Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Forest Ecology and Management

• Publication date

  2008-07-30

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/J.FORECO.2008.04.025
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Statistical Learning Theory

  2021cited by this paper
• (Final version)

  2009cited by this paper
• Classifying Multilevel Imagery From SAR and Optical Sensors by Decision Fusion

  2008cited by this paper
• Remotely sensed characterization of forest fuel types by using satellite ASTER data

  2007cited by this paper
• The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs

  2007cited by this paper
• Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization

  2007cited by this paper
• Fusion of Support Vector Machines for Classification of Multisensor Data

  2007cited by this paper
• Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines

  2007cited by this paper
• Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems

  2007cited by this paper
• Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction

  2006cited by this paper
• Single Tree Segmentation Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest

  2006cited by this paper
• The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM

  2006cited by this paper
• Assessing spatial patterns of forest fuel using AVIRIS data

  2006cited by this paper
• Mapping Sagebrush Distribution Using Fusion of Hyperspectral and Lidar Classifications

  2006cited by this paper
• A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images

  2006cited by this paper
• Fire risk ignition: The integrated model “AIOLI”

  2006cited by this paper
• Some issues in the classification of DAIS hyperspectral data

  2006influential reference
• Mapping woodland species composition and structure using airborne spectral and LiDAR data

  2005cited by this paper
• Estimating forest canopy fuel parameters using LIDAR data

  2005cited by this paper
• Estimating forest growth using canopy metrics derived from airborne laser scanner data

  2005cited by this paper
• Classification of hyperspectral remote sensing images with support vector machines

  2004cited by this paper
• A relative evaluation of multiclass image classification by support vector machines

  2004cited by this paper
• Quantitative retrieval of biogeophysical characteristics using imaging spectroscopy - a mountain forest case study

  2004cited by this paper
• Radiative transfer modeling within a heterogeneous canopy for estimation of forest fire fuel properties

  2004cited by this paper
• Using Imaging Spectroscopy to Study Ecosystem Processes and Properties

  2004cited by this paper
• LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management

  2004cited by this paper
• SPECTRA - Surface Processes and Ecosystem Changes Through Response Analysis

  2004cited by this paper
• Evaluation of the potential of Hyperion for fire danger assessment by comparison to the Airborne Visible/Infrared Imaging Spectrometer

  2003cited by this paper
• Synergistic Use of Lidar and Color Aerial Photography for Mapping Urban Parcel Imperviousness

  2003cited by this paper
• A review of current space-based fire monitoring in Australia and the GOFC/GOLD program for international coordination

  2003cited by this paper
• Review of users' needs in operational fire danger estimation: The Oklahoma example

  2003cited by this paper
• Wildland Fire Danger Estimation and Mapping: The Role of Remote Sensing Data

  2003cited by this paper
• Introduction to fire danger rating and remote sensing - Will remote sensing enhance wildland fire danger prediction?

  2003cited by this paper
• Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling

  2003cited by this paper
• Integration of Physical and Human Factors in Fire Danger Assessment

  2003cited by this paper
• Above‐ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment

  2003cited by this paper
• Spectral resolution requirements for mapping urban areas

  2003cited by this paper
• Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data

  2002cited by this paper
• Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: Parametric orthorectification

  2002cited by this paper
• An assessment of support vector machines for land cover classi(cid:142) cation

  2002cited by this paper
• Lidar Remote Sensing for Ecosystem Studies

  2002cited by this paper
• Status of land cover classification accuracy assessment

  2002cited by this paper
• Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling

  2001cited by this paper
• Laser altimeter canopy height profiles: methods and validation for closed-canopy, broadleaf forests

  2001cited by this paper
• Detecting vegetation leaf water content using reflectance in the optical domain

  2001cited by this paper
• New Support Vector Algorithms

  2000cited by this paper
• Impact of Tissue, Canopy, and Landscape Factors on the Hyperspectral Reflectance Variability of Arid Ecosystems

  2000cited by this paper
• Preventing Disaster: Home Ignitability in the Wildland-Urban Interface

  2000cited by this paper
• Deriving Water Content of Chaparral Vegetation from AVIRIS Data

  2000cited by this paper
• Extraction of buildings and trees in urban environments

  1999cited by this paper
• A Tutorial on Support Vector Machines for Pattern Recognition

  1998cited by this paper
• FARSITE : Fire Area Simulator : model development and evaluation

  1998cited by this paper
• Estimating Canopy Water Content of Chaparral Shrubs Using Optical Methods

  1998cited by this paper
• Decision tree classification of land cover from remotely sensed data

  1997cited by this paper
• A review of assessing the accuracy of classifications of remotely sensed data

  1991cited by this paper
• Neural Network Approaches Versus Statistical Methods in Classification of Multisource Remote Sensing Data

  1989influential reference
• Imaging Spectrometry for Earth Remote Sensing

  1985cited by this paper
• Handbook for inventorying surface fuels and biomass in the interior West. General technical report

  1982influential reference

• MMLGNet: Cross-Modal Alignment of Remote Sensing Data using CLIP

  2026cites this paper
• Mamba-based multiview spatial and frequency collaborative network for hyperspectral image unmixing

