Using hyperspectral remote sensing data for retrieving canopy chlorophyll and nitrogen content

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 2, 2012, Pages 574-583

  Clevers, Jan G P W ^a   Kooistra, Lammert ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Chlorophyll; hyperspectral; nitrogen; PROSAIL; remote sensing; spectroscopy

Indexed keywords

CANOPY CHLOROPHYLL; CHLOROPHYLL CONTENTS; CHLOROPHYLL INDEX; DATA SETS; FIELD DATA; HYPERION; HYPERSPECTRAL; HYPERSPECTRAL REFLECTANCE; HYPERSPECTRAL REMOTE SENSING DATA; LEAF AREA INDEX; LINEAR ESTIMATORS; N CONTENT; NITROGEN CONTENT; NON-LINEAR RELATIONSHIPS; PHOTOSYNTHETIC CAPACITY; PLANT PIGMENTS; PLANT STRESS; POTENTIAL VALUES; PRIMARY PRODUCTION; PROSAIL; RADIATIVE TRANSFER MODEL; RED EDGE; REMOTE SENSING TECHNIQUES; SAMPLING INTERVAL; SAMPLING LOCATION; STUDY SITES;

ESTIMATION; NITROGEN; REMOTE SENSING; SPECTROSCOPY;

CHLOROPHYLL;

BIOMASS; CANOPY REFLECTANCE; CHLOROPHYLL; FEN; HYPERION; LEAF AREA INDEX; MERIS; NITROGEN; PIGMENT; RADIATIVE TRANSFER; REMOTE SENSING; SATELLITE DATA; SPECTRAL ANALYSIS; SPECTRAL REFLECTANCE;

HYPERION; SOLANUM TUBEROSUM;

EID: 84861758703     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2176468     Document Type: Article

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