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TitreSystematic mapping of Leaf Area Index across Canada using 250-meter MODIS data
AuteurRochdi, N; Fernandes, R
SourceRemote Sensing of Environment vol. 114, no. 5, 2010 p. 1130-1135, https://doi.org/10.1016/j.rse.2009.12.014
Année2010
Séries alt.Ressources naturelles Canada, Contribution externe 20181128
ÉditeurElsevier BV
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.1016/j.rse.2009.12.014
Mediapapier; en ligne; numérique
Formatspdf
Sujetstélédétection; géophysique
ProgrammeGéosciences de changements climatiques
Résumé(disponible en anglais seulement)
An approach to generate a 250-meter Canada wide Leaf Area Index (LAI) map using 250-meter MODIS data is described. The full processing chain is introduced. The approach is based on intercalibration of Landsat and MODIS vegetation indices (VI's) combined with LAI-VI's empirical relationships. Preliminary validation over two sites where field work was carried out shows promising results. Intercalibration of MODIS VI's before deriving LAI maps provides up to 65% improvement of the LAI overall accuracy.
GEOSCAN ID311482