1
Wildfire detection using transfer learning on augmented datasets
2
Mesoscale spatiotemporal predictive models of daily human- and lightning-caused wildland fire occurrence in British Columbia
3
3D Parallel Fully Convolutional Networks for Real-Time Video Wildfire Smoke Detection
4
Machine learning models accurately predict ozone exposure during wildfire events.
5
An Attention Enhanced Bidirectional LSTM for Early Forest Fire Smoke Recognition
6
Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability
7
Detection of Wildfire Smoke Images Based on a Densely Dilated Convolutional Network
8
Machine learning to predict final fire size at the time of ignition
9
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
10
Burn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data
11
Modeling wildfire spread in wildland-industrial interfaces using dynamic Bayesian network
12
Vegetation and Soil Fire Damage Analysis Based on Species Distribution Modeling Trained with Multispectral Satellite Data
13
FireCast: Leveraging Deep Learning to Predict Wildfire Spread
14
Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach
15
Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches
16
SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention
17
Roadside vegetation planning and conservation: New approach to prevent and mitigate wildfires based on fire ignition potential
18
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
19
Wildfire Flame and Smoke Detection Using Static Image Features and Artificial Neural Network
20
Assessing Landscape Fire Hazard by Multitemporal Automatic Classification of Landsat Time Series Using the Google Earth Engine in West-Central Spain
21
Inferring causation from time series in Earth system sciences
22
Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment
23
Contrasting human influences and macro-environmental factors on fire activity inside and outside protected areas of North America
24
Scientists’ warning on wildfire — a Canadian perspective
25
Modeling initial attack success of wildfire suppression in Catalonia, Spain.
26
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
27
Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables
28
The relative influence of climate and housing development on current and projected future fire patterns and structure loss across three California landscapes
29
Fire Detection from Images Using Faster R-CNN and Multidimensional Texture Analysis
30
Fire and life history affect the distribution of plant species in a biodiversity hotspot
31
Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data.
32
Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles
33
Consequences of climatic thresholds for projecting fire activity and ecological change
34
Developing and testing models of the drivers of anthropogenic and lightning-caused wildfire ignitions in south-eastern Australia.
35
Smoke detection in a digital image with the use of convolutional network
36
Wildland Fire Spread Modeling Using Convolutional Neural Networks
37
Statistical Models of Key Components of Wildfire Risk
38
Using artificial neural networks to predict future dryland responses to human and climate disturbances
39
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
40
Predictive modeling of wildfires: A new dataset and machine learning approach
41
Environmental drivers of fire severity in extreme fire events that affect Mediterranean pine forest ecosystems
42
Predicting wildfire vulnerability using logistic regression and artificial neural networks: a case study in Brazil's Federal District
43
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
44
Deep learning and process understanding for data-driven Earth system science
45
Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models
46
Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables
47
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
48
Forest fire image recognition based on convolutional neural network
49
Modelling temporal variation of fire-occurrence towards the dynamic prediction of human wildfire ignition danger in northeast Spain
50
S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
51
Multi-sensor, multi-scale, Bayesian data synthesis for mapping within-year wildfire progression
52
Impact of the North American monsoon on wildfire activity in the southwest United States
53
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
54
Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine Learning
55
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets
56
Distribution of wildland fires and possible hotspots for the Zimbabwean component of Kavango-Zambezi Transfrontier Conservation Area
57
Flood Prediction Using Machine Learning Models: Literature Review
58
Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach
59
Machine Learning Approach To Estimate Hourly Exposure to Fine Particulate Matter for Urban, Rural, and Remote Populations during Wildfire Seasons.
