Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

(2020) Hamid Reza Pourghasemi et al.   Scientific Reports

Characteristics of Coastline Changes on Southeast Asia Islands from 2000 to 2015

(2020) Yuxin Zhang et al.   Remote Sensing

A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

(2020) Yumiao Wang et al.   CATENA

Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability

(2020) Mariano Di Napoli et al.   Landslides

Spatial Environmental Modeling for Wildfire Progression Accelerating Extent Analysis Using Geo-Informatics

(2020) Narueset Prasertsri et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process

(2020) Hamid Reza Pourghasemi et al.   Geoscience Frontiers

Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms

(2020) Weizhang Liang et al.   Mathematics

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

The GEM Global Active Faults Database

(2020) Richard Styron et al.   EARTHQUAKE SPECTRA

Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

(2020) Xia Zhao et al.   Remote Sensing

Landslide Susceptibility Assessment of Wildfire Burnt Areas through Earth-Observation Techniques and a Machine Learning-Based Approach

(2020) Mariano Di Napoli et al.   Remote Sensing

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

(2020) Ahmed Mohamed Youssef et al.   Geoscience Frontiers

Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping

(2020) Zhu Liang et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria

(2020) Thimmaiah Gudiyangada Nachappa et al.   Remote Sensing

Flood susceptibility modelling using advanced ensemble machine learning models

(2020) Abu Reza Md Towfiqul Islam et al.   Geoscience Frontiers

GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

(2020) Xi Chen et al.   CATENA

Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping

(2020) Binh Thai Pham et al.   CATENA

Biomass burning spatiotemporal variations over South and Southeast Asia

(2020) Shuai Yin   ENVIRONMENT INTERNATIONAL

Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments

(2020) Wei Chen et al.   Remote Sensing

Evaluation and convergence analysis of socio-economic vulnerability to natural hazards of Belt and Road Initiative countries

(2020) Zhihui Li et al.   JOURNAL OF CLEANER PRODUCTION

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

(2019) Peng Gong et al.   Science Bulletin

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

The future of Southeast Asia’s forests

(2019) Ronald C. Estoque et al.   Nature Communications

Predicting spatial patterns of wildfire susceptibility in the Huichang County, China: An integrated model to analysis of landscape indicators

(2019) Haoyuan Hong et al.   ECOLOGICAL INDICATORS

Adaboost-based security level classification of mobile intelligent terminals

(2019) Feng Wang et al.   JOURNAL OF SUPERCOMPUTING

Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR)

(2019) Caroline S. Juang et al.   PLoS One

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Trends in Vegetation fires in South and Southeast Asian Countries

(2019) Krishna Prasad Vadrevu et al.   Scientific Reports

A review of quantification methodologies for multi-hazard interrelationships

(2019) Aloïs Tilloy et al.   EARTH-SCIENCE REVIEWS

Evaluation of CMIP5 Global Climate Models for Simulating Climatological Temperature and Precipitation for Southeast Asia

(2019) Suchada Kamworapan et al.   Advances in Meteorology

Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?

(2019) Hamid Reza Pourghasemi et al.   Geoscience Frontiers

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

Evaluating the effects of forest fire on water balance using fire susceptibility maps

(2019) K. Venkatesh et al.   ECOLOGICAL INDICATORS

Wildfire effects on forest structure of Pinus merkusii in Sumatra, Indonesia

(2019) Diny Hartiningtias et al.   FOREST ECOLOGY AND MANAGEMENT

Review of Wildfire Management Techniques—Part I: Causes, Prevention, Detection, Suppression, and Data Analytics

(2019) Saeed Jazebi et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia’s Peatlands

(2019) Yenni Vetrita et al.   Remote Sensing

GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam

(2019) Viet-Tien Nguyen et al.   Sustainability

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study

(2018) Alaa M. Al-Abadi   Arabian Journal of Geosciences

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi et al.   CATENA

Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study

(2018) Nguyen Ngoc Thach et al.   Ecological Informatics

Bagging based Support Vector Machines for spatial prediction of landslides

(2018) Binh Thai Pham et al.   Environmental Earth Sciences

Wildfire susceptibility mapping: Deterministic vs. stochastic approaches

(2018) Michael Leuenberger et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

Accelerating forest loss in Southeast Asian Massif in the 21st century: A case study in Nan Province, Thailand

(2018) Zhenzhong Zeng et al.   GLOBAL CHANGE BIOLOGY

Pan-European landslide susceptibility mapping: ELSUS Version 2

(2018) Martina Wilde et al.   Journal of Maps

GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping

(2018) Shruti Sachdeva et al.   NATURAL HAZARDS

Highland cropland expansion and forest loss in Southeast Asia in the twenty-first century

(2018) Zhenzhong Zeng et al.   Nature Geoscience

TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015

(2018) John T. Abatzoglou et al.   Scientific Data

Increased fire hazard in human-modified wetlands in Southeast Asia

(2018) Muh Taufik et al.   AMBIO

Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods

(2018) Ho Gul Kim et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data

(2018) Mahyat Shafapour Tehrany et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

A Global Empirical Model for Near-Real-Time Assessment of Seismically Induced Landslides

(2018) M. A. Nowicki Jessee et al.   JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE

Evaluating the social and environmental factors behind the 2015 extreme fire event in Sumatra, Indonesia

(2018) Jocelyne Shimin Sze et al.   Environmental Research Letters

Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)

(2018) Yingxu Song et al.   ISPRS International Journal of Geo-Information

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Fire Distribution in Peninsular Malaysia, Sumatra and Borneo in 2015 with Special Emphasis on Peatland Fires

(2017) Jukka Miettinen et al.   ENVIRONMENTAL MANAGEMENT

Landslide Mapping and Assessment by Integrating Landsat-8, PALSAR-2 and GIS Techniques: A Case Study from Kelantan State, Peninsular Malaysia

(2017) Mazlan Hashim et al.   Journal of the Indian Society of Remote Sensing

A heuristic approach to global landslide susceptibility mapping

(2017) Thomas Stanley et al.   NATURAL HAZARDS

Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems

(2017) Miguel Conrado Valdez et al.   Geomatics Natural Hazards & Risk

Seasonal and interannual changes in vegetation activity of tropical forests in Southeast Asia

(2016) Yuan Zhang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Landslide susceptibility analysis in central Vietnam based on an incomplete landslide inventory: Comparison of a new method to calculate weighting factors by means of bivariate statistics

(2015) Markus Meinhardt et al.   GEOMORPHOLOGY

Spatial and temporal analysis of a global landslide catalog

(2015) Dalia Kirschbaum et al.   GEOMORPHOLOGY

Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)

(2015) Christian Conoscenti et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

(2015) Himan Shahabi et al.   Scientific Reports

Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data

(2014) Jukka Miettinen et al.   Global Ecology and Conservation

The new global lithological map database GLiM: A representation of rock properties at the Earth surface

(2012) Jens Hartmann et al.   GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS

A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen

(2011) ChenChao Xiao et al.   Science China-Technological Sciences

Human amplification of drought-induced biomass burning in Indonesia since 1960

(2009) Robert D. Field et al.   Nature Geoscience

Landslide susceptibility zonation mapping and its validation in part of Garhwal Lesser Himalaya, India, using binary logistic regression analysis and receiver operating characteristic curve method

(2008) John Mathew et al.   Landslides