Articles | Volume 10, issue 2
https://doi.org/10.5194/nhess-10-305-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-10-305-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
17 Feb 2010
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
G. P. Petropoulos
University of Bristol, Department of Earth Sciences, Wills Memorial Building, Queens Road, BS8 1RJ, Bristol, UK
W. Knorr
University of Bristol, Department of Earth Sciences, Wills Memorial Building, Queens Road, BS8 1RJ, Bristol, UK
M. Scholze
University of Bristol, Department of Earth Sciences, Wills Memorial Building, Queens Road, BS8 1RJ, Bristol, UK
L. Boschetti
Department of Geography, University of Maryland, 2181 LeFrak Hall, College Park, MD 20740, USA
G. Karantounias
Agricultural University of Athens, Department of Natural Resources Development and Agricultural Engineering, 75, Iera Odos St., 118 55, Athens, Greece
Viewed
Total article views: 3,219 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,638 | 1,358 | 223 | 3,219 | 165 | 184 |
- HTML: 1,638
- PDF: 1,358
- XML: 223
- Total: 3,219
- BibTeX: 165
- EndNote: 184
Cited
34 citations as recorded by crossref.
- Hyperion hyperspectral imagery analysis combined with machine learning classifiers for land use/cover mapping G. Petropoulos et al. https://doi.org/10.1016/j.eswa.2011.09.083
- Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood G. Ireland et al. https://doi.org/10.3390/rs70303372
- Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on Machine Learning A. Chatziantoniou et al. https://doi.org/10.3390/rs9121259
- Remote sensing and GIS analysis for mapping spatio-temporal changes of erosion and deposition of two Mediterranean river deltas: The case of the Axios and Aliakmonas rivers, Greece G. Petropoulos et al. https://doi.org/10.1016/j.jag.2014.08.004
- Evaluation of urban sprawl from space using open source technologies G. Nolè et al. https://doi.org/10.1016/j.ecoinf.2014.05.005
- Exploring the Potential of Sentinels-1 & 2 of the Copernicus Mission in Support of Rapid and Cost-effective Wildfire Assessment D. Colson et al. https://doi.org/10.1016/j.jag.2018.06.011
- Discrimination of common Mediterranean plant species using field spectroradiometry K. Manevski et al. https://doi.org/10.1016/j.jag.2011.07.001
- Artificial Intelligence in Agricultural Mapping: A Review R. Espinel et al. https://doi.org/10.3390/agriculture14071071
- Performance evaluation of random forest and support vector regressions in natural hazard change detection V. Eisavi & S. Homayouni https://doi.org/10.1117/1.JRS.10.046030
- Natural or man-made? Finding the drivers of forest fires within the protected area habitats: a case study from the lower Shivalik Landscape, Western Himalaya T. Mondal et al. https://doi.org/10.1007/s11069-024-06523-2
- Google Earth Engine ile Türkiye'de Yanmış Alanların MODIS ve FireCCI51 Küresel Yanmış Alan Uydu Gözlem Verileriyle Karşılaştırmalı Değerlendirilmesi H. TONBUL https://doi.org/10.48123/rsgis.1410382
- Evaluation of Multi-Spectral Band Efficacy for Mapping Wildland Fire Burn Severity from PlanetScope Imagery D. Hamilton et al. https://doi.org/10.3390/rs15215196
- Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery G. Petropoulos et al. https://doi.org/10.1016/j.cageo.2011.08.019
- An intercomparison of burnt area estimates derived from key operational products: the Greek wildland fires of 2005–2007 D. Kalivas et al. https://doi.org/10.5194/npg-20-397-2013
- Exploring the relationships between post-fire vegetation regeneration dynamics, topography and burn severity: A case study from the Montane Cordillera Ecozones of Western Canada G. Ireland & G. Petropoulos https://doi.org/10.1016/j.apgeog.2014.11.016
- Burned Area Estimation Using a New Accuracy Verification Method Based on Sentinel-2 Images Y. Chen et al. https://doi.org/10.1109/LGRS.2023.3284048
- A Novel Flying Aircraft Detection Method for Wide Area Using Bidirectional Whiskbroom Thermal Images L. Li et al. https://doi.org/10.1109/TGRS.2026.3651723
- Remote Sensing, natural hazards and the contribution of ESA Sentinels missions D. Poursanidis & N. Chrysoulakis https://doi.org/10.1016/j.rsase.2017.02.001
- Assessment of pan-sharpening methods applied to image fusion of remotely sensed multi-band data . Yuhendra et al. https://doi.org/10.1016/j.jag.2012.01.013
- Evaluating the risks of spatial and temporal changes in nonpoint source pollution in a Chinese river basin B. Xue et al. https://doi.org/10.1016/j.scitotenv.2021.151726
- Quantifying land use/land cover spatio-temporal landscape pattern dynamics from Hyperion using SVMs classifier and FRAGSTATS® S. Lamine et al. https://doi.org/10.1080/10106049.2017.1307460
- Burned area mapping in Mediterranean environment using medium-resolution multi-spectral data and a neuro-fuzzy classifier N. Mitrakis et al. https://doi.org/10.1080/19479832.2011.635604
- Land cover mapping with emphasis to burnt area delineation using co-orbital ALI and Landsat TM imagery G. Petropoulos et al. https://doi.org/10.1016/j.jag.2012.02.004
- Performance Analyzing of High Resolution Pan-sharpening Techniques: Increasing Image Quality for Classification using Supervised Kernel Support Vector Machine Y. . et al. https://doi.org/10.3923/rjit.2011.12.23
- Land Cover Dynamics in Beni Chougrane Mountains, North West of Algeria, Using Remote Sensing . Tayeb Si Tayeb & . Benabdeli Kheloufi https://doi.org/10.6000/1927-5129.2014.10.34
- GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques A. Tiwari et al. https://doi.org/10.1007/s11069-020-04351-8
- Selection of classification techniques for land use/land cover change investigation P. Srivastava et al. https://doi.org/10.1016/j.asr.2012.06.032
- Determination of burn severity models ranging from regional to national scales for the conterminous United States J. Picotte et al. https://doi.org/10.1016/j.rse.2021.112569
- Crop type discrimination using Geo-Stat Endmember extraction and machine learning algorithms P. Singh et al. https://doi.org/10.1016/j.asr.2022.08.031
- Assessing the influence of atmospheric and topographic correction and inclusion of SWIR bands in burned scars detection from high-resolution EO imagery: a case study using ASTER Y. Said et al. https://doi.org/10.1007/s11069-015-1792-9
- Comparing ten classification methods for burned area mapping in a Mediterranean environment using Landsat TM satellite data G. Mallinis & N. Koutsias https://doi.org/10.1080/01431161.2011.648284
- Reconstruction of contested landscape: Detecting land cover transformation hosting cultural heritage sites from Central India using remote sensing R. Banerjee & P. Srivastava https://doi.org/10.1016/j.landusepol.2013.03.005
- Image Classification and Land Cover Mapping Using Sentinel-2 Imagery: Optimization of SVM Parameters S. Yousefi et al. https://doi.org/10.3390/land11070993
- A review of machine learning applications in wildfire science and management P. Jain et al. https://doi.org/10.1139/er-2020-0019
Latest update: 14 Aug 2026
Special issue
Altmetrics