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.
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页数：5
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