Resultados totales (Incluyendo duplicados): 3
Encontrada(s) 1 página(s)
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/BBQQU7
Dataset. 2020

BARD: A GLOBAL AND REGIONAL VALIDATION BURNED AREA DATABASE

  • Franquesa Fuentetaja, Magi
  • Vanderhoof, M.K.
  • Stavrakoudis, D.
  • Gitas, I.
  • Roteta, E.
  • Padilla, M.
  • Chuvieco, Emilio
TheFireCCIproject is part of the European Space Agency's (ESA)Climate Change Initiative(CCI) programme. The project focuses on theFire 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 theCEOS LPVS stage 3validation 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 asCONUS Landsat Burned Area, andNOFFI, have significantly increased the BARD database.

Proyecto: //
DOI: https://doi.org/10.21950/BBQQU7
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/BBQQU7
HANDLE: https://doi.org/10.21950/BBQQU7
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/BBQQU7
PMID: https://doi.org/10.21950/BBQQU7
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/BBQQU7
Ver en: https://doi.org/10.21950/BBQQU7
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/BBQQU7

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/VTDZ1L
Dataset. 2019

FIRECCIS1SA10: ESA FIRE CLIMATE CHANGE INITIATIVE (FIRE_CCI) - SENTINEL-1 BURNED AREA PRODUCT FOR A LARGE DEMONSTRATOR AREA IN SOUTH AMERICA

  • Chuvieco, Emilio
  • Pettinari, María Lucrecia
  • Tanse, Mihai
  • Belenguer Plomer, Miguel Ángel
  • Lizundia-Loiola, Joshua
In support of the IPCC, the ESA Climate Change Initiative (CCI) programme comprises the participation of different projects, each focusing on the production of global coverage of an Essential Climate Variable (ECV). The ECV Fire Disturbance (Fire_cci) provides validated, error-characterised, global and regional data sets of burned areas (BA) derived from existing satellite observations. The Fire_cci BA products consist of a Pixel and Grid product addressing the needs and requirements of climate, atmospheric and ecosystem scientists and researchers supporting their modelling efforts. Further information on the ESA CCI Programme and a comprehensive documentation on the underlying algorithms, work flow, production system and product validation is publicly accessible on https://www.esa-fire-cci.org/. FireCCIS1SA10 provides burned area (BA) information over a large demonstrator area (LDA) located in tropical South America for the year 2017. It is based on an algorithm that uses Sentinel-1 SAR information, with MODIS hotspots and land cover as auxiliary information, to detect areas that have burned due to wildfires. The product is provided in monthly tiles in geographical coordinates with a spatial resolution of 0.00035932447 degrees (approx. 40 m).

Proyecto: //
DOI: https://doi.org/10.21950/VTDZ1L
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/VTDZ1L
HANDLE: https://doi.org/10.21950/VTDZ1L
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/VTDZ1L
PMID: https://doi.org/10.21950/VTDZ1L
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/VTDZ1L
Ver en: https://doi.org/10.21950/VTDZ1L
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/VTDZ1L

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/YABYCN
Dataset. 2022

FIREURISK_EUROPE_FUEL_MAP: EUROPEAN FUEL MAP AT 1 KM RESOLUTION

  • Aragoneses, Elena
  • Garcia, Mariano
  • Chuvieco, Emilio
The European fuel map is a raster layer representing the first-level fuel types of the FirEUrisk fuel classification system for the continental scale, in: Aragoneses et al., (2022) Classification and mapping of the European fuels using a hierarchical-multipurpose fuel classification system [in preparation]. The European fuel map was generated through the integration of existing land cover datasets and bioclimatic modelling. Then, it was smoothed and resampled to the target spatial resolution (1 km). Finally, it was validated using LUCAS (Land Use and Coverage Area frame Survey), Google images, and the GlobeLand30 map. Further information can be found in the Product User Manual (PUM). The European fuel map is part of the FirEUrisk project, which pretends to create a European integrated strategy for fire danger assessment, reduction, and adaptation.

Proyecto: //
DOI: https://doi.org/10.21950/YABYCN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/YABYCN
HANDLE: https://doi.org/10.21950/YABYCN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/YABYCN
PMID: https://doi.org/10.21950/YABYCN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/YABYCN
Ver en: https://doi.org/10.21950/YABYCN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/YABYCN

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