LINKING PLANT STRATEGIES (CSR) AND REMOTELY SENSED PLANT TRAITS

被引：0

作者：

Kattenborn, Teja ^{[1
]}

Lopatin, Javier ^{[1
]}

Fassnacht, Fabian ^{[1
]}

Schmidtlein, Sebastian ^{[1
]}

机构：

[1] KIT, IfGG, Karlsruhe, Germany

来源：

2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2016年

关键词：

PROSAIL; CSR; Plant traits; RTM; CANOPY BIOPHYSICAL VARIABLES; LEAF-AREA INDEX; REFLECTANCE; GRASSLAND; MODEL; INVERSION; ECONOMICS; PROSPECT;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

The widely established CSR-model quantitatively groups plants according to their ecological response, i.e. competitiveness, stress-toleration and ruderality. These plant strategies are allocated using plant traits. We assess the potential of canopy traits derived by imaging spectroscopy and inverted radiative transfer models for allocating CSR-scores. Our findings indicate that plant traits (LAI, Cab, Car and SLA) are valuable 'soft traits' to map plant strategies.

引用

页数：5

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