@article{fdi:010068209,
  title = {{E}quatorial forests display distinct trends in phenological variation : a time-series analysis of vegetation index data from three continents},
  author = {{C}herrington, {E}. {A}. and {B}arbier, {N}icolas and {P}loton, {P}ierre and {V}incent, {G}r{\'e}goire and {S}abatier, {D}aniel and {B}erger, {U}. and {P}{\'e}lissier, {R}apha{\¨e}l},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent studies have questioned the applicability of satellite-derived vegetation indices ({VI}s) for evaluating phenological variation in tropical forests, due to potential artifacts caused by the bidirectional reflectance distribution function ({BRDF}). {F}or nadir-normalized data, {BRDF} will be driven principally by intraannual variation in solar elevation. {W}here areas lying on the same latitude are under similar solar elevation "regimes," if the observed variation in {VI}s is indeed driven by {BRDF}, then different regions at the same latitude should display identical {VI} variations. {T}hat hypothesis was tested by comparing {VI} data for tropical evergreen forests in three zones north of the equator (the {G}uianas, central {A}frica, and northern {B}orneo). {E}nhanced vegetation index, the fraction of green vegetation cover, and leaf area index ({LAI}) from {MODIS} and {SPOT} {VEGETATION} ultimately showed that {VI} trends for the regions differ greatly. {T}he trend for {B}orneo's forests is generally flat over the 12 years studied, while data for the {G}uianas and central {A}frica both exhibit strong but distinct seasonal patterns. {C}orrelation analyses indicate that the {VI} trends between zones are neither strongly correlated to each other nor to variation in solar elevation (except in central {A}frica), suggesting that the observed variation in the {VI}s is not driven by {BRDF}. {I}n contrast, regression analysis indicated that for the {G}uianas and central {A}frica, {VI} variation was most explained by variation in environmental factors, but not atmospheric effects, suggesting seasonally driven phenology.},
  keywords = {{E}nvironmental factors ; forestry ; spectral analysis ; remote sensing ; tropical regions ; vegetation ; {GUYANE} {FRANCAISE} ; {SURINAME} ; {GUYANA} ; {BRESIL} ; {GUYANES} {PLATEAU} ; {AFRIQUE} {CENTRALE} ; {CAMEROUN} ; {GUINEE} {EQUATORIALE} ; {CENTRAFRIQUE} ; {NIGERIA} ; {GABON} ; {CONGO} ; {BORNEO} ; {BRUNEI} ; {MALAISIE} ; {INDONESIE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {9},
  numero = {8},
  pages = {3505--3511},
  ISSN = {1939-1404},
  year = {2016},
  DOI = {10.1109/jstars.2016.2566670},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068209},
}