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Lessons learned from ConnectinGEO:
ConnectinGEO gap analysis methodology and
results in the GEOSS in-situ datasets.
Joan Masó
May 10th, 2017
1:30 - 3:00
Onyx Room ISRSE37
This project received funding from the European Union’s Horizon 2020 research and
innovation programme under grant agreement No 641538
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
ConnectinGEO in brief
• H2020 funded project that lasted 2 years
(641538) in the Societal Challenge 5
“Climate action, environment, resource
efficiency and raw materials”
• A contribution of the EU to EO and
GEOSS
• Coordinate and Support Action (CSA)
• Consortium of15 partners
• Finalized in February 2017
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
• Conduct a gap analysis in GEOSS with focus in
• Europe
• In-situ
• Start an European Network of Earth Observation Networks
• Active
• Useful
• Help the EC in creating community around GEOSS
Project aims
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
• Analyze the role of EO in the SDG in
• monitoring
• implementation
• Participate in the EVs development
• Spread the idea of the EVs to other domains
• An Observation Inventory and a Knowledge base
Project bonus
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
ConnectinGEO TeamCore TeamConceptual
Thematic
Industry
Technical
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
GAP ANALISYS. A MIXTURE
OF TOP-DOWN AND BOTTOM-
UP APPROACHES.
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
BONUS 1:
SDG. TOP-DOWN APPROACH
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Sustainable Development Goals
There is a need to monitor the achievement of the
SDG. Some targets for each SDG and indicators for
each target has been defined.
This need to be done in a quantifiable manner
• Socieoconomical data
• Earth observation data
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Sustainable Development Goals with EO• Goal 2: End hunger, achieve food security and
improved nutrition and promote sustainable agriculture
• Goal 3: Ensure healthy lives and promote wellbeing for all at all ages
• Goal 6: Ensure availability and sustainable management of water and sanitation for all
• Goal 7: Ensure access to affordable, reliable, sustainable and modern energy for all,
• Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable
• Goal 13: Take urgent action to combat climate change and its impacts
• Goal 14: Conserve and sustainably use the oceans, seas and marine resources for sustainable development
• Goal 15: Protect, restore and promote sustainable use of terrestrial ecosystems,sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
SDGs assessment with EVs
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
BONUS 2:
EV: TOP- DOWN APPROACH
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
EV’s. The Climate people got it first
http://ceos.org/wp-content/uploads/2015/10/GCOS_poster_FINAL.jpg
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
ECV: Essential Climatic Variables but not only
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
ConnectinGEO and GEO Workshop in Bari
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
• The domains with a more mature development of EV lists
are Climate, Ocean and Biodiversity.
• The Water domain is also maturing a set of EVs in
GEOSS.
• There are also domains that are working with a common
set of variables that can be considered essential for them.
• Spotting overlaps
Status
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
• Agricultural monitoring is conducted both by the USA and EU in a similar way; Crop Area, Crop Type, Crop Condition, etc., are obvious candidates for Agriculture EV’s.
• Ecosystems is a cross-domain area that can make use of existing sets of EVs (such as ECVs, EOVs and EBVs) complemented by socioeconomic variables
• Renewable energy can also make use of the ECVs but there is a need for additional variables. For example, solar surface irradiance and wind at different levels next to the ground are good candidates to explore.
• The Disaster SBA is one of the most heterogeneous areas dealing with disasters caused by a wide range of natural and anthropogenic hazards. • Different sets of EVs are required fro the different hazards, the vulnerability
of exposed assets, and the impacts of the hazards on communities.
• In particular, socioeconomic EVs are required to characterize vulnerability and resilience (e.g., demographics, availability of public services, productive infrastructures, etc.) and to measure the extent of the hazard impacts on human societies leading to disasters.
Other domains are close
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
BONUS 3:
OBSERVATION INVENTORY
BOTTOM-UP APPROACH
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
• The concept of enrichers to add automatic metadata fields
for easy query about
EVs and detect gaps
Observation inventory database schema
and queryable fields
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
AIM 1:
GAP ANALISYS
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Overall approach for gaps
Observation
needs
Observation
inventory
EV and
gap
analysis
Priorities
SDG
indicators
S&T
stakeholders
network.
(Models and
forecast)Industry
stakeholders
& Industry
Challenges
Sustainable
development
goals
Consultation process
Challenge
outcomes
Consultation process
UN report
Previous
inventories &
analysis
Observation
networks and
CoPs
SEE IN
Knowl.
