Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived from the PROSPECT Model

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

Volumn 8, Issue 6, 2015, Pages 3172-3182

  Wang, Zhihui ^a,b   Skidmore, Andrew K ^a   Darvishzadeh, Roshanak ^a   Heiden, Uta ^c   Heurich, Marco ^d   Wang, Tiejun ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b RMIT UNIVERSITY   (Australia)

^c GERMAN AEROSPACE CENTER DLR   (Germany)

^d BAVARIAN FOREST NATIONAL PARK   (Germany)

Author keywords

Hyperspectral remote sensing; leaf nitrogen; leaf traits; PROSPECT model

Indexed keywords

ALGORITHMS; CHLOROPHYLL; ITERATIVE METHODS; LINEAR REGRESSION; OPTIMIZATION; REGRESSION ANALYSIS; REMOTE SENSING;

DIRECTIONAL HEMISPHERICAL REFLECTANCES; EQUIVALENT WATER THICKNESS; HYPERSPECTRAL REMOTE SENSING; ITERATIVE OPTIMIZATION ALGORITHMS; LEAF NITROGEN; LEAF TRAITS; MULTIPLE LINEAR REGRESSION MODELS; PROSPECT MODEL;

NITROGEN;

DATA INVERSION; LEAF; NITROGEN; NUMERICAL MODEL; REMOTE SENSING;

EID: 85027932317     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2422734     Document Type: Article

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