60
Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning
61
Detection of Wildfires along Transmission Lines Using Deep Time and Space Features
62
The utility of Random Forests for wildfire severity mapping
63
Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic
64
Estimating Forest Fire Losses Using Stochastic Approach: Case Study of the Kroumiria Mountains (Northwestern Tunisia)
65
A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data
66
Evaluation of Image Spatial Resolution for Machine Learning Mapping of Wildland Fire Effects
67
Forest fire characteristics in China: Spatial patterns and determinants with thresholds
68
Random subset feature selection for ecological niche models of wildfire activity in Western North America
69
The Collection 6 MODIS burned area mapping algorithm and product
70
Early wildfire smoke detection based on improved codebook model and convolutional neural networks
71
Study on Most Important Factor and Most Vulnerable Location for a Forest Fire Case Using Various Machine Learning Techniques
72
Fire in sub‐Saharan Africa: The fuel, cure and connectivity hypothesis
73
Fire regimes at the arid fringe: A 16-year remote sensing perspective (2000–2016) on the controls of fire activity in Namibia from spatial predictive models
74
Application of machine-learning methods in forest ecology: recent progress and future challenges
75
Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study
76
Assessing the suitability of soft computing approaches for forest fires prediction
77
Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China.
78
Prognostic Validation of a Neural Network Unified Physics Parameterization
79
Indicator-based assessment of post-fire recovery dynamics using satellite NDVI time-series
80
Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape.
81
Neural networks for post-processing ensemble weather forecasts
82
Forest fire forecasting using ensemble learning approaches
83
Archetypes of Wildfire Arsonists: An Approach by Using Bayesian Networks
84
Wildland fires detection and segmentation using deep learning
85
Model-specification uncertainty in future area burned by wildfires in Canada
86
Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images
87
High-severity fire: evaluating its key drivers and mapping its probability across western US forests
88
GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping
89
Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape
90
Wildfire‐mediated vegetation change in boreal forests of Alberta, Canada
91
Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite
92
Wildfire susceptibility mapping: Deterministic vs. stochastic approaches
93
Saliency Detection and Deep Learning-Based Wildfire Identification in UAV Imagery
94
Some Requirements for Simulating Wildland Fire Behavior Using Insight from Coupled Weather—Wildland Fire Models
95
Fire and Climate Suitability for Woody Vegetation Communities in the South Central United States
96
Circumpolar spatio-temporal patterns and contributing climatic factors of wildfire activity in the Arctic tundra from 2001–2015
97
Autonomous Distributed Wildfire Surveillance using Deep Reinforcement Learning
98
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework
99
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
100
A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1)
101
Early fire detection using convolutional neural networks during surveillance for effective disaster management
102
Google Earth Engine: Planetary-scale geospatial analysis for everyone
103
Modeling anthropogenic and natural fire ignitions in an inner-alpine valley
104
Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires
105
Machine Learning for the Geosciences: Challenges and Opportunities
106
Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.
107
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data
108
Fire Regimes and Their Drivers in the Upper Guinean Region of West Africa
109
Previous burns and topography limit and reinforce fire severity in a large wildfire
110
Data mining of correlation between fire disturbance habitat factors and spider communities
111
Frequent wildfires erode tree persistence and alter stand structure and initial composition of a fire‐tolerant sub‐alpine forest
112
Evaluation of Texture as an Input of Spatial Context for Machine Learning Mapping of Wildland Fire Effects
113
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
114
Regularization for Deep Learning: A Taxonomy
115
Evidence of fuels management and fire weather influencing fire severity in an extreme fire event.
