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Development of a standard database of reference sites for validating global burned area products

Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, Emilio Chuvieco
2020 Earth System Science Data  
The important lack of reference data for the validation of burned area products is addressed in this paper.  ...  BARD contains a total of 2661 reference files derived from Landsat and Sentinel-2 imagery. All those files have been checked for internal quality and are freely provided by the authors.  ...  This is the case of land cover or burned area products, which require first designing a sample strategy using statistically valid protocols and then extracting from the selected sites the reference polygons  ... 
doi:10.5194/essd-12-3229-2020 fatcat:iq3g4ywsjva4bkyi4rrgcvnin4

Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa

Mihai A. Tanase, Miguel A. Belenguer-Plomer, Ekhi Roteta, Aitor Bastarrika, James Wheeler, Ángel Fernández-Carrillo, Kevin Tansey, Werner Wiedemann, Peter Navratil, Sandra Lohberger, Florian Siegert, Emilio Chuvieco
2020 Remote Sensing  
This study provides a comparative analysis of two Sentinel-1 and one Sentinel-2 burned area (BA) detection and mapping algorithms over 10 test sites (100 × 100 km) in tropical and sub-tropical Africa.  ...  Algorithm performance was compared by evaluating the detected BA agreement with reference fire perimeters independently derived from medium resolution optical imagery (i.e., Landsat 8, Sentinel-2).  ...  The Sentinel-2 based reference fire perimeters were selected from an available pool of validation tiles and provided for more diverse land cover types.  ... 
doi:10.3390/rs12020334 fatcat:eakizjkavvhorken33ud6cbwbi

Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa

E. Roteta, A. Bastarrika, M. Padilla, T. Storm, E. Chuvieco
2019 Remote Sensing of Environment  
An initial burned area map is created in the first step, from which tile dependent statistics are extracted for the second step.  ...  Total BA estimated from our product was 4.9 M km 2 , around 80% larger area than what the NASA BA product (MCD64A1 c6) detected in the same period (2.7 M km 2 ).  ...  The FireCCISFD11 product can be downloaded at https://www.esa-fire-cci. org/node/262 (last accessed on November 2018).  ... 
doi:10.1016/j.rse.2018.12.011 fatcat:q52lmaqi5jglfcri5qbijgpgn4

Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies

Emilio Chuvieco, Joshua Lizundia-Loiola, Maria Lucrecia Pettinari, Ruben Ramo, Marc Padilla, Kevin Tansey, Florent Mouillot, Pierre Laurent, Thomas Storm, Angelika Heil, Stephen Plummer
2018 Earth System Science Data  
To understand the value of this product in detecting small fire patches (<span class="inline-formula">&amp;lt;100</span><span class="thinspace"></span>ha), an additional validation sample of 52 Sentinel  ...  -2 scenes was generated specifically over Africa.  ...  In the comparison with Sentinel-2 data over northern hemispheric Africa, the obtained values were r 2 = 0.839 (p 0.01) for FireCCI50 and r 2 = 0.836 for MCD64A1 c6 (p 0.01).  ... 
doi:10.5194/essd-10-2015-2018 fatcat:6up3efz5djcrvchroe5jcsqkiu

Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach

Xikun Hu, Yifang Ban, Andrea Nascetti
2021 International Journal of Applied Earth Observation and Geoinformation  
This paper aims to investigate the use of reflective wavelength Sentinel-2 data to classify unambiguous active fire areas from inactive areas at 20 m spatial resolution.  ...  A B S T R A C T Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of enhanced spatial and temporal coverage for monitoring biomass burning which could complement other coarse  ...  We acknowledge the use of data from Sentinel-2 operated by the Copernicus Programme, and from LANCE FIRMS operated by the NASA GSFC Earth Science Data and Information System (ESDIS).  ... 
doi:10.1016/j.jag.2021.102347 fatcat:6v6g3cctgjelhga4szznbaov7a

An Adaptive and Extensible System for Satellite-Based, Large Scale Burnt Area Monitoring in Near-Real Time

Michael Nolde, Simon Plank, Torsten Riedlinger
2020 Remote Sensing  
The results are validated against semi-automatically derived burnt areas for five wildfire incidents in Europe.  ...  The large-scale inter-comparison shows that the results coincide with 63% to 76% of the burnt area in the reference datasets.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12132162 fatcat:76anmzi46zechivgfranp42mjq

Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies

Emilio Chuvieco, Joshua Lizundia-Loiola, M. Lucrecia Pettinari, Ruben Ramo, Marc Padilla, Kevin Tansey, Florent Mouillot, Pierre Laurent, Thomas Storm, Angelika Heil, Stephen Plummer
2018 Earth System Dynamics Discussions  
Examples of potential applications of this product to fire modelling based on burned patches analysis are included in this paper.  ...  </strong> This paper presents a new global burned area (BA) product, generated from the MODIS red (R) and near infrared (NIR) reflectances and thermal anomalies data, thus providing the highest spatial  ...  Acknowledgements This study has been funded by the ESA Fire_cci project, which is part of the ESA Climate Change Initiative Programme.  ... 
doi:10.5194/essd-2018-46 fatcat:wcldej56hzcv7anluhgoc4mmqm

Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems

Thomas Katagis, Ioannis Z. Gitas
2022 Remote Sensing  
Their spatial estimates of burned area exhibited a fairly satisfactory agreement with the reference data, reaching an average of 78% in detection rate.  ...  Additional research is required for a more rigorous assessment of the variability of these burned area products, yet this research provides further insight and has implications for their use in fire-related  ...  Here, fire siz Conclusions In this study we assessed the accuracy of two publicly available satellite burned area products, MCD64A1 C6 and FireCCI51, against reference data derived from Sentinel 2 for  ... 
doi:10.3390/rs14030602 fatcat:yd3jq3j5wveipbariqeizt5bvq

