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Remote sensing of plant functional types
by
Ustin, Susan L.
, Gamon, John A.
in
anatomy & histology
/ classification
/ continuous fields
/ discrete and continuous ecological traits
/ Ecologists
/ Ecology
/ Economics
/ Ecosystems
/ Environmental conditions
/ environmental factors
/ Forest canopy
/ functional groups
/ imaging spectroscopy
/ instrumentation
/ Instruments
/ Land cover
/ LiDAR (light detection and ranging)
/ Models, Biological
/ optical types
/ Physiology
/ Pixels
/ plant functional types (PFT)
/ Plant Leaves
/ Plant Leaves - anatomy & histology
/ plant response
/ Plants
/ Plants - classification
/ Remote sensing
/ Resources
/ Satellite Communications
/ Satellite Communications - instrumentation
/ Species
/ Species classification
/ Spectral reflectance
/ Sustainable agriculture
/ Tansley reviews
/ Taxonomy
/ Vegetation
/ vegetation types
2010
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Remote sensing of plant functional types
by
Ustin, Susan L.
, Gamon, John A.
in
anatomy & histology
/ classification
/ continuous fields
/ discrete and continuous ecological traits
/ Ecologists
/ Ecology
/ Economics
/ Ecosystems
/ Environmental conditions
/ environmental factors
/ Forest canopy
/ functional groups
/ imaging spectroscopy
/ instrumentation
/ Instruments
/ Land cover
/ LiDAR (light detection and ranging)
/ Models, Biological
/ optical types
/ Physiology
/ Pixels
/ plant functional types (PFT)
/ Plant Leaves
/ Plant Leaves - anatomy & histology
/ plant response
/ Plants
/ Plants - classification
/ Remote sensing
/ Resources
/ Satellite Communications
/ Satellite Communications - instrumentation
/ Species
/ Species classification
/ Spectral reflectance
/ Sustainable agriculture
/ Tansley reviews
/ Taxonomy
/ Vegetation
/ vegetation types
2010
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Do you wish to request the book?
Remote sensing of plant functional types
by
Ustin, Susan L.
, Gamon, John A.
in
anatomy & histology
/ classification
/ continuous fields
/ discrete and continuous ecological traits
/ Ecologists
/ Ecology
/ Economics
/ Ecosystems
/ Environmental conditions
/ environmental factors
/ Forest canopy
/ functional groups
/ imaging spectroscopy
/ instrumentation
/ Instruments
/ Land cover
/ LiDAR (light detection and ranging)
/ Models, Biological
/ optical types
/ Physiology
/ Pixels
/ plant functional types (PFT)
/ Plant Leaves
/ Plant Leaves - anatomy & histology
/ plant response
/ Plants
/ Plants - classification
/ Remote sensing
/ Resources
/ Satellite Communications
/ Satellite Communications - instrumentation
/ Species
/ Species classification
/ Spectral reflectance
/ Sustainable agriculture
/ Tansley reviews
/ Taxonomy
/ Vegetation
/ vegetation types
2010
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Journal Article
Remote sensing of plant functional types
2010
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Overview
Conceptually, plant functional types represent a classification scheme between species and broad vegetation types. Historically, these were based on physiological, structural and/or phenological properties, whereas recently, they have reflected plant responses to resources or environmental conditions. Often, an underlying assumption, based on an economic analogy, is that the functional role of vegetation can be identified by linked sets of morphological and physiological traits constrained by resources, based on the hypothesis of functional convergence. Using these concepts, ecologists have defined a variety of functional traits that are often context dependent, and the diversity of proposed traits demonstrates the lack of agreement on universal categories. Historically, remotely sensed data have been interpreted in ways that parallel these observations, often focused on the categorization of vegetation into discrete types, often dependent on the sampling scale. At the same time, current thinking in both ecology and remote sensing has moved towards viewing vegetation as a continuum rather than as discrete classes. The capabilities of new remote sensing instruments have led us to propose a new concept of optically distinguishable functional types ('optical types') as a unique way to address the scale dependence of this problem. This would ensure more direct relationships between ecological information and remote sensing observations.
Publisher
Oxford, UK : Blackwell Publishing Ltd,Blackwell Publishing,Blackwell Publishing Ltd,Wiley Subscription Services, Inc
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