Imaging spectroscopy- and lidar-derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamics

Geophysical Research Letters

Volumn 41, Issue 7, 2014, Pages 2535-2542

  Antonarakis, A S ^a   Munger, J W ^b   Moorcroft, P R ^a  

^a HARVARD UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

Carbon Fluxes; Ecosystem Dynamics; Forest Structure and Composition; Harvard Forest; Hyperspectral; Lidar

Indexed keywords

BIOSPHERICS; CARBON; COMPUTER SIMULATION; ECOSYSTEMS; FORECASTING; OPTICAL RADAR; REMOTE SENSING; STRUCTURE (COMPOSITION); VEGETATION;

CARBON FLUXES; ECOSYSTEM DYNAMICS; FOREST STRUCTURE; HARVARD FORESTS; HYPERSPECTRAL;

FORESTRY;

CARBON FLUX; ECOSYSTEM DYNAMICS; ENERGY FLUX; FOREST ECOSYSTEM; GROUND-BASED MEASUREMENT; LIDAR; PREDICTION; REMOTE SENSING; SATELLITE DATA; SPECTROSCOPY; WATER FLOW;

CARBON; ECOSYSTEMS; FOREST CANOPY; PLANTS; RADAR; REMOTE SENSING;

HARVARD FOREST; MASSACHUSETTS; UNITED STATES;

EID: 84897324429     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2013GL058373     Document Type: Article

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