  2026cites this paper
• Multilevel Fusion Network Based on Mix Hybrid Attention for Hyperspectral and LiDAR Image Classification

  2026cites this paper
• Spatial overlap between wildfire probability and Moringa peregrina (Forssk.) habitat suitability: a modeling approach in southern Iran

  2025cites this paper
• ATTENTION-GUIDED FUSION OF LIDAR AND HYPERSPECTRAL IMAGING FOR IMPROVED SEMANTIC SEGMENTATION OF URBAN ENVIRONMENTS

  2025cites this paper
• Remote Sensing of Trees Using Full Waveform LiDAR Data and Optical Imagery: A Case Study of Tree Counting in Madera, California

  2025cites this paper
• Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors

  2025cites this paper
• Knowledge Domain and Emerging Trends in Monitoring of Forest Fires Using Remote Sensing: A Scientometric Review Based on CiteSpace Analysis

  2025cites this paper
• Machine learning-based forest fire susceptibility mapping of Southern Mizoram, a part of Indo-Burma Biodiversity Hotspot

  2025cites this paper
• SSLT-Net: A Spatial–Spectral Linear Transformer Unmixing Network for Hyperspectral Image

  2025cites this paper
• MSCC-ViT:A Multiscale Visual-Transformer Network Using Convolution Crossing Attention for Hyperspectral Unmixing

  2024cites this paper
• MGPACNet: A Multiscale Geometric Prior Aware Cross-Modal Network for Images Fusion Classification

  2024cites this paper
• Vision Transformer-Driven LiDAR Data Fusion for Enhanced Hyperspectral Image Classification

  2024cites this paper
• A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection

  2023cites this paper
• Exploring the Addition of Airborne Lidar-DEM and Derived TPI for Urban Land Cover and Land Use Classification and Mapping

  2023cites this paper
• Tree species classification using machine learning algorithms with OHS-2 hyperspectral image

  2023cites this paper
• MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification

  2023cites this paper
• Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery

  2023cites this paper
• Evaluating urban green and blue spaces with space-based multi-sensor datasets for sustainable development

  2023cites this paper
• Forest wild�re risk mapping, performance comparison of machine learning algorithms

  2023cites this paper
• Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

  2023cites this paper
• Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification

  2023cites this paper
• Fine Resolution Imagery and LIDAR-Derived Canopy Heights Accurately Classify Land Cover with a Focus on Shrub/Sapling Cover in a Mountainous Landscape

  2022cites this paper
• Hybrid models based on deep learning neural network and optimization algorithms for the spatial prediction of tropical forest fire susceptibility in Nghe An province, Vietnam

  2022cites this paper
• Hyperspectral Unmixing Using Transformer Network

  2022cites this paper
• Dynamic Fire Monitoring Analysis and Risk Assessment Based on Multisource Satellite Remote Sensing

  2022cites this paper
• Collaborative Classification of Hyperspectral and LiDAR Data Based on Gram Matrices Constrained Fusion Net

  2022cites this paper
• Integrated topographic corrections improve forest mapping using Landsat imagery

  2022cites this paper
• Multimodal Fusion Transformer for Remote Sensing Image Classification

  2022cites this paper
• Fusion of optical, radar and waveform LiDAR observations for land cover classification

  2022cites this paper
• Modeling Environmental Factors Related to Drought-Induced Tree Mortality Based on Lidar and Hyperspectral Imagery

  2022cites this paper
• Fire Detection Systems by Using Wireless Sensors

  2022cites this paper
• Hyperspectral and LiDAR data fusion in features based classification

  2021cites this paper
• Land cover type classification study based on airborne LiDAR and Sentinel-2 image data

  2021cites this paper
• A Precisely One-Step Registration Methodology for Optical Imagery and LiDAR Data Using Virtual Point Primitives

  2021cites this paper
• Vegetation structure parameters determine high burn severity likelihood in different ecosystem types: A case study in a burned Mediterranean landscape.

  2021cites this paper
• Joint feature extraction for multi-source data using similar double-concentrated network

  2021cites this paper
• True color 3D imaging optimization with missing spectral bands based on hyperspectral LiDAR.

  2021cites this paper
• Application of earth observation dataset and multi-criteria decision-making technique for forest fire risk assessment in Sikkim, India

  2021cites this paper
• Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: a case study in the mountainous terrain of Northeast India

  2021cites this paper
• A comprehensive review of hyperspectral data fusion with lidar and sar data

  2021cites this paper
• FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification

  2020cites this paper
• Prediction of Fuel Loading Following Mastication Treatments in Forest Stands in North Idaho, USA

  2020cites this paper
• A Comparison of Two Machine Learning Classification Methods for Remote Sensing Predictive Modeling of the Forest Fire in the North-Eastern Siberia

  2020cites this paper
• Automatic Extraction of Grasses and Individual Trees in Urban Areas Based on Airborne Hyperspectral and LiDAR Data

  2020cites this paper
• Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN

  2020cites this paper
• Bushfire Risk in Late-modernity: An Examination of Risk Perspectives and Ontological Security Structures in Victorian Urban-rural Interface Residents