116
Spatial interactions and optimal forest management on a fire-threatened landscape
117
Regression Tree Modeling of Spatial Pattern and Process Interactions
118
Mapping burned areas using dense time-series of Landsat data
119
Development of a Web GIS System Based on the MaxEnt Approach for Wildfire Management: A Case Study of East Azerbaijan
120
Automated prediction of extreme fire weather from synoptic patterns in northern Alberta, Canada
121
Hidden physics models: Machine learning of nonlinear partial differential equations
122
Interpretability of deep learning models: A survey of results
123
Bayesian networks elucidate interactions between fire and other drivers of terrestrial fauna distributions
124
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
125
An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management
126
Classification of Australian Thunderstorms Using Multivariate Analyses of Large-Scale Atmospheric Variables
127
AI summit aims to help world’s poorest
128
Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
129
Incorporating fine-scale drought information into an eastern US wildfire hazard model
130
A data-driven approach to assess large fire size generation in Greece
131
A Comparison between Spatial Econometric Models and Random Forest for Modeling Fire Occurrence
132
Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms
133
Climatic thresholds shape northern high‐latitude fire regimes and imply vulnerability to future climate change
134
Reconstructing grassland fire history using sedimentary charcoal: Considering count, size and shape
135
The normal fire environment—Modeling environmental suitability for large forest wildfires using past, present, and future climate normals
136
Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data
137
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
138
Fast Optimization of Wildfire Suppression Policies with SMAC
139
Forest fire spread simulating model using cellular automaton with extreme learning machine
140
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
141
Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation
142
Probabilistic prediction of wildfire economic losses to housing in Cyprus using Bayesian network analysis
143
Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems
144
Using efficient parallelization in Graphic Processing Units to parameterize stochastic fire propagation models
145
Wildfire Predictions: Determining Reliable Models using Fused Dataset
146
Differential neural network approach in information process for prediction of roadside air pollution by peat fire
147
Modeling Anthropogenic Fire Occurrence in the Boreal Forest of China Using Logistic Regression and Random Forests
148
Does increased forest protection correspond to higher fire severity in frequent‐fire forests of the western United States?
149
Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks
150
Modelling fire probability in the Brazilian Amazon using the maximum entropy method
151
Biophysical and lightning characteristics drive lightning-induced fire occurrence in the central plateau of the Iberian Peninsula
152
Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem
153
Forest fire management expenditures in Canada: 1970–2013
154
Multitemporal Modelling of Socio-Economic Wildfire Drivers in Central Spain between the 1980s and the 2000s: Comparing Generalized Linear Models to Machine Learning Algorithms
155
Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks
156
A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
157
PSO trained Neural Networks for predicting forest fire size: A comparison of implementation and performance
158
Modelling the spatial patterns of ignition causes and fire regime features in southern France: implications for fire prevention policy
159
Setting priorities for private land conservation in fire-prone landscapes: Are fire risk reduction and biodiversity conservation competing or compatible objectives?
160
Cloud detection of remote sensing images by deep learning
161
Bottom-Up Variables Govern Large-Fire Size in Portugal
162
Model-Agnostic Interpretability of Machine Learning
163
What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests
164
Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques
165
Ensemble lightning prediction models for the province of Alberta, Canada
166
Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments
167
Current and Future Fire Regimes and Their Influence on Natural Vegetation in Ethiopia
168
Fire Risk Assessment Using Neural Network and Logistic Regression
169
Modelling Variable Fire Severity in Boreal Forests: Effects of Fire Intensity and Stand Structure
170
How will climate change affect wildland fire severity in the western US?
171
Analysis of factors influencing deployment of fire suppression resources in Spain using artificial neural networks
172
Big data integration shows Australian bush-fire frequency is increasing significantly
173
Unraveling the relative importance of factors driving post-fire regeneration trajectories in non-serotinous Pinus nigra forests
174
Deep Convolutional Neural Networks for Forest Fire Detection
175
Cover density recovery after fire disturbance controls landscape aboveground biomass carbon in the boreal forest of eastern Canada
176
Direct and indirect effects of climate change on projected future fire regimes in the western United States.
177
An Interval Tree Approach to Predict Forest Fires using Meteorological Data
178
Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure
179
Wildland fire deficit and surplus in the western United States, 1984–2012
180
Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics
181
Early post-fire regeneration of a fire-prone subtropical mixed Yunnan pine forest in Southwest China: Effects of pre-fire vegetation, fire severity and topographic factors
182
GPU-accelerated multi-objective optimization of fuel treatments for mitigating wildfire hazard
183
Predicting the flame characteristics and rate of spread in fires propagating in a bed of Pinus pinaster using Artificial Neural Networks
184
Climatic and Landscape Influences on Fire Regimes from 1984 to 2010 in the Western United States
185
How a new fire-suppression policy can abruptly reshape the fire-weather relationship
186
Post-fire vegetation and fuel development influences fire severity patterns in reburns.
