HR: 0800h
AN: B31B-0213    [Abstracts]
TI: Estimating Leaf Area Index From Fine Resolution Satellite Data Over a Boreal Forest
AU: * Rautiainen, M
EM: miina.rautiainen@helsinki.fi
AF: University of Helsinki, Department of Forest Ecology PO BOX 27 , Helsinki, 00014 Finland
AU: Knyazikhin, Y
EM: jknjazi@bu.edu
AF: Boston University, Department of Geography 675 Commonwealth Avenue, Boston, MA 02215 United States
AU: Stenberg, P
EM: pauline.stenberg@helsinki.fi
AF: University of Helsinki, Department of Forest Ecology PO BOX 27 , Helsinki, 00014 Finland
AU: Myneni, R B
EM: rmyneni@bu.edu
AF: Boston University, Department of Geography 675 Commonwealth Avenue, Boston, MA 02215 United States
AB: The leaf area index (LAI) is a key structural characteristic of vegetation due to the role of green leaves in controlling many biological and physical processes driving the exchange of matter and energy flow. LAI is the most important functional parameter of green vegetation and at the same time the main determinant of the spectral signal of the Earth's vegetated areas. The amount of leaf area responds rapidly to changes in climatic conditions and the subsequent decrease or increase in LAI is directly reflected in future biomass production. Monitoring of LAI is important in order to track changes in the size of the area covered by vegetation, to characterise the condition and growth potential of the terrestrial ecosystem as well as to identify carbon sinks. Our poster presents results from a MODIS LAI/FPAR field campaign organized at a boreal coniferous test site in northern Sweden in 2002. During the field campaign, an extensive data set comprising canopy LAI and structural and spectral properties was obtained to develop new methods for estimating LAI from fine resolution satellite data and to validate the MODIS LAI product. Here we present results from testing and applying the new methods over the study region.
DE: 1640 Remote sensing
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting