Imaging spectroscopy- and lidar-derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamics
about
Modeling terrestrial carbon and water dynamics across climatic gradients: does plant trait diversity matter?The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux.Observing terrestrial ecosystems and the carbon cycle from space.A hyperspectral image can predict tropical tree growth rates in single-species stands.Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography.Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.Vegetation demographics in Earth System Models: A review of progress and priorities.The role of local-scale heterogeneities in terrestrial ecosystem modelingUsing multi-source data from lidar, radar, imaging spectroscopy, and national forest inventories to simulate forest carbon fluxes
P2860
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P2860
Imaging spectroscopy- and lidar-derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamics
description
article
@en
im April 2014 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у квітні 2014
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name
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@en
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@nl
type
label
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@en
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@nl
prefLabel
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@en
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@nl
P2093
P2860
P356
P1476
Imaging spectroscopy- and lida ...... fluxes and ecosystem dynamics
@en
P2093
A. S. Antonarakis
J. W. Munger
P. R. Moorcroft
P2860
P304
P356
10.1002/2013GL058373
P407
P577
2014-04-02T00:00:00Z