Base
National
and
regional
actions and
funding
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Example: Gap 18• Gap type: No measured (7.1)
Status: Detected (1)Theme: Energy (EN)Other Themes: EV: EVOther EV: Gap description: In mineral resources there is the lack dedicated EO system or program and currently use EO systems and programs from other SBAs.Thread: Research programs targets (2)RS/In-Situ: BothEditor: Guillem ClosaAmbassador: Traceability: CA-06. GEO 2016 WORK PROGRAMMEPurpose: Develop global coverage by high-spectral resolution sensorsDate: Review: Remedy: Feasibility: Low (1)Feasibility rational: the technology and communication standards are availableImpact: Very high (4)Impact rational: in-situ data is crucial in early warningCost: Low (1)Cost rational: not much added cost regarding exixting technologies; it's more a matter of real application in practiceTimeframe: Short term (1)Time rational: Priority: High (3)Priority rational: Recommendation:
http://tinyurl.com/EOgaps
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Geo
grap
hic
alex
ten
t(1
.1)
Ver
tica
l ext
ent
(1.2
)
Tem
po
ral e
xten
t (1
.3)
Spat
ial r
eso
luti
on
(2
.1)
Ver
tica
l res
olu
tio
n(2
.2)
Tem
po
ral
reso
luti
on
(2.3
)
Un
cert
ain
ty (
3.1
)
Geo
grap
hic
alin
con
sist
ency
(4.1
)
Tem
po
ral
inco
nsi
sten
cy (
4.2
) B
ou
nd
ary
con
dit
ion
s is
sue
(4.3
)
No
cat
alo
gue
(5.1
)
Cat
alo
gue
satu
rati
on
(5
.2)
Can
no
t b
e vi
ewed
(5
.3)
No
eas
yac
cess
(5.4
)
No
n w
ell k
no
wn
fo
rmat
(5
.5)
No
pro
cess
able
(5.6
)
Un
kno
wn
sem
anti
cs(5
.7)
No
fas
t ac
cess
to
b
ig d
ata
(5.8
)
No
acc
ess
(6.1
)
No
op
en a
cces
s (6
.2)
No
qu
alit
y (6
.3)
No
pro
ven
ance
(6
.4)
Bad
met
adat
a (6
.5)
No
met
adat
a (6
.6)
No
mea
sure
d (
7.1
)
No
par
amet
er (
7.2
)
No
inte
rdis
cip
linar
y co
ord
. (8
.1)
No
co
ord
inat
ion
of
ob
s. s
ites
(8
.2)
AgV 6 1 7B_CCT 1 1B_EFDR 1 1B_GCA 1 1B_GCB 1 1B_GCC 1 1B_GCP 1 1B_SPA 1 1B_SPD 1 1B_SPS 1 1C_AGB 1 1C_C 1 1 1 1 4C_CD 1 1 1 1 4C_CLD 1 1 2 3 1 8C_CO2 5 10 1 2 2 2 1 1 1 25C_FIRE 1 1C_GHG 9 10 1 2 2 1 1 1 1 28C_GLA 6 2 8C_ICE 2 2C_LAI 1 1C_LAK 1 1 2C_LCV 1 1 1 1 1 5C_O3A 2 13 2 6 16 1 2 2 2 1 1 2 1 51C_OAS 1 1 1 1 4C_OC 2 1 1 1 1 1 1 8C_OOD 1 1 1 1 4C_PAS 4 1 1 1 7C_PFR 3 3C_PLK 1 1C_PRE 4 1 1 6C_RAS 1 1 1 3C_RIV 1 1 2C_SALD 2 1 1 1 5C_SICE 2 4 6C_SL 1 1 2 1 1 1 7C_SNC 1 1C_SS 2 1 2 1 1 1 8C_SSS 3 3 1 1 1 1 1 11C_SST 5 1 2 1 1 1 11C_TAS 1 1 2C_TD 2 1 1 1 1 1 7C_TU 1 2 18 1 2 2 1 1 3 1 32C_WAS 1 1 1 3C_WNU 1 1C_WTS 1 1C_WVAS 1 1 2C_WVU 2 7 1 17 2 2 2 1 1 4 1 40E_LULC 1 1 2E-BAT 1 1EBV 1 2 1 1 1 1 7E-CUR 1 1ECVA 1 1 1 3E-ELEV 1 1E-OFL 1 1EOV 1 1EREV 1 1E-SSI 1 1E-TDL 1 1EV 1 1 2 2 1 7N_ACO 1 1 2N_APOL 4 1 5N_NOI 1 1O_CAR 1 1O_NUT 1 1O_TRTR 1 1W_EVA 1 1W_Q 1 1
48 5 54 7 3 35 91 8 1 1 3 7 10 11 10 2 4 0 3 3 19 1 6 1 26 6 2 4 371
• 91 gaps address a to high uncertainty information. Lack of quality
measures is also the concern in 18 gaps.
