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

Natural Hazards and Earth System Sciences - Germany
doi 10.5194/nhess-10-305-2010
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Copernicus GmbH

Related search

A Hybrid Contextual Approach to Wildland Fire Detection Using Multispectral Imagery

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2005English

Integrating Fire Behavior Models and Geospatial Analysis for Wildland Fire Risk Assessment and Fuel Management Planning

Journal of Combustion
Fuel TechnologyPower TechnologyEnergy EngineeringChemical EngineeringCondensed Matter Physics
2011English

Smoke Emissions From Wildland Fires

Environmental International
Environmental Science
1991English

Support Vector Machines for Survival Analysis With R

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2018English

Support Vector Machines for Multi-Attribute ABC Analysis

International Journal of Machine Learning and Computing
ManagementComputer Science ApplicationsInformation SystemsArtificial Intelligence
2013English

Combining Pixel-Based and Object-Oriented Support Vector Machines Using Bayesian Probability Theory

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2014English

Applying Multi-Class Support Vector Machines for Performance Assessment of Shipping Operations: The Case of Tanker Vessels

Ocean Engineering
Ocean EngineeringEnvironmental Engineering
2017English

Mapping the Daily Progression of Large Wildland Fires Using MODIS Active Fire Data

International Journal of Wildland Fire
ForestryEcology
2014English

Decision Support System Based on the Support Vector Machines and the Adaptive Support Vector Machines Algorithm for Solving Chest Disease Diagnosis Problems

Biomedical Research
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy