Multi-hazard mapping of droughts and forest fires using a multi-layer hazards approach with machine learning algorithms
出版年份 2022 全文链接
标题
Multi-hazard mapping of droughts and forest fires using a multi-layer hazards approach with machine learning algorithms
作者
关键词
-
出版物
Geomatics Natural Hazards & Risk
Volume 13, Issue 1, Pages 2649-2673
出版商
Informa UK Limited
发表日期
2022-10-03
DOI
10.1080/19475705.2022.2128440
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Forest fire susceptibility assessment using google earth engine in Gangwon-do, Republic of Korea
- (2022) Yong Piao et al. Geomatics Natural Hazards & Risk
- Human-ignited fires result in more extreme fire behavior and ecosystem impacts
- (2022) Stijn Hantson et al. Nature Communications
- Logging elevated the probability of high-severity fire in the 2019–20 Australian forest fires
- (2022) David B. Lindenmayer et al. Nature Ecology & Evolution
- Spatial modeling of forest stand susceptibility to logging operations
- (2021) Saeid Shabani et al. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
- Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling
- (2020) Hamid Reza Pourghasemi et al. ENVIRONMENTAL RESEARCH
- Assessing and mapping multi-hazard risk susceptibility using a machine learning technique
- (2020) Hamid Reza Pourghasemi et al. Scientific Reports
- Prediction of droughts over Pakistan using machine learning algorithms
- (2020) Najeebullah Khan et al. ADVANCES IN WATER RESOURCES
- Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility
- (2020) Hossein Moayedi et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Prediction of coastal flooding risk under climate change impacts in South Korea using machine learning algorithms
- (2020) Sang-Jin Park et al. Environmental Research Letters
- Multi-hazard dependencies can increase or decrease risk
- (2020) John K. Hillier et al. Nature Climate Change
- A machine learning framework for multi-hazards modeling and mapping in a mountainous area
- (2020) Saleh Yousefi et al. Scientific Reports
- Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
- (2020) Binh Thai Pham et al. Symmetry-Basel
- Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria
- (2020) Thimmaiah Gudiyangada Nachappa et al. Remote Sensing
- Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea
- (2019) Chul-Hee Lim et al. Geomatics Natural Hazards & Risk
- Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment
- (2019) Harkiran Kaur et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Forest degradation promotes fire during drought in moist tropical forests of Ghana
- (2019) Francis K. Dwomoh et al. FOREST ECOLOGY AND MANAGEMENT
- Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam)
- (2019) Dieu Tien Bui et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Spatio-temporal Patterns of Land Use/Land Cover Change in the Heterogeneous Coastal Region of Bangladesh between 1990 and 2017
- (2019) Abu Yousuf Md Abdullah et al. Remote Sensing
- Droughts, Wildfires, and Forest Carbon Cycling: A Pantropical Synthesis
- (2019) Paulo M. Brando et al. Annual Review of Earth and Planetary Sciences
- Testing a New Ensemble Model Based on SVM and Random Forest in Forest Fire Susceptibility Assessment and Its Mapping in Serbia’s Tara National Park
- (2019) Ljubomir Gigović et al. Forests
- Determination of Vegetation Thresholds for Assessing Land Use and Land Use Changes in Cambodia using the Google Earth Engine Cloud-Computing Platform
- (2019) Venkatappa et al. Remote Sensing
- A review of quantification methodologies for multi-hazard interrelationships
- (2019) Aloïs Tilloy et al. EARTH-SCIENCE REVIEWS
- The human cost of global warming: Deadly landslides and their triggers (1995–2014)
- (2019) Ubydul Haque et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Clarifying Amazonia's burning crisis
- (2019) Jos Barlow et al. GLOBAL CHANGE BIOLOGY
- Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
- (2019) Yi Wang et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Multi-hazard probability assessment and mapping in Iran
- (2019) Hamid Reza Pourghasemi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?
- (2019) Hamid Reza Pourghasemi et al. Geoscience Frontiers
- Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers
- (2018) Abolfazl Jaafari et al. Ecological Informatics
- Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
- (2018) Kavina S. Dayal et al. NATURAL HAZARDS
- Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
- (2018) Wei Chen et al. CATENA
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- (2017) Noel Gorelick et al. REMOTE SENSING OF ENVIRONMENT
- Amplification of wildfire area burnt by hydrological drought in the humid tropics
- (2017) Muh Taufik et al. Nature Climate Change
- Assessment of the Impact of Climate Change on Drought Characteristics in the Hwanghae Plain, North Korea Using Time Series SPI and SPEI: 1981–2100
- (2017) Sang-Hyun Lee et al. Water
- Multi-hazard assessment in Europe under climate change
- (2016) Giovanni Forzieri et al. CLIMATIC CHANGE
- A review of the relationships between drought and forest fire in the United States
- (2016) Jeremy S. Littell et al. GLOBAL CHANGE BIOLOGY
- Drought hazard assessment in the context of climate change for South Korea
- (2015) Won-Ho Nam et al. AGRICULTURAL WATER MANAGEMENT
- Tree mortality predicted from drought-induced vascular damage
- (2015) William R. L. Anderegg et al. Nature Geoscience
- Reviewing and visualizing the interactions of natural hazards
- (2014) Joel C. Gill et al. REVIEWS OF GEOPHYSICS
- Drought risk assessment using remote sensing and GIS techniques
- (2012) Abdel-Aziz Belal et al. Arabian Journal of Geosciences
- Representation of Soil Moisture Feedbacks during Drought in NASA Unified WRF (NU-WRF)
- (2012) Benjamin F. Zaitchik et al. JOURNAL OF HYDROMETEOROLOGY
- Challenges of analyzing multi-hazard risk: a review
- (2012) Melanie S. Kappes et al. NATURAL HAZARDS
- Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques
- (2012) Hamed Adab et al. NATURAL HAZARDS
- The influence of fuels treatment and landscape arrangement on simulated fire behavior, Southern Cascade range, California
- (2008) David A. Schmidt et al. FOREST ECOLOGY AND MANAGEMENT
- A working guide to boosted regression trees
- (2008) J. Elith et al. JOURNAL OF ANIMAL ECOLOGY
- Terrestrial ecosystem carbon dynamics and climate feedbacks
- (2008) Martin Heimann et al. NATURE
- Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India
- (2007) V. Krishna Prasad et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started