@article{fdi:010085999,
  title = {{S}tability in time and consistency between atmospheric corrections : assessing the reliability of {S}entinel-2 products for biodiversity monitoring in tropical forests},
  author = {{C}hraibi, {E}. and de {B}oissieu, {F}. and {B}arbier, {N}icolas and {L}uque, {S}. and {F}eret, {J}. {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}arth observation satellite imagery is increasingly accessible, and has become a key component for vegetation mapping and monitoring. {S}entinel-2 satellites acquire optical images with five days' revisit frequency, which is an important feature to increase the probability of acquisition with reasonable cloud cover in tropical regions. {R}egular and reliable satellite observations open perspectives for the monitoring of vegetation properties and biodiversity. {A}tmospheric correction methods ({ACM}s) producing bottom-of-atmosphere ({BOA}) reflectance are critical to ensure temporal consistency of higher-level products and optimal sensitivity to changes in vegetation properties. {S}till their application in tropical regions remains challenging due to complex atmospheric issues. {T}his study aims at performing {ACM} inter-comparison in the context of tropical forest monitoring. {W}e produced {BOA} reflectance for a set of {S}entinel-2 acquisitions corresponding to a forested area in {C}ameroon, using four atmo-spheric correction methods: {S}en2cor, {MAJA}, {O}verland and {L}a{SRC}. {W}e selected five successive acquisitions with moderate to no cloud cover, and computed a set of spectral indices and spectral diversity metrics in order to compare the consistency of these products through time, under the hypothesis that they should remain stable over a short period. {W}e also assessed the agreement between atmospheric correction methods. {T}wo spatial ex-tents were used for the computation of spectral diversity metrics to assess the robustness of the data-driven processes applied to compute spectral diversity. {W}e found that the choice of an {ACM} did have a significant impact on {BOA} reflectance and higher-level products. {I}n the visible domain, {O}verland and {L}a{SRC} produced consistent {BOA} reflectance values, while {MAJA} and {S}en2{C}or showed strong variability which could not be explained by changes in surface properties. {T}his directly influenced the temporal consistency of {NDVI}. {Y}et, the influence on the temporal consistency for {EVI} and {NDWI} was moderate. {S}pectral diversity metrics were consistent through time for all methods, but to a lesser degree than vegetation indices. {W}hen comparing the mean values over the period considered, vegetation indices were stable across methods, but not diversity metrics. {S}patial context changes had an impact on the {S}hannon index, but not on {B}ray-{C}urtis dissimilarity. {T}hese results suggest that the choice of {ACM} has major potential implications for tropical forest monitoring.},
  keywords = {{BOA} reflectance ; {MAJA} ; {L}a{SRC} ; {O}verland ; {S}en2cor ; biodiv{M}ap{R} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {A}pplied {E}arth {O}bservation and {G}eoinformation},
  volume = {112},
  numero = {},
  pages = {102884 [14 p.]},
  ISSN = {1569-8432},
  year = {2022},
  DOI = {10.1016/j.jag.2022.102884},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085999},
}