This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.0

Update Frequency: Not Planned
Latest Data Update: 2019-07-09
Status: Superseded
Online Status: ONLINE
Publication State: Citable
Publication Date: 2018-02-23
DOI Publication Date: 2018-02-23
Download Stats: last 12 months
Dataset Size: 403 Files | 35GB

This dataset has been superseded. See Latest Version here
Abstract

The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area developed from satellite observations. The MODIS Fire_cci v5.0 grid products described here are derived from the MODIS instrument onboard the TERRA satellite at 250m resolution for the period 2001 to 2016. This is the first time that MODIS 250m resolution images are used for global burned area (BA) mapping.

This dataset is a gridded product, derived from the MODIS Fire_cci v5.0 pixel product by summarising its burned area information into a regular grid covering the Earth for 15-day periods with 0.25 degree resolution. Information on burned area is included in 23 individual quantities: sum of burned area, standard error, fraction of burnable area, fraction of observed area, number of patches and the burned area for 18 land cover classes, as defined by the Land_Cover_cci v1.6.1 product. For further information on the product and its format see the Fire_cci product user guide in the linked documentation.

Please note, a new version of this dataset (v5.1) is now available.

Citable as:  Chuvieco, E.; Pettinari, M.L.; Lizundia Loiola, J.; Bastarrika, A.; Roteta, E.; Tansey, K.; Padilla Parellada, M.; Wheeler, J.; Lewis, P.; Gomez-Dans, J.; Brennan, J.; Pereira, J.M.; Oom, D.; Campagnolo, M.; Storm, T.; Kaiser, J.; Heil, A.; Mouillot, F.; Moreno, M.V.; Yue, C.; Laurent, P.; van der Werf, G.; Bistinas, I. (2018): ESA Fire Climate Change Initiative (Fire_cci): MODIS Fire_cci Burned Area Grid product, version 5.0. Centre for Environmental Data Analysis, 23 February 2018. doi:10.5285/f1c9c7aa210d4564bd61ed1a81d51130. https://dx.doi.org/10.5285/f1c9c7aa210d4564bd61ed1a81d51130
Abbreviation: FireCCI50_grid
Keywords: ESA, CCI, GRID, Burned Area, Fire Disturbance, Climate Change, GCOS

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_fire_terms_and_conditions.pdf
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data was produced by the ESA Fire_CCI team as part of ESA's Climate Change Initiative (CCI) and is being held on the CEDA (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open Data Portal Project.

Data Quality:
See dataset associated documentation
File Format:
Data are in NetCDF format.

Citations: 2

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Chuvieco, E., Lizundia-Loiola, J., Pettinari, M.L., et al. (2018) Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies. Earth System Science Data 10, 2015–2031. https://doi.org/10.5194/essd-10-2015-2018 https://doi.org/10.5194/essd-10-2015-2018
Chuvieco, E., Lizundia-Loiola, J., Pettinari, M.L., et al. (2018) Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies. https://doi.org/10.5194/essd-2018-46 https://doi.org/10.5194/essd-2018-46

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Mobile platform operations

Mobile Platform Operation 1 Terra Satellite orbit details

Computation Element: 1

Title MODIS Fire_CCI Burned Area Computation
Abstract The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned areas developed from satellite observations. The Burned Area (BA) algorithm used for producing the final Fire_CCI BA product is a hybrid approach, combining information on active fires and temporal changes in relectance. The algorithm is described in the Fire_CCI Algorithm Theoretical Basis Document (Lizundia et al. 2018).
Input Description None
Output Description None
Software Reference None
Output Description

None

  • units: m2
  • long_name: burned area in vegetation class
  • var_id: burned_area_in_vegetation_class
  • names: burned area in vegetation class
  • units: 1
  • long_name: fraction of burnable area
  • var_id: fraction_of_burnable_area
  • names: fraction of burnable area
  • units: 1
  • long_name: fraction of observed area
  • var_id: fraction_of_observed_area
  • names: fraction of observed area
  • var_id: lat_bnds
  • var_id: lon_bnds
  • units: 1
  • long_name: number of burn patches
  • var_id: number_of_patches
  • names: number of burn patches
  • units: m2
  • long_name: standard error of the estimation of burned area
  • var_id: standard_error
  • names: standard error of the estimation of burned area
  • var_id: time_bnds
  • units: m2
  • standard_name: burned_area
  • var_id: burned_area
  • long_name: total burned_area
  • names: burned_area, total burned_area
  • units: 1
  • long_name: vegetation class name
  • var_id: vegetation_class_name
  • names: vegetation class name
  • units: 1
  • var_id: vegetation_class
  • long_name: vegetation class number
  • names: vegetation class number

Co-ordinate Variables

  • units: degree_north
  • standard_name: latitude
  • long_name: latitude
  • var_id: lat
  • names: latitude
  • units: degree_east
  • standard_name: longitude
  • long_name: longitude
  • var_id: lon
  • names: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
  • names: time