• 102 gaps address the spatial and temporal extent are other data
characteristics that score many gaps. In 35 cases, the gaps address
temporal resolution of the data.
• There are still some concerns about data access issues and these are
• reflected in 31 gaps.
• 26 gaps reveals concerns about EVs that are not measured, mainly in
the biodiversity theme and to a lesser amount in the ocean and
atmospheric composition themes.
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Criteria for gap priorities
Observation
needs
Observation
inventory
EV and
gap
analysis
Prioritiy
(p)
Feasibility (f)
Costs (c)
Impact (i)
Feasibility
Impact
Costs
1st target
2nd target
Time frame (t)
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Priorities• Quantitative:
• Lack of continuity and uniform temporal sampling in time series (CGT-174; p = 16). • Remedy: Implement data fusion techniques to generated regular interpolated samples.
• Lack of tidal, ocean currents and water elevation prediction services (CGT-175; p = 12)• Remedy: Implement a forecast system based on recent data.
• Lack of tools for Big Data analysis: merge time series, proper map and statistics visual representation, (CGT-176; p = 12),
• Remedy: develop the tools for big data analysis and visualization.
• Insufficient accounting for environmental variables in SDG indicators (SDG-GP-2; p = 12)• Remedy: integration of socio-economic and environmental data.
• Skills required for matching providers and policy makers (SDG-GP-6; p = 12), • Remedy : develop educational programs that focus on inter-sectorial skills.
• Expert assessment • Lack of LIDAR global dataset (CGT-023).
• Remedy: Design and execute a satellite mission
• Lack of sufficient spatial coverage for many climatic applications, specially in the Southern hemisphere (CGT-092)
• Remedy: extend spatially the number of mooring sites with current meters at least for key dynamic areas (e.g., main energetic currents, Aghulas retroflection, Malvinas confluence) particularly in the Southern ocean.
• No European in-situ cross-domain coordination initiative (CGT-219)• Remedy: Implemented through the European Network of Earth Observation Networks (ENEON).
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
AIM2:
ENEON
European Network of Earth Observation Networks
for in-situ coordination in Europe
Joan Masó
May 11th, 2017
3:30 - 5:00
Crystal Room ISRSE37
This project received funding from the European Union’s Horizon 2020 research and
innovation programme under grant agreement No 641538
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
AIM3: COMMUNITY
CREATION IN GEOSS
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Workshops
WS1: GEOSS Science and
Technology Stakeholder
Network (GSTSN). March 23-
25, 2015 in Norfolk, VA, USA
WS2: Towards a sustainability
process for GEOSS Essential
Variables (EVs). June 11-12,
2015 in Bari, Italy
WS3: ENEON first workshop.
September 21-22, 2015 in
Paris, France
Project time line
WS5: ARMINES/MINES
ParisTech organized a energy
stakeholder workshop. January
27-29, 2016 in Sophia-Antipolis,
France.
WS6: ENEON first workshop.
October10-13, 2016 in
Laxenburg, Austria
WS4: ECSA conference
Session 13 Citizen science
May 19-21, 2016 in Berlin,
Germany
Lessons learned from Connecting GEO: Coordinating an Observation Network of Networks
EnCompassing saTellite and IN-situ to fill the Gaps in European Observations
Summary of Outcomes• METHOD:
• Gaps methodology
• TOOL: • Observation inventory (back into the DAB).
• Socio-Economic and Environmental Information Knowledge Base
• Renewable energy SWE webservice
• ENEON commons
• EO in-situ networks graph
• DATA: • Gap Analysis Table/database
• Vocabulary of EVs
• NETWORK: • ENEON
• OUTREACH: • Product of the year award Thank you!