Burned area detection using Sentinel-1 SAR data: A case study of Kangaroo Island, South Australia
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Burned area detection using Sentinel-1 SAR data: A case study of Kangaroo Island, South Australia
Authors
Keywords
-
Journal
APPLIED GEOGRAPHY
Volume 151, Issue -, Pages 102854
Publisher
Elsevier BV
Online
2022-12-26
DOI
10.1016/j.apgeog.2022.102854
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Gene expression programming and data mining methods for bushfire susceptibility mapping in New South Wales, Australia
- (2022) Maryamsadat Hosseini et al. NATURAL HAZARDS
- A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems
- (2021) Giandomenico de Luca et al. GIScience & Remote Sensing
- Quantitative Analysis of Forest Fires in Southeastern Australia Using SAR Data
- (2021) Aqil Tariq et al. Remote Sensing
- A New Application of the Disturbance Index for Fire Severity in Coastal Dunes
- (2021) Marcio D. DaSilva et al. Remote Sensing
- Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa
- (2020) Mihai A. Tanase et al. Remote Sensing
- A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest
- (2020) Rebecca Gibson et al. REMOTE SENSING OF ENVIRONMENT
- Contextualizing the 2019–2020 Kangaroo Island Bushfires: Quantifying Landscape-Level Influences on Past Severity and Recovery with Landsat and Google Earth Engine
- (2020) Mitchell T. Bonney et al. Remote Sensing
- Incorporating Sentinel-1 SAR imagery with the MODIS MCD64A1 burned area product to improve burn date estimates and reduce burn date uncertainty in wildland fire mapping
- (2019) Kristofer Lasko Geocarto International
- Identification of Burned Areas and Severity Using SAR Sentinel-1
- (2019) Rosa Lasaponara et al. IEEE Geoscience and Remote Sensing Letters
- 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
- (2019) Ljubomir Gigović et al. Forests
- Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies
- (2019) Miguel A. Belenguer-Plomer et al. REMOTE SENSING OF ENVIRONMENT
- Burned area detection based on Landsat time series in savannas of southern Burkina Faso
- (2018) Jinxiu Liu et al. International Journal of Applied Earth Observation and Geoinformation
- The utility of Random Forests for wildfire severity mapping
- (2018) L. Collins et al. REMOTE SENSING OF ENVIRONMENT
- The Collection 6 MODIS burned area mapping algorithm and product
- (2018) Louis Giglio et al. REMOTE SENSING OF ENVIRONMENT
- Spatial evaluation of Indonesia's 2015 fire-affected area and estimated carbon emissions using Sentinel-1
- (2017) Sandra Lohberger et al. GLOBAL CHANGE BIOLOGY
- Mapping burned areas using dense time-series of Landsat data
- (2017) Todd J. Hawbaker et al. REMOTE SENSING OF ENVIRONMENT
- A Simple Normalized Difference Approach to Burnt Area Mapping Using Multi-Polarisation C-Band SAR
- (2017) Jeanine Engelbrecht et al. Remote Sensing
- Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States
- (2016) Arjan J.H. Meddens et al. REMOTE SENSING OF ENVIRONMENT
- The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests
- (2016) Astrid Verhegghen et al. Remote Sensing
- Fire severity estimation from space: a comparison of active and passive sensors and their synergy for different forest types
- (2015) M. A. Tanase et al. INTERNATIONAL JOURNAL OF WILDLAND FIRE
- Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation
- (2015) Marc Padilla et al. REMOTE SENSING OF ENVIRONMENT
- Radar Burn Ratio for fire severity estimation at canopy level: An example for temperate forests
- (2015) M.A. Tanase et al. REMOTE SENSING OF ENVIRONMENT
- Integration of Optical and SAR Data for Burned Area Mapping in Mediterranean Regions
- (2015) Daniela Stroppiana et al. Remote Sensing
- Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments
- (2013) Florent Mouillot et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors
- (2011) Aitor Bastarrika et al. REMOTE SENSING OF ENVIRONMENT
- An active-fire based burned area mapping algorithm for the MODIS sensor
- (2008) Louis Giglio et al. REMOTE SENSING OF ENVIRONMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now