BARD: a global and regional validation burned area database

Version 7.5

Franquesa Fuentetaja, Magi; Vanderhoof, M.K.; Stavrakoudis, D.; Gitas, I.; Roteta, E.; Padilla, M.; Chuvieco, Emilio, 2020, "BARD: a global and regional validation burned area database", https://doi.org/10.21950/BBQQU7, e-cienciaDatos, V7

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Description	The FireCCI project is part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The project focuses on the Fire Disturbance Essential Climate Variable(ECV) and specifically on 'Burned Area' (BA) products. The main objective of the FireCCI project is the development and improvement of the burned area detection algorithms, including the product validation protocols. The FireCCI project has developed several global BA products: FireCCI31 and FireCCI41 based on MERIS data, FireCCI50 and the last version FireCCI51 based on MODIS data at 250 m spatial resolution (Chuvieco, et al., 2018; Lizundia-Loiola, et al., 2020). In addition, high resolution BA products have been produced for regional or continental scale (e.g. FireCCISFD11 (Roteta, et al., 2019) based on Sentinel-2 data, for Sub-Saharan Africa at 20 m spatial resolution, and FireCCIS1SA10 (Belenguer-Plomer, et al., 2019) derived from Sentinel-1 for 2017 for the Amazon basin in South America). Moreover, the FireCCI project has promoted the research on BA validation methodologies generating statistically rigorous protocols to implement the accuracy assessment of BA product according the CEOS LPVS stage 3 validation requeriments (Padilla, et al., 2014; 2015; 2017). As a result of this research and the BA product validation activities, several global and regional burned area reference datasets were generated and compiled to create a Burned Area Reference Database (BARD) for validation. Contributions from other international projects and researches as CONUS Landsat Burned Area, and NOFFI, have significantly increased the BARD database. (2019)
Subject	Earth and Environmental Sciences
Keyword	Remote sensing, Fire disturbance, Accuracy assessment, Probability sampling, Thiessen scene area, Biomes
Related Publication	Franquesa, M., Lizundia-Loiola, J., Stehman, S.V., and Chuvieco, E.: Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products, Remote Sensing of Environment, Vol. 269, https://doi.org/10.1016/j.rse.2021.112823, 2022. Franquesa, M., Vanderhoof, M. K., Stavrakoudis, D., Gitas, I., Roteta, E., Padilla, M., and Chuvieco, E.: Development of a standard database of reference sites for validating global burned area products, Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, 2020. Padilla, M., Stehman, S. V., and Chuvieco, E.: Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling, Remote Sensing of Environment, 144, 187-196, https://doi.org/10.1016/j.rse.2014.01.008, 2014. Padilla, M., Stehman, S. V., Ramo, R., Corti, D., Hantson, S., Oliva, P., Alonso-Canas, I., Bradley, A. V., Tansey, K., Mota, B., Pereira, J. M., and Chuvieco, E.: Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation, Remote Sensing of Environment, 160, 114-121, https://doi.org/10.1016/j.rse.2015.01.005, 2015. Padilla, M., Olofsson, P., Stehman, S. V., Tansey, K., and Chuvieco, E.: Stratification and sample allocation for reference burned area data, Remote Sensing of Environment, 203, 240-255, https://doi.org/10.1016/j.rse.2017.06.041, 2017. Padilla, M., Wheeler, J., and Tansey, K.: ESA CCI ECV Fire Disturbance: D4.1.1.Product Validation Report, version 2.1, Available at: https://www.esa-fire-cci.org/documents, 2018. Roteta, E., Bastarrika, A., Padilla, M., Storm, T., and Chuvieco, E.: Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa, Remote Sensing of Environment, 222, 1-17, https://doi.org/10.1016/j.rse.2018.12.011, 2019. Tompoulidou, M., Stefanidou, A., Grigoriadis, D., Dragozi, E., Stavrakoudis, D., and Gitas, I.: The Greek National Observatory of Forest Fires (NOFFi), Fourth International Conference on Remote Sensing and Geoinformation of the Environment, SPIE, 2016. Vanderhoof, M. K., Fairaux, N., Beal, Y.J. G., and Hawbaker, T. J.: Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States, Remote Sensing of Environment, 198, 393-406, https://doi.org/10.1016/j.rse.2017.06.025, 2017.
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Citation Metadata

