This study investigates the performances in a terrestrial ecosystem of gross primary production (GPP) estimation of a suite of spectral vegetation indexes (VIs) that can be computed from currently orbiting platforms. Vegetation indexes were computed from near-surface field spectroscopy measurements collected using an automatic system designed for high temporal frequency acquisition of spectral measurements in the visible near-infrared region. Spectral observations were collected for two consecutive years in Italy in a subalpine grassland equipped with an eddy covariance (EC) flux tower that provides continuous measurements of net ecosystem carbon dioxide (CO2) exchange (NEE) and the derived GPP.

Remote sensing-based estimation of gross primary production in a subalpine grassland

SINISCALCO, Maria Consolata;
2012

Abstract

This study investigates the performances in a terrestrial ecosystem of gross primary production (GPP) estimation of a suite of spectral vegetation indexes (VIs) that can be computed from currently orbiting platforms. Vegetation indexes were computed from near-surface field spectroscopy measurements collected using an automatic system designed for high temporal frequency acquisition of spectral measurements in the visible near-infrared region. Spectral observations were collected for two consecutive years in Italy in a subalpine grassland equipped with an eddy covariance (EC) flux tower that provides continuous measurements of net ecosystem carbon dioxide (CO2) exchange (NEE) and the derived GPP.
9
2565
2584
http://dx.doi.org/10.5194/bg-9-2565-2012
M. Rossini; S. Cogliati; M. Meroni; M. Migliavacca; M. Galvagno; L. Busetto; E. Cremonese; T. Julitta; C. Siniscalco; U. Morra di Cella; R. Colombo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/104222
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