187
The quiet revolution of numerical weather prediction
188
Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina.
189
Lengthening the historical records of fire history over large areas of boreal forest in eastern Canada using empirical relationships
190
Defining fire environment zones in the boreal forests of northeastern China.
191
Evaluating Crown Fire Rate of Spread Predictions from Physics-Based Models
192
Predictive modelling of fire occurrences from different fire spread patterns in Mediterranean landscapes
193
Building Rothermel fire behaviour fuel models by genetic algorithm optimisation
194
Reducing the risk of house loss due to wildfires
195
A Review of Recent Forest and Wildland Fire Management Decision Support Systems Research
196
Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat Time Series
197
Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data
198
Modeling Forest Lightning Fire Occurrence in the Daxinganling Mountains of Northeastern China with MAXENT
199
Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach
200
Fire Severity in a Large Fire in a Pinus pinaster Forest is Highly Predictable from Burning Conditions, Stand Structure, and Topography
201
Spatiotemporal prediction of fine particulate matter during the 2008 northern California wildfires using machine learning.
202
Modelling the Meteorological Forest Fire Niche in Heterogeneous Pyrologic Conditions
203
Understanding fire patterns and fire drivers for setting a sustainable management policy of the New-Caledonian biodiversity hotspot
204
Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery
205
Utilizing random forests imputation of forest plot data for landscape-level wildfire analyses
206
Severity of an uncharacteristically large wildfire, the Rim Fire, in forests with relatively restored frequent fire regimes
207
Relative effects of climatic and local factors on fire occurrence in boreal forest landscapes of northeastern China.
208
Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests
209
An analysis of controls on fire activity in boreal Canada: comparing models built with different temporal resolutions.
210
A comparison of Gaussian process regression, random forests and support vector regression for burn severity assessment in diseased forests
211
A case study in preferential sampling: Long term monitoring of air pollution in the UK
212
A scoping review of scoping reviews: advancing the approach and enhancing the consistency
213
Modeling Climate-Fire Connections within the Great Basin and Upper Colorado River Basin, Western United States
214
An insight into machine-learning algorithms to model human-caused wildfire occurrence
215
Studying the method of adaptive prediction of forest fire evolution on the basis of recurrent neural networks
216
Quantifying ecological drivers of ecosystem productivity of the early‐successional boreal Larix gmelinii forest
217
Predicting Size of Forest Fire Using Hybrid Model
218
Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time
219
Landscape‐scale modeling of reference period forest conditions and fire behavior on heavily logged lands
220
Prediction for Burned Area of Forest Fires Based on SVM Model
221
Reducing wildfire risk to urban developments: Simulation of cost-effective fuel treatment solutions in south eastern Australia
222
Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
223
Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms
224
Spatial interpolation of McArthur's Forest Fire Danger Index across Australia: Observational study
225
Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery
226
Assessing Post-Fire Regeneration in a Mediterranean Mixed Forest Using Lidar Data and Artificial Neural Networks
227
Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data
228
Wildfire Prediction to Inform Fire Management: Statistical Science Challenges
229
Post-fire tree recruitment of a boreal larch forest in Northeast China
230
Climate change‐induced shifts in fire for Mediterranean ecosystems
231
Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions
232
Wildfire hazard mapping: exploring site conditions in eastern US wildland–urban interfaces
233
Land Use Planning and Wildfire: Development Policies Influence Future Probability of Housing Loss
234
Applied Predictive Modeling
235
Adaptive prediction of forest fire behavior on the basis of recurrent neural networks
236
Estimating future burned areas under changing climate in the EU-Mediterranean countries.
