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@article{bb260450,
        AUTHOR = "Mathews, L.E.H. and Kinoshita, A.M.",
        TITLE = "Urban Fire Severity and Vegetation Dynamics in Southern California",
        JOURNAL = RS,
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        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255214"}

@article{bb260451,
        AUTHOR = "Sulova, A. and Arsanjani, J.J.",
        TITLE = "Exploratory Analysis of Driving Force of Wildfires in Australia:
An Application of Machine Learning within Google Earth Engine",
        JOURNAL = RS,
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        YEAR = "2021",
        NUMBER = "1",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255215"}

@article{bb260452,
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        TITLE = "Regional Modeling of Forest Fuels and Structural Attributes Using
Airborne Laser Scanning Data in Oregon",
        JOURNAL = RS,
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        YEAR = "2021",
        NUMBER = "2",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255216"}

@article{bb260453,
        AUTHOR = "Revilla, S. and Lamelas, M.T. and Domingo, D. and de la Riva, J. and Montorio, R. and Montealegre, A.L. and Garcia Martin, A.",
        TITLE = "Assessing the Potential of the DART Model to Discrete Return LiDAR
Simulation: Application to Fuel Type Mapping",
        JOURNAL = RS,
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        NUMBER = "3",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255217"}

@article{bb260454,
        AUTHOR = "Smith, C.W. and Panda, S.K. and Bhatt, U.S. and Meyer, F.J.",
        TITLE = "Improved Boreal Forest Wildfire Fuel Type Mapping in Interior Alaska
Using AVIRIS-NG Hyperspectral Data",
        JOURNAL = RS,
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        NUMBER = "5",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255218"}

@article{bb260455,
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        TITLE = "Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved
Wildfire Fuel Mapping, Boreal Alaska",
        JOURNAL = RS,
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        NUMBER = "9",
        PAGES = "xx-yy",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255219"}

@article{bb260456,
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        TITLE = "Forest Fuel Loads Estimation from Landsat ETM+ and ALOS PALSAR Data",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255220"}

@article{bb260457,
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Random Sampling Inventory Data through Cokriging and Multiple Linear
Regression Methods",
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@article{bb260458,
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Fires in Heilongjiang, Northeast China",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255222"}

@article{bb260459,
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        TITLE = "Machine Learning Techniques for Fine Dead Fuel Load Estimation Using
Multi-Source Remote Sensing Data",
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@article{bb260460,
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        TITLE = "Wildland Fire Susceptibility Mapping Using Support Vector Regression
and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization
Algorithm and Simulated Annealing",
        JOURNAL = IJGI,
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        NUMBER = "6",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255224"}

@article{bb260461,
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A Spatial Deep Neural Network-Based Framework",
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@article{bb260462,
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        TITLE = "Forest Fire Hazards Vulnerability and Risk Assessment in Sirmaur
District Forest of Himachal Pradesh (India): A Geospatial Approach",
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@article{bb260463,
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        TITLE = "Relationship between Fire Events and Land Use Changes in the State of
São Paulo, Brazil",
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@article{bb260464,
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Types for Fire Research",
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@article{bb260465,
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        TITLE = "Empirical Models for Spatio-Temporal Live Fuel Moisture Content
Estimation in Mixed Mediterranean Vegetation Areas Using Sentinel-2
Indices and Meteorological Data",
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@article{bb260466,
        AUTHOR = "Zhao, P.C. and Zhang, F. and Lin, H.F. and Xu, S.",
        TITLE = "GIS-Based Forest Fire Risk Model: A Case Study in Laoshan National
Forest Park, Nanjing",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255230"}

@article{bb260467,
        AUTHOR = "Park, M.S. and Tran, D.Q. and Lee, S. and Park, S.",
        TITLE = "Multilabel Image Classification with Deep Transfer Learning for
Decision Support on Wildfire Response",
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@article{bb260468,
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        TITLE = "Can Neural Networks Forecast Open Field Burning of Crop Residue in
Regions with Anthropogenic Management and Control? A Case Study in
Northeastern China",
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        NUMBER = "19",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255232"}

@article{bb260469,
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fire characteristics",
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@article{bb260470,
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        TITLE = "A New Wildfire Watchdog: Alerts About Forest Fires Shouldn't Depend
on Pets Smelling Smoke. We Need Smart Infrastructure, and that Needs
Zero-Power Sensors",
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@article{bb260471,
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        TITLE = "Dead Fuel Moisture Content (DFMC) Estimation Using MODIS and
Meteorological Data: The Case of Greece",
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@article{bb260472,
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LiDAR Data",
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@article{bb260473,
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@inproceedings{bb260474,
        AUTHOR = "Akay, A.E.",
        TITLE = "Assessment of the Visibility Capabilities of Forest Fire Lookout Towers:
The Case of Gemlik, Bursa, Turkey",
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        YEAR = "2021",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog952fm3.html#TT255238"}

@inproceedings{bb260475,
        AUTHOR = "Akay, A.E. and Erdogan, A.",
        TITLE = "Developing Validation of Forest Fire Risk Maps Based on Historical Fire
Incidences",
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@inproceedings{bb260476,
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Predictive Modelling in Greece Using Diachronically Collected Fire
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@inproceedings{bb260477,
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@inproceedings{bb260478,
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@inproceedings{bb260480,
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@article{bb260490,
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@article{bb260491,
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@article{bb260492,
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@article{bb260495,
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@article{bb260496,
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Last update:Jan 13, 2022 at 22:02:22