Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

Remote Sensing of Environment

Volumn 131, Issue , 2013, Pages 85-102

  Malenovský, Zbyněk ^a,b   Homolová, Lucie ^b,c   Zurita Milla, Raúl ^d   Lukeš, Petr ^e   Kaplan, Věroslav ^e   Hanuš, Jan ^e   Gastellu Etchegorry, Jean Philippe ^f   Schaepman, Michael E ^b  

^a UNIVERSITY OF TASMANIA   (Australia)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d UNIVERSITY OF TWENTE   (Netherlands)

^e INSTITUTE OF MATHEMATICS   (Czech Republic)

^f CNES   (France)

Author keywords

AISA; Chlorophyll retrieval; Continuum removal; DART; High spatial resolution; Imaging spectroscopy; Norway spruce; Optical indices; PROSPECT; Radiative transfer

Indexed keywords

AISA; CONTINUUM REMOVAL; DART; HIGH SPATIAL RESOLUTION; IMAGING SPECTROSCOPY; NORWAY SPRUCE; OPTICAL INDICES; PROSPECT;

NEURAL NETWORKS; PLANTS (BOTANY); RADIATIVE TRANSFER; REFLECTION; SPECTROMETERS;

CHLOROPHYLL;

ACCURACY ASSESSMENT; AIRBORNE SENSING; ARTIFICIAL NEURAL NETWORK; CANOPY ARCHITECTURE; CANOPY REFLECTANCE; CHLOROPHYLL; DATA PROCESSING; FORESTRY; IMAGE ANALYSIS; LEAF; REMOTE SENSING; SIMULATION;

PICEA; PICEA ABIES;

EID: 84872325934     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.12.015     Document Type: Article

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