237
Wildfire ignition-distribution modelling: a comparative study in the Huron-Manistee National Forest, Michigan, USA
238
The state of development of fire management decision support systems in America and Europe
239
Predictive Models for Hotspots Occurrence using Decision Tree Algorithms and Logistic Regression
240
Identifying the Threshold of Dominant Controls on Fire Spread in a Boreal Forest Landscape of Northeast China
241
Application of artificial neural networks and logistic regression to the prediction of forest fire danger in Galicia using MODIS data
242
Self-Organizing Maps: A Powerful Tool for the Atmospheric Sciences
243
Burned area mapping in Mediterranean environment using medium-resolution multi-spectral data and a neuro-fuzzy classifier
244
FIREMON: Fire Effects Monitoring and Inventory System
245
Reconstructing spatial vulnerability to forest loss by fire in pre‐historic New Zealand
246
Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction
247
Use of random forests for modeling and mapping forest canopy fuels for fire behavior analysis in Lassen Volcanic National Park, California, USA
248
Spatial Variation in Postfire Cheatgrass: Dinosaur National Monument, USA
249
Spatial variability in wildfire probability across the western United States
250
Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India
251
Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
252
Climate change and disruptions to global fire activity
253
A review of operations research methods applicable to wildfire management
254
Housing Arrangement and Location Determine the Likelihood of Housing Loss Due to Wildfire
255
Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS)
256
Does the interpolation accuracy of species distribution models come at the expense of transferability
257
Fire regime shifts affect bird species distributions
258
Estimating the risk of fire outbreaks in the natural environment
259
Application of machine learning methods to spatial interpolation of environmental variables
260
Computational Sustainability
261
Regional forest-fire susceptibility analysis in central Portugal using a probabilistic ratings procedure and artificial neural network weights assignment
262
Potential shifts in dominant forest cover in interior Alaska driven by variations in fire severity.
263
Prototyping an artificial neural network for burned area mapping on a regional scale in Mediterranean areas using MODIS images
264
Global and regional analysis of climate and human drivers of wildfire.
265
Efficient forest fire occurrence prediction for developing countries using two weather parameters
266
Fire detection model in Tibet based on grey-fuzzy neural network algorithm
267
Uncertainty and risk in wildland fire management: a review.
268
Pattern clustering of forest fires based on meteorological variables and its classification using hybrid data mining methods
269
Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules
270
Application of Bayesian networks for fire risk mapping using GIS and remote sensing data
271
Classification model for hotspot occurrences using a decision tree method
272
An effective technique to detect forest fire region through ANFIS with spatial data
273
Burnt area delineation from a uni-temporal perspective based on Landsat TM imagery classification using Support Vector Machines
274
A statistical explanation of MaxEnt for ecologists
275
A smart forest-fire early detection sensory system: Another approach of utilizing wireless sensor and neural networks
276
Scoping studies: advancing the methodology
277
Artificial intelligence for forest fire prediction
278
Early fire detection algorithm based on irregular patterns of flames and hierarchical Bayesian Networks
279
Artificial Intelligence: Foundations of Computational Agents
280
Changes in fire regime break the legacy lock on successional trajectories in Alaskan boreal forest
281
Geostatistical inference under preferential sampling
282
Combining ASTER multispectral imagery analysis and support vector machines for rapid and cost-effective post-fire assessment: a case study from the Greek wildland fires of 2007
283
Factors associated with crown damage following recurring mixed-severity wildfires and post-fire management in southwestern Oregon
284
An Intelligent System For Effective Forest Fire Detection Using Spatial Data
285
A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland
286
Change Detection in Satellite Images Using a Genetic Algorithm Approach
287
A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large southwestern US wilderness area
288
Artificial neural network approach for modeling the impact of population density and weather parameters on forest fire risk
289
Data driven approach to estimating fire danger from satellite images and weather information
290
Assessment of Post-fire Soil Erosion Risk in Fire-Affected Watersheds Using Remote Sensing and GIS
291
Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks
292
Identifying wildland fire ignition factors through sensitivity analysis of a neural network
293
Injecting Dynamic Real-Time Data into a DDDAS for Forest Fire Behavior Prediction
294
An automatic method for burn scar mapping using support vector machines
295
Environmental controls on the distribution of wildfire at multiple spatial scales
296
Integrated Spatio‐temporal Data Mining for Forest Fire Prediction
297
An Adaptive System for Forest Fire Behavior Prediction
298
Analysis of Different Methods for Burnt Area Estimation using Remote Sensing and Ground Truth Data
299
A working guide to boosted regression trees.