  2020cites this paper
• Evaluating forest fire probability under the influence of human activity based on remote sensing and GIS

  2020cites this paper
• Early Forest Fire Detection System using Wireless Sensor Network and Deep Learning

  2020cites this paper
• Vegetation and Soil Fire Damage Analysis Based on Species Distribution Modeling Trained with Multispectral Satellite Data

  2019cites this paper
• Classification and modelling of urban environments from point clouds for physical accessibility diagnosis and pedestrian pathfinding

  2019cites this paper
• Discussion on the Method of Removing Abnormal Hot Point in Forest Fire Remote Sensing Monitoring Based on Vegetation Index

  2019cites this paper
• Assessing Landscape Fire Hazard by Multitemporal Automatic Classification of Landsat Time Series Using the Google Earth Engine in West-Central Spain

  2019cites this paper
• Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art

  2019cites this paper
• Extraction of Urban Objects in Cloud Shadows on the basis of Fusion of Airborne LiDAR and Hyperspectral Data

  2019cites this paper
• Optimal Combination of Polarimetric Features for Vegetation Classification in PolSAR Image

  2019cites this paper
• Machine Learning Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data

  2019cites this paper
• Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

  2019cites this paper
• Applying a support vector model to assess land cover changes in the Uvs Lake Basin ecoregion in Mongolia

  2019cites this paper
• Reconstructing pre-fire vegetation condition in the wildland urban interface (WUI) using artificial neural network.

  2019cites this paper
• A Generic Classification Scheme for Urban Structure Types

  2019cites this paper
• Tree species classification in a temperate mixed forest using a combination of imaging spectroscopy and airborne laser scanning

  2019cites this paper
• A Review of the Applications of Remote Sensing in Fire Ecology

  2019cites this paper
• Automatic CORINE land cover classification from airborne LIDAR data

  2018cites this paper
• GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method

  2018cites this paper
• A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

  2018cites this paper
• Corrections to "A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data"

  2018cites this paper
• Collaborative Classification of Hyperspectral and LIDAR Data Using Unsupervised Image-to-Image CNN

  2018cites this paper
• Forest Monitoring System Through Sound Recognition

  2018cites this paper
• Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data

  2018cites this paper
• Multisource Remote Sensing Data Classification Based on Convolutional Neural Network

  2018cites this paper
• Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network

  2018cites this paper
• A Hybrid Intelligence System Based on Relevance Vector Machines and Imperialist Competitive Optimization for Modelling Forest Fire Danger Using GIS

  2018cites this paper
• Enhancing Forest and Shrubland Mapping in a Managed Forest Landscape with Landsat–LiDAR Data Fusion

  2018influential citation
• Monitoring land cover change with LiDAR and aerial imagery in Christchurch, New Zealand

  2018cites this paper
• Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States

  2018cites this paper
• Use of imaging spectroscopy and LIDAR to characterize fuels for fire behavior prediction

  2018cites this paper
• Synergies of Spaceborne Imaging Spectroscopy with Other Remote Sensing Approaches

  2018cites this paper
• Forest Monitoring System Through Sound Recognition

  2018cites this paper
• A Review on Multisource Data Analysis using soft computing Techniques

  2018cites this paper
• Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis

  2017cites this paper
• Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation

  2017cites this paper
• Exploring changes of land use and mangrove distribution in the economic area of Sidoarjo District, East Java using multi-temporal Landsat images

  2017cites this paper
• A wildfire risk oriented GIS tool for mapping Rural-Urban Interfaces

  2017cites this paper
• Characterizing potential wildland fire fuel in live vegetation in the Mediterranean region

  2017cites this paper
• Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network

  2017cites this paper
• Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis

  2017cites this paper
• Retrieval of higher order statistical moments from full-waveform LiDAR data for tree species classification

  2017cites this paper
• Analysis of Land Cover Classification Using Multi-Wavelength LiDAR System

  2017cites this paper
• Canopy leaf water content estimated using terrestrial LiDAR

  2017cites this paper
• Multitemporal Land Cover Change Analysis in the Upper Cauca Basin in Colombia

  2017cites this paper
• Urban forest topographical mapping using UAV LIDAR

  2017cites this paper
• Aplicaciones forestales de los datos lidar-pnoa en ambiente mediterráneo: su filtrado e interpolación y el modelado de parámetros estructurales con apoyo en trabajo de campo

  2017cites this paper
• Airborne lidar remote sensing applications in non-forested short stature environments: a review

  2017cites this paper
• Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study

  2017cites this paper
• Retrieval of vertical leaf water content using terrestrial full-waveform lidar

  2016cites this paper
• National fuel type mapping methodology using geographic object based image analysis and landsat 8 oli imagery

  2016cites this paper
• Using Landsat 8 imagery in detecting cork oak (Quercus suber L.) woodlands: a case study in Calabria (Italy)

  2016cites this paper
• Satellite-based land use mapping: comparative analysis of Landsat-8, Advanced Land Imager, and big data Hyperion imagery

  2016cites this paper
• Exploring Data Mining Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data

  2016cites this paper