@article{fdi:010069341,
  title = {{C}an we go beyond burned area in the assessment of global remote sensing products with fire patch metrics ?},
  author = {{N}ogueira, {J}. {M}. {P}. and {R}uffault, {J}. and {C}huvieco, {E}. and {M}ouillot, {F}lorent},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobal burned area ({BA}) datasets from satellite {E}arth observations provide information for carbon emission and for {D}ynamic {G}lobal {V}egetation {M}odel ({DGVM}) benchmarking. {F}ire patch identification from pixel-level information recently emerged as an additional way of providing informative features about fire regimes through the analysis of patch size distribution. {W}e evaluated the ability of global {BA} products to accurately represent morphological features of fire patches, in the fire-prone {B}razilian savannas. {W}e used the pixel-level burned area from {LANDSAT} images, as well as two global products: {MODIS} {MCD}45{A}1 and the {E}uropean {S}pace {A}gency ({ESA}) fire {C}limate {C}hange {I}nitiative ({FIRE}_{CCI}) product for the 2002-2009 time period. {I}ndividual fire patches were compared by linear regressions to test the consistency of global products as a source of burned patch shape information. {D}espite commission and omission errors respectively reaching 0.74 and 0.81 for {ESA} {FIRE}_{CCI} and 0.64 and 0.62 for {MCD}45{A}1 when compared to {LANDSAT} due to missing small fires, correlations between patch areas showed {R}-2 > 0.6 for all comparisons, with a slope of 0.99 between {ESA} {FIRE}_{CCI} and {MCD}45{A}1 but a lower slope (0.6-0.8) when compared to the {LANDSAT} data. {S}hape complexity between global products was less correlated ({R}-2 = 0.5) with lower values ({R}-2 = 0.2) between global products and {LANDSAT} data, due to their coarser resolution. {F}or the morphological features of the ellipse fitted over fire patches, {R}-2 reached 0.6 for the ellipse's eccentricity and varied from 0.4 to 0.8 for its azimuthal directional angle. {W}e conclude that global {BA} products underestimate total {BA} as they miss small fires, but they also underestimate burned patch areas. {P}atch complexity is the least correlated variable, but ellipse features appear to provide information to be further used for quality product assessment, global pyrogeography or {DGVM} benchmarking.},
  keywords = {fire ; remote sensing ; savannas ; {MODIS} {MCD}45{A}1 ; {ESA} {FIRE}_{CCI} ; {LANDSAT} ; patch indices ; burned patch ; patch shape ; {BRESIL}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {9},
  numero = {1},
  pages = {art. 7 [18 p.]},
  ISSN = {2072-4292},
  year = {2017},
  DOI = {10.3390/rs9010007},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069341},
}