300
Machine Learning Methods Without Tears: A Primer for Ecologists
301
A multi-scale approach for modeling fire occurrence probability using satellite data and classification trees: A case study in a mountainous Mediterranean region
302
A data mining approach to predict forest fires using meteorological data
303
Integrating new methods and tools in fire danger rating
304
Wildland surface fire spread modelling, 1990–2007. 2: Empirical and quasi-empirical models
305
A review of wildland fire spread modelling, 1990-present 3: Mathematical analogues and simulation models
306
A review of wildland fire spread modelling, 1990-present, 1: Physical and quasi-physical models
307
Assessing long‐term fire risk at local scale by means of decision tree technique
308
AbstractBurnt area mapping using Support Vector Machines
309
Synoptic climatology of extreme fire‐weather conditions across the southwest United States
310
Modelling and analysis of the atmospheric nitrogen deposition in North Carolina
311
Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems.
312
Estimation of Fuel Moisture Content Using Neural Networks
313
The challenge of quantitative risk analysis for wildland fire
314
A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation
315
Scoping studies: towards a methodological framework
316
A classification of landscape fire succession models: spatial simulations of fire and vegetation dynamics
317
Development of neural network committee machines for automatic forest fire detection using lidar
318
Learning and evaluating classifiers under sample selection bias
319
Multi-objective optimisation of lidar parameters for forest-fire detection on the basis of a genetic algorithm
320
Determination of Burnt Scars Using Logistic Regression and Neural Network Techniques from a Single Post-Fire Landsat-7 ETM+ Image
321
Neural Network Based Recognition of Smoke Signatures from Lidar Signals
322
A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation
323
An intelligent system for forest fire risk prediction and fire fighting management in Galicia
324
The Elements of Statistical Learning
325
Gaussian Processes in Machine Learning
326
Assessing the feasibility of sub-pixel burned area mapping in miombo woodlands of northern Mozambique using MODIS imagery
327
Studying wildfire behavior using FIRETEC
328
A Neural Network Approach for Forestal Fire Risk Estimation
329
A 500 hPa synoptic wildland fire climatology for large Canadian forest fires, 1959–1996
330
Integrated Fire Evolution Monitoring System (IFEMS) for monitoring spatial-temporal behaviour of multiple fire phenomena
331
Greedy function approximation: A gradient boosting machine.
332
Evolving forest fire burn severity classification algorithms for multispectral imagery
333
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
334
Burned area mapping system and fire detection system, based on neural networks and NOAA-AVHRR imagery
335
Forest fire analysis with remote sensing data
336
An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection
337
Long Short-Term Memory
338
A decision-theoretic generalization of on-line learning and an application to boosting
339
The Lack of A Priori Distinctions Between Learning Algorithms
340
C4.5: Programs for Machine Learning (書評)
341
ANFIS: adaptive-network-based fuzzy inference system
342
C4.5: Programs for Machine Learning
343
An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
344
Neural Networks and the Bias/Variance Dilemma
345
Artificial intelligence: a new tool for forest management.
