Elnaz Neinavaz

1. Metadata Standards in
CKAN for Biodiversity Pilot
Andrew Skidmore a, Elnaz Neinavaz a, Roshanak Darvish a,
Sander Mucher b, Wouter Meijninger b, Stephan Hennekes b
a Dept. of Natural Resources, Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, Enschede, the Netherlands
b Alterra, Wageningen UR, Wageningen, The Netherlands
5th March 2018

2. Pilot 6.2.1 Biodiversity
Subtask 6.2.1
Demonstrate the value of an European data hub for the creation of RS-EBVs (i.e., Remote sensing- Essential biodiversity
variables), which leads to creating a GEO hub for EBVs by linking the key policy/user network groups (GEOBON, CBD and
IPBES) with the space agencies (via CEOS).
Pilot status with respect to the integration with the NextGEOSS European Data hub & Platform
NextGEOSS data hub will be populated with existing and new RS-enabled EBVs.
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3. EBVs proposed by:
Skidmore, A. K., & Pettorelli, N. (2015). Agree on biodiversity metrics to track from space: ecologists and
space agencies must forge a global monitoring strategy. Nature, 523 (7561), 403-406
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Leaf area
index
Ecosystem
distribution
Inundation
Fragmentati
on
heterogenei
ty
Species
occurrence
Plant traits
Fire
occurrence
Vegetation
phenology
Land cover
Vegetation
height
Identification of available RS-EBV products
Observation
Satellite
In situ
measurement

4. ➢ Identificationof available RS-EBV productsconsidering the resolution and scales
EBVs
Species occurrence NL
Species distribution Europe
Vegetationheight NL
point density 8 per
m2 for AHN-3
Land cover
Europe
20-1000m
resolution
Global 300 m resolution
Fire occurrence Global
250-1000 m
resolution
Phenology Global
250-1000 m
resolution
Leaf area index Global
300-1000m
resolution
Net primary
productivity
Global
500-1000m
resolution
Satellite
MODIS/Terra
MODIS/A
qua
SPOT-
VGT,
PROBA-V
Most available RS-EBVs produce using MODIS and SPOT data
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LAI
MODIS SPOT

5. Raw data Platform
Pre- processing of
the data
Applying
algorithms to
predict EBVs
Visualize output
in map
Study area in biodiversity pilot (NextGEOSS)
The Netherlands
Bavaria Forest National Park (Germany)
Sentinel-2
High
resolution
data
User
NextGEOSSEuropean Data hub and RS-EBVs
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Atmospheric
correction
Resampling
Univariate
Multivariate
Machinelearning
approaches

6. 6
MetadataStandardSchemas and EBVs
Element Definition
Contributor An entity responsible for making contributions the resource
Coverage The spatial or temporal topic of the resource, the spatial
applicability of the resource , or the jurisdiction under which the
resource is relevant
Creator An entity primarily responsible for making the resource
Date A point or period of time associated with an event in the lifecycle
of the resource
Description An account of the resource
Format The file format, physical medium or dimensions of the resource
Identifier An unambiguous reference to the resource within a given context
Language A language of the resource
Publisher An entity responsible for making the resource available
Relation A related resource
Rights Information about rights held in and over the resource
Source A related resource from which the described resource is derived
Subject The topic of the resource
Title A name given to the resource
Type The nature or genre of the resource
Input (raw data)
Modelling
Output (in map)
Metadata
Metadata
DublinCore
GeoDCAT
ISO 19115
…

7. Thank you for your attention!
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