Global validation of the collection 6 MODIS burned area product

Luigi Boschetti, David P. Roy, Louis Giglio, Haiyan Huang, Maria Zubkova, Michael L. Humber
2019 Remote Sensing of Environment  
The areal accuracy of the MCD64A1 product was characterized at the 30 m resolution of the Landsat independent reference data using standard accuracy metrics derived from global and from biome specific  ...  These independent reference data were selected using a stratified random sampling approach that allows for probability sampling of Landsat data in both time and in space.  ...  The authors gratefully acknowledge Andrea Melchiorre, Lian-Zhi Huo, and Aaron Sparks (Department of Forest, Rangeland and Fire Sciences, University of Idaho), and Sanath Kumar and Pedro Oliveira (South  ... 
doi:10.1016/j.rse.2019.111490 pmid:32440029 pmcid:PMC7241595 fatcat:qcmrcxmoo5g75gxmnffn25v3gy

Developing a Random Forest Algorithm for MODIS Global Burned Area Classification

Rubén Ramo, Emilio Chuvieco
2017 Remote Sensing  
Those fire perimeters were used to extract burned and unburned areas to train the RF models.  ...  For each site, fire perimeters were obtained from multitemporal pairs of Landsat TM/ETM+ images acquired in 2008.  ...  Acknowledgments: This study has been undertaken within the ESA Fire_cci project, from which images and  ... 
doi:10.3390/rs9111193 fatcat:mzskfgcmdrae5asxmft3ptya5e

30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine

Tengfei Long, Zhaoming Zhang, Guojin He, Weili Jiao, Chao Tang, Bingfang Wu, Xiaomei Zhang, Guizhou Wang, Ranyu Yin
2019 Remote Sensing  
Cross-comparison with the recent Fire_cci Version 5.0 BA product found a similar spatial distribution and a strong correlation ( R 2 = 0.74) between the burned areas from the two products, although differences  ...  Heretofore, global Burned Area (BA) products have only been available at coarse spatial resolution, since most of the current global BA products are produced with the help of active fire detection or dense  ...  perimeter of BA from GABAM can be useful for the statistics of the area of biomes actually burned, and therefore to improve the simulation of carbon emissions from biomass burning.  ... 
doi:10.3390/rs11050489 fatcat:62j6o3rcbfefbczb5zcwdly6f4

Historical background and current developments for mapping burned area from satellite Earth observation

Emilio Chuvieco, Florent Mouillot, Guido R. van der Werf, Jesús San Miguel, Mihai Tanasse, Nikos Koutsias, Mariano García, Marta Yebra, Marc Padilla, Ioannis Gitas, Angelika Heil, Todd J. Hawbaker (+1 others)
2019 Remote Sensing of Environment  
recent approaches to map burned areas and evaluates the existing burned area products (both at global and regional scales).  ...  Accurate and up to date information on areas affected by fire is critical to better understand drivers of fire activity, as well as its relevance for biogeochemical cycles, climate, air quality, and to  ...  The Committee on Earth Observing Satellites (CEOS) Land Product Validation team recommends that reference fire perimeters be derived from a multitemporal pair of images to properly date the validation  ... 
doi:10.1016/j.rse.2019.02.013 fatcat:eywm3ix63ngvdczdtdci46etwu

Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery

Admilson da Penha Pacheco, Juarez Antonio da Silva Junior, Antonio Miguel Ruiz-Armenteros, Renato Filipe Faria Henriques
2021 Remote Sensing  
For that, image data from Landsat-8, Sentinel-2, and Terra satellites and the peculiarities of each of these platforms with the support of Jeffries–Matusita (JM) separability statistics were analyzed.  ...  This study analyzes the performance of the k-Nearest Neighbor (kNN) and Random Forest (RF) classifiers for the classification of an area that is affected by fires in central Portugal.  ...  Special thanks to the four anonymous reviewers for their insightful comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13071345 fatcat:bucn4mdwpzew5e4xylkpi6ka6i

Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data

Michael Nolde, Norman Mueller, Günter Strunz, Torsten Riedlinger
2021 Remote Sensing  
The analyzed data is based on 3503 tiles of the ESA Sentinel-3 OLCI instrument, extended by 9612 granules of the NASA MODIS MOD09/MYD09 product.  ...  Rising trends in fire severity could be found for the states of New South Wales and Victoria, which could be attributed mainly to developments in the temperate climate zone featuring hot summers without  ...  The methodology is schematically visualized in Figure 2. Figure 2. Scheme of the methodology for burnt area perimeter derivation, from Nolde et al.  ... 
doi:10.3390/rs13244975 fatcat:uarvo2wdivc67ls6z7ww7sdjsq

Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon

Ana Carolina M. Pessôa, Liana O. Anderson, Nathália S. Carvalho, Wesley A. Campanharo, Celso H. L. Silva Junior, Thais M. Rosan, João B. C. Reis, Francisca R. S. Pereira, Mauro Assis, Aline D. Jacon, Jean P. Ometto, Yosio E. Shimabukuro (+4 others)
2020 Remote Sensing  
C emissions in the Amazon biome for the year 2015.  ...  In addition, we distinguished the burned areas occurring in forests from non-forest areas.  ...  We also thank the burned area products developers for providing the freely available datasets and Juan Doblas Prieto for helping with the statistical analysis.  ... 
doi:10.3390/rs12233864 fatcat:z4tsceo4nrb3flvkp5chfq3feq
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