346
Transferring scientific knowledge to natural resource managers using artificial intelligence concepts
348
Wildfire management in Canada: Review, challenges and opportunities
349
Machine Learning in Geosciences
350
Atmospheric cascades shape wildfire fire management decision spaces a theory unifying
351
may). Fire Detection from Images
352
MAKING THE BLACK BOX MORE TR ANSPARENT Understanding the Physical Implications of Machine Learning
353
Remote Sensing meets Deep Learning: Exploiting Spatio-Temporal-Spectral Satellite Images for Early Wildfire Detection
354
Factors Influencing Regional-Scale Wildfire Probability in Iran
355
A Neural Network Model for Wildfire Scale Prediction Using Meteorological Factors
356
jul). Fire and life history
357
feb). Physics-informed neural networks: A deep
358
jul). SmokeNet: Satellite Smoke Scene
359
CNN, RF, SVM, ANN Yunnan Province, China S.3.4 Landscape controls on fire Citation
360
may). Testing a New Ensemble Model Based
361
oct). Wildfire Flame and Smoke Detection
362
jan). Distribution of wildland
363
may). Analysis of machine
364
jul). Roadside vegetation planning
365
jul). Spatial pattern assessment of tropical forest fire danger at Thuan Chau area
366
Wildland Forest Fire Smoke Detection Based on Faster R-CNN using Synthetic Smoke Images
367
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers
368
aug). Fire regimes at the arid fringe: A 16-year remote
369
oct). The utility of Random Forests
370
nov). Machine Learning Approach
371
mar). Predicting the minimum height of forest fire smoke within the atmo
373
dec). Remote sensing quantifies
374
aug). Early wildfire smoke detection based on
375
nov). Estimating Evapotranspiration
376
mar). Modeling anthropogenic
377
nov). Assessing fire hazard
378
sep). Estimating Forest Fire Losses Using Stochastic Approach
379
sep). Forest fire characteristics in China: Spatial
380
sep). Intercomparison of machine learning methods
381
oct). Flood Prediction
382
Fire weather and likelihood: characterizing climate space for fire occurrence and extent in Puerto Rico
383
Fire dynamics under monsoonal climate in Yunnan, SW China: past, present and future
384
Fire Risk Prediction Using Remote Sensed Products: A Case of Cambodia
385
apr). Reconstructing grassland fire history
386
may). Climatic thresholds shape northern
387
apr). The normal fire environmentModeling
388
Learning Forest Wildfire Dynamics from Satellite Images Using Reinforcement Learning
390
may). Deep Learning Classification
391
NFM, PSO, RF, SVM Lam Dong province, Vietnam
393
may). A Comparison between Spatial Econometric
394
feb). Deep Learning for solar power forecasting
395
nov). DeepRain: ConvLSTM Network for Precipitation
396
Fast Simulation for Computational Sustainability Sequential Decision Making Problems
397
Error Function Impact in Dynamic Data-Driven Framework Applied to Forest Fire Spread Prediction
398
Machine learning in geosciences and remote sensing
399
Inference of Replanting in Forest Fire Affected Land Using Data Mining Technique
400
apr). Ensemble lightning prediction
401
jan). Direct and indirect effects of climate change
403
may). What drives forest fire
404
jan). Cover density recovery after fire disturbance controls landscape
405
dec). Mixed severity fire effects within the Rim fire: Relative importance
406
Forest Fire Detection Using Artificial Neural Network Algorithm Implemented in Wireless Sensor Networks
407
Fire hazard modelling in Southern Africa
408
A NOTE ON THE CONSISTENT ESTIMATION OF SPATIAL-TEMPORAL POINT PROCESS PARAMETERS
409
Optimizing watchtower locations for forest fire monitoring using location models
411
aug). Use of Vegetation Change Tracker and Support Vector
412
apr). Modeling Forest Lightning Fire Occurrence in the Daxin
413
nov). Predicting the flame
414
The eBird enterprise: An integrated approach to development and application of citizen science
415
Fire effects on seedling establishment success across treeline: implications for future tree migration and flammability in a changing climate
416
apr). Response time assessment in forest fire spread
417
sep). Relative effects of climatic and local
418
jul). Studying the method of adaptive
419
jan). Long-term SPI drought
420
aug). Modeling Climate-Fire Connections within
421
sep). Using multi variate data mining techniques
422
