@article{fdi:010079345,
  title = {{A}ssessing satellite-derived fire patches with functional diversity trait methods},
  author = {{M}oreno, {M}. {V}. and {L}aurent, {P}. and {C}iais, {P}. and {M}ouillot, {F}lorent},
  editor = {},
  language = {{ENG}},
  abstract = {{F}ire disturbance is a significant component of the climate system. {A}nalysis of satellite-derived burned areas has allowed the identification of fire patches and their morphology as a new resource for tracking fire spread to improve fire models used to assess the impact of fires on climate and the carbon cycle. {A} critical parameter of the flood-fill algorithm used to create fire patches is the cut-off (in days) below which it aggregates two contiguous burned pixels to the same fire patch. {H}owever, the current level of validation is insufficient to understand the effect of the cut-off values and sensor resolutions on the subsequent fire-patch morphology. {T}he {FRY} v1.0 database of functional fire-patch traits (e.g., size, elongation, and direction) emanates from the analyses of two global burned-area products derived from {MODIS} and {MERIS} sensors with different spatial and temporal resolutions and with cut-off values of 3, 5, 9, and 14 days. {T}o evaluate whether the {FRY} products are accurately identifying the spatial features of fire patches and what are the most realistic cut-off values to use in different sub-regions of {N}orth {A}merica, we propose a new functional diversity trait-based approach, which compares the satellite-derived fire patches to forest service perimeters as reference data. {T}his paper shows the accuracy of the {FRY} fire patches >= 300 ha in {N}orth {A}merica during 2005-2011. {O}ur analysis demonstrates that fire patches with a high cut-off of 14 days and those derived from the {MODIS} sensor, with their high temporal resolution, better identify the fire diversity in {N}orth {A}merica. {I}n conclusion, our statistical framework can be used for assessing satellite-derived fire patches. {F}urthermore, the temporal resolution of satellite sensors is the most important factor in identifying fire patches- thus space agencies should consider it when planning the future development of cost-effective climate observation systems.},
  keywords = {{F}unctional {B}eta {D}iversity ; {DGVM}s ; {E}ssential {C}limate {V}ariable ; {F}ire-{P}atch ; {M}orphology ; {F}ire {S}pread ; {F}lood-{F}ill {A}lgorithm ; {F}unctional {D}iversity ; {I}ndices ; {MERIS} ; {MODIS} ; {V}alidation},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {247},
  numero = {},
  pages = {111897 [15 ]},
  ISSN = {0034-4257},
  year = {2020},
  DOI = {10.1016/j.rse.2020.111897},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079345},
}