Persistent Identifier	doi:10.21950/BBQQU7
Publication Date	2020-03-24
Title	BARD: a global and regional validation burned area database
Author	Franquesa Fuentetaja, MagiEnvironmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcalá Vanderhoof, M.K.Geological Survey, Geosciences and Environmental Change Science Center Stavrakoudis, D.Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki Gitas, I.Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment, Aristotle University of Thessaloniki Roteta, E.Department of Mining and Metallurgical Engineering and Materials Science, School of Engineering of Vitoria-Gasteiz, University of the Basque Country UPV/EHU Padilla, M.Centre for Landscape& Climate Research, Department of Geography, University of Leicester Chuvieco, EmilioEnvironmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcalá
Point of Contact	Use email button above to contact. Pettinari, María Lucrecia (Environmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcalá)
Description	The FireCCI project is part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The project focuses on the Fire Disturbance Essential Climate Variable(ECV) and specifically on 'Burned Area' (BA) products. The main objective of the FireCCI project is the development and improvement of the burned area detection algorithms, including the product validation protocols. The FireCCI project has developed several global BA products: FireCCI31 and FireCCI41 based on MERIS data, FireCCI50 and the last version FireCCI51 based on MODIS data at 250 m spatial resolution (Chuvieco, et al., 2018; Lizundia-Loiola, et al., 2020). In addition, high resolution BA products have been produced for regional or continental scale (e.g. FireCCISFD11 (Roteta, et al., 2019) based on Sentinel-2 data, for Sub-Saharan Africa at 20 m spatial resolution, and FireCCIS1SA10 (Belenguer-Plomer, et al., 2019) derived from Sentinel-1 for 2017 for the Amazon basin in South America). Moreover, the FireCCI project has promoted the research on BA validation methodologies generating statistically rigorous protocols to implement the accuracy assessment of BA product according the CEOS LPVS stage 3 validation requeriments (Padilla, et al., 2014; 2015; 2017). As a result of this research and the BA product validation activities, several global and regional burned area reference datasets were generated and compiled to create a Burned Area Reference Database (BARD) for validation. Contributions from other international projects and researches as CONUS Landsat Burned Area, and NOFFI, have significantly increased the BARD database. (2019)
Subject	Earth and Environmental Sciences
Keyword	Remote sensing Fire disturbance Accuracy assessment Probability sampling Thiessen scene area Biomes
Related Publication	Franquesa, M., Lizundia-Loiola, J., Stehman, S.V., and Chuvieco, E.: Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products, Remote Sensing of Environment, Vol. 269, https://doi.org/10.1016/j.rse.2021.112823, 2022. Franquesa, M., Vanderhoof, M. K., Stavrakoudis, D., Gitas, I., Roteta, E., Padilla, M., and Chuvieco, E.: Development of a standard database of reference sites for validating global burned area products, Earth Syst. Sci. Data, 12, 3229–3246, https://doi.org/10.5194/essd-12-3229-2020, 2020. Padilla, M., Stehman, S. V., and Chuvieco, E.: Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling, Remote Sensing of Environment, 144, 187-196, https://doi.org/10.1016/j.rse.2014.01.008, 2014. Padilla, M., Stehman, S. V., Ramo, R., Corti, D., Hantson, S., Oliva, P., Alonso-Canas, I., Bradley, A. V., Tansey, K., Mota, B., Pereira, J. M., and Chuvieco, E.: Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation, Remote Sensing of Environment, 160, 114-121, https://doi.org/10.1016/j.rse.2015.01.005, 2015. Padilla, M., Olofsson, P., Stehman, S. V., Tansey, K., and Chuvieco, E.: Stratification and sample allocation for reference burned area data, Remote Sensing of Environment, 203, 240-255, https://doi.org/10.1016/j.rse.2017.06.041, 2017. Padilla, M., Wheeler, J., and Tansey, K.: ESA CCI ECV Fire Disturbance: D4.1.1.Product Validation Report, version 2.1, Available at: https://www.esa-fire-cci.org/documents, 2018. Roteta, E., Bastarrika, A., Padilla, M., Storm, T., and Chuvieco, E.: Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa, Remote Sensing of Environment, 222, 1-17, https://doi.org/10.1016/j.rse.2018.12.011, 2019. Tompoulidou, M., Stefanidou, A., Grigoriadis, D., Dragozi, E., Stavrakoudis, D., and Gitas, I.: The Greek National Observatory of Forest Fires (NOFFi), Fourth International Conference on Remote Sensing and Geoinformation of the Environment, SPIE, 2016. Vanderhoof, M. K., Fairaux, N., Beal, Y.J. G., and Hawbaker, T. J.: Validation of the USGS Landsat Burned Area Essential Climate Variable (BAECV) across the conterminous United States, Remote Sensing of Environment, 198, 393-406, https://doi.org/10.1016/j.rse.2017.06.025, 2017.
Depositor	Franquesa Fuentetaja, Magi
Deposit Date	2020-03-13

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