Spectral Information System EcoSIS Integration of Spectral Data with Measurements of Vegetation Functional Traits Alphabetically Phil Dennison University of Utah John Gamon University of Alberta ID: 505356
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Slide1
Ecosystem Spectral Information System (EcoSIS):
Integration of Spectral Data with Measurements of Vegetation Functional Traits
Alphabetically:
Phil Dennison, University of Utah
John
Gamon
, University of Alberta,
SpecNet
Simon Hook and Rob Green, JPL
Shelley
Petroy
and Tom
Kampe
, NEON, Inc.
Dar Roberts, UC-Santa Barbara
Phil Townsend and Shawn
Serbin
, University of Wisconsin
Susan
Ustin
, UC-Davis
Art
Zygielbaum
, University of Nebraska
…..and…..
You!Slide2
Why Spectral Libraries?
Tool for discovery.
Characterize the diversity of function and its variability on earth.
Document species characteristics and map them.
…and
m
etadata to ensure inter-comparability.
Tools to facilitate the synthesis of large data sets by community.
P
recedents:
Aster
Spectral
Library
Deliver
scientifically vetted data to an international and open community of
researchers…Slide3
Sugar Maple
Red Oak
Hemlock
Black Spruce
Red PineSlide4
Maple
Pine
Broadleaf trees
Conifer trees
Leaf-level spectraSlide5
Genotypes of aspen.
Different reflectance.
Different chemistry.
Soybeans: same variety, different levels of pest pressure.
Milkweed.
Rapidly induced chemical defenses to perturbations.Slide6
G. Pastorello
and J. Gamon
Plant stress and mitigation
Spectral data serve as “proxy” measurements for all ranges of underlying properties and functions in ecosystems that are costly, impractical, inconvenient or impossible to otherwise characterize at broad spatial and temporal scales.Slide7
EcoSIS
Deliverable
EcoSIS
Public Database
Spectral Library
(0.35-13.0
μm
)
Metadata
Associated measurements
(species, chemistry, etc.)
Visualization, Query, Discovery
EcoSIS
Tools
(Open Source)
EcoSIS
Activities
(lead institutions)
Develop Database Back-End
(UC-Davis, JPL)
Develop
EcoSIS
User Interface
(UC-Davis, JPL, UW)
Populate
EcoSIS
(all members, coordinated by UW)
Metadata Standards
(UW, NEON, Alberta, UNL)
EcoSIS
Tools
(UW, Alberta, community)
Best Practices
(UCSB, NEON, Alberta, UNL)
Accommodation of Legacy and New Data Sets
Evolution of Open-source Tools for Discovery & Analysis
Development of a Broader
EcoSIS
User Community
Synthesis
Studies &
Meta-Analyses
QAQC, Error Assessment
(UW, JPL)
Growth of
EcoSIS
to Reflect Evolving Science Needs
EcoSIS
Outcomes
(via community engagement)Slide8
c/o Andy
Hueni
International linkages are important:
Moving Forward:
Community participation is essential:
Decision-making open process
Review/oversight committee
Your data contributions to
EcoSISOpen source data and toolsVirtual meetings, side meetings at AGU, etc.
join-ecosis-community@lists.wisc.edu