Estimating Basal Area of Spruce and Fir in Post-Fire Residual Stands in Central Siberia Using Quickbird, Feature Selection, and Random Forests
423
Learning a Bayesian network model for predicting wildfire behavior
424
Prediction of forest fires using Artificial neural networks
425
Global Analysis of Influencing Forces of Fire Activity: the Threshold Relationships between Vegetation and Fire
426
An Introduction to Reinforcement Learning
427
aug). Wildfire hazard mapping
428
apr). Wildfire ignition
429
dec). Spatial interpolation of McArthur’s
430
oct). Climate change-induced
431
Machine learning - a probabilistic perspective
432
Genetic Algorithm Characterization for the Quality Assessment of Forest Fire Spread Prediction
433
Estimation of the Burned Area in Forest Fires Using Computational Intelligence Techniques
434
mar). Fire regime shifts affect
435
may). A review of operations research methods
436
mar). Does the interpolation accuracy of species
437
jul). Environmental susceptibility
438
mar). Estimating the risk
439
Bayes Nets as a method for analysing the influence of management actions in fire planning
440
SVM based forest fire detection using static and dynamic features
441
A Performance Evaluation Of Support Vector Machines And The Nearest Neighbor Classifier In Classifying Image Objects For Burned Area Mapping
442
feb). Burnt area delineation from a uni
444
may). Factors associated with crown damage following recurring
445
jun). Early fire detection algorithm based on irregular
446
feb). An automatic method for burn
447
DSCC2009 (PART A), 111–118
448
Generation of Optimal Fire-Line for Fighting Wildland Fires Using Genetic Algorithms
449
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
450
jul). Identifying wildland fire ignition
451
oct). Assessment of Post-fire Soil Erosion
452
An Autonomous Forest Fire Detection System Based On Spatial Data Mining and Fuzzy Logic
453
What limits fire? An examination of drivers of burnt area in Southern Africa
454
mar). A multi-scale approach for modeling
455
Exploring the relationships of fire occurrence variables by means of CART and MARS models
456
BMC Bioinformatics BioMed Central Methodology article
457
dec). Bias in random forest variable
458
Multi-objective Optimisation
459
LEARNING TO PREDICT FOREST FIRES WITH DIFFERENT DATA MINING TECHNIQUES
460
Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques
461
The BRIDGE NATIONAL ACADEMY OF ENGINEERING
462
Forest-fire detection by means of lidar.
463
APPLICATION OF ARTIFICIAL INTELLIGENCE TO RISK ANALYSIS FOR FORESTED ECOSYSTEMS
464
Spatial Prediction of Fire Ignition Probabilities: Comparing Logistic Regression and Neural Networks
465
Automatic Detection of Fire Smoke Using Artificial Neural Networks and Threshold Approaches Applied to AVHRR Imagery
466
jan). Burned area mapping system and fire detection
467
Classification and Regression Trees
468
Integrated fire risk mapping
469
TOWARD A THEORY OF MESO-SCALE WILDFIRE MODELING-A COMPLEX SYSTEMS APPROACH USING ARTIFICIAL NEURAL NETWORKS
470
FARSITE : Fire Area Simulator : model development and evaluation
471
Early post-fire regeneration of machines. IEEE Intelligent Systems and their applications
472
SVMs—a practical consequence of learning theory
473
Reinforcement Learning: An Introduction
474
The Lack of A Priori Distinctions Between Learning Algorithms
475
An introduction to genetic algorithms
476
Applying neural network technology to human-2776 caused wildfire occurrence prediction
477
Fire Severity, Changing Scales, and How Things Hang Together
478
Theory of the backpropagation neural network
479
Probabilistic reasoning in intelligent systems - networks of plausible inference
480
Chapter 2 – BAYESIAN INFERENCE
481
Development and structure of the Canadian Forest Fire Weather Index System
482
Artificial Intelligence Applications to Fire Management
483
Developing a fire management expert system for Kakadu National Park, Australia
485
Some methods for classification and analysis of multivariate observations
486
An-2529 drew Slavin Ross
487
Gurutzeta Guillera-Arroita, Sev-2507 erin Hauenstein
488
Forest Fire Smoke Detection Using Back-2137
490
Machine Learning-Based Integration of High-Resolution 2912
491
WA-TERSHED ROAD NETWORK ANALYSIS WITH AN EMPHASIS ON FIRE FIGHTING MAN-AGEMENT
492
This Just-IN manuscript is the accepted manuscript prior to copy editing and page composition
493
Severity of an uncharacteristically large wiley
