Related references
Note: Only part of the references are listed.Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform
Seyd Teymoor Seydi et al.
REMOTE SENSING (2021)
Spatiotemporal Patterns of Burned Areas Based on the Geographic Information System for Fire Risk Monitoring
Deasy Arisanty et al.
International Journal of Forestry Research (2021)
Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data
Luigi Saulino et al.
REMOTE SENSING (2020)
On the Mapping of Burned Areas and Burn Severity Using Self Organizing Map and Sentinel-2 Data
R. Lasaponara et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Spatial correlates of forest and land fires in Indonesia
Z. D. Tan et al.
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2020)
Relationship between Soil Burn Severity in Forest Fires Measured In Situ and through Spectral Indices of Remote Detection
Jose Antonio Sobrino et al.
FORESTS (2019)
Event-Based Integrated Assessment of Environmental Variables and Wildfire Severity through Sentinel-2 Data
Juan Picos et al.
FORESTS (2019)
Determining the use of Sentinel-2A MSI for wildfire burning & severity detection
Craig Amos et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)
EVALUATION OF BURNED AREAS WITH SENTINEL-2 USING SNAP: THE CASE OF KINETA AND MATI, GREECE, JULY 2018
Kamill Daniel Kovacs
GEOGRAPHIA TECHNICA (2019)
A Statistical and Spatial Analysis of Portuguese Forest Fires in Summer 2016 Considering Landsat 8 and Sentinel 2A Data
Ana Teodoro et al.
ENVIRONMENTS (2019)
Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece
Giorgos Mallinis et al.
GISCIENCE & REMOTE SENSING (2018)
Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity
C. Quintano et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)
Variability and drivers of burn severity in the northwestern Canadian boreal forest
Ellen Whitman et al.
ECOSPHERE (2018)
On the Use of Satellite Sentinel 2 Data for Automatic Mapping of Burnt Areas and Burn Severity
Rosa Lasaponara et al.
SUSTAINABILITY (2018)
Evaluation of forest fire on Madeira Island using Sentinel-2A MSI imagery
Gabriel Navarro et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2017)
SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity
Alfonso Fernandez-Manso et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)
Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination
Haiyan Huang et al.
REMOTE SENSING (2016)
Sentinel-2 for Mapping Iron Absorption Feature Parameters
Harald van der Werff et al.
REMOTE SENSING (2015)
Potential of ESA's Sentinel-2 for geological applications
F. D. van der Meer et al.
REMOTE SENSING OF ENVIRONMENT (2014)
A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio
Sean A. Parks et al.
REMOTE SENSING (2014)
Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest
Xuexia Chen et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Fire intensity, fire severity and burn severity: a brief review and suggested usage
Jon E. Keeley
INTERNATIONAL JOURNAL OF WILDLAND FIRE (2009)
Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images
S. Escuin et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
Comparative assessment of CORINE2000 and GLC2000: Spatial analysis of land cover data for Europe
K. Neumann et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2007)
An enhanced contextual fire detection algorithm for MODIS
L Giglio et al.
REMOTE SENSING OF ENVIRONMENT (2003)
Share Paper
