Copernicus Global Land Service
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1 Copernicus Global Land Service Cryosphere Products Kari Luojus on behalf the consortium Follow us on: Copernicus EU CopernicusEU
2 Copernicus Services Land Marine Atmosphere Emergency Security Climate Change Services monitoring Earth systems Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 2
3 Timeline R&D GMES Initial Operations Copernicus operations Started ~2002 Precursor projects: Product development FP5-Cyclopes FP6-Geoland FP7-Geoland2 Related distribution & capacity building: FP6-VGT4Africa FP7-DevCoCast FP7-AGRICAB , 13 variables Focus on coarse resolution (>=1km) Time series: SPOT/VGT PROBAV: 1998 MetOp-ASCAT: 2007 GEO: 2009 Milestones/challenges: Satellite transitions Copernicus declaration (Apr/14) New distribution portal (Sep/14) Extension to 300m products Two viewing services (Q2/16) Expansion: up to 29 variables Continuity of coarse/medium Towards high resolution (S2) Adding in situ + hot spot Challenges Sentinels (S1-S2-S3) Cloud/on-demand delivery More partners Improve quality Increase usage Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 3
4 Operational Service Context SysMon AdhocMon Conclusions Long term and reliable provision of products and services for downstream applications Delivery of fully validated and quality controlled products and services COPERNICUS: a public good. free and open access (Security restrictions may apply) Support and consolidate to GEO, EU policies at international level & EU commitments under treaties & conventions Wide range of applications: water management, desertification, natural resources management, food security, biodiversity, forestry, agriculture, Land cover& use changes, Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 4
5 Current Portfolio 13 variables VEGETATION Leaf Area Index Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Fraction of vegetation cover (FCOVER) Normalized Difference Vegetation Index (NDVI) Vegetation Condition Index Vegetation Productivity Index Dry Matter Productivity (~ biomass) Burnt Area ENERGY Top-of-Canopy reflectance Surface Albedo Land Surface Temperature WATER Water Bodies Soil Water Index Red = related to ECV Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 5
6 Tentative portfolio 2019: up to 29 variables VEGETATION WATER Leaf Area Index Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Fraction of vegetation cover (FCOVER) Normalized Difference Vegetation Index (NDVI) Vegetation Condition Index Vegetation Productivity Index Dry Matter Productivity (~ biomass) Burnt Area Greenness Evolution Index Phenology metrics Moderate Yearly Land Cover In-situ monitoring Hot-spot monitoring Sentinel-2 application-ready data (preprocessing) Water Bodies Coastal Erosion Lake surface water temperature Lake and river water level Lake surface reflectance Lake turbidity Lake trophic state Lake ice coverage ENERGY CRYOSPHERE Top-of-Canopy reflectance Surface Albedo Land Surface Temperature Radiation Fluxes Evapotranspiration Active Fires Surface soil moisture Soil Water Index Snow extent Snow water equivalent Lake Ice Extent Red = related to ECV Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 6
7 Access & support services Website & mailing Map and Time Series viewing services Product distribution (web & EUMETCast) Tutorials, webinars, software integrations Helpdesk Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 7
8 Information sharing Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 8
9 Example full-resolution map viewer NDVI v2 June 16 LAI v1 Sept 16 Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 9
10 Example time series viewer Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 10
11 Cryosphere products Collaboration between: FMI, SYKE, ENVEO Service for , operations are brought online (legacy from ESA GlobSnow, EC CryoLand/SEN3App) 3 Products (NH & Pan-EU domain) Snow Water Equivalent (SWE) Snow Extent (SE) Lake Ice Extent (LIE) Data production at FMI/NSDC, utilization of Sentinel-3 data Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 11
12 Cryosphere products: Snow Water Equivalent (SWE) 1/2 Northern Hemisphere SWE (Oper. Product) 5km NH EASE-grid / global grid Passive MW radiometer + Synop SD obs. Augmented using optical EO-data Extensive (ESA/EC) development legacy Pan-European SWE Evolution product Goal: 1km spatial resolution PMW + optical data Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 12
13 Cryosphere products: Snow Water Equivalent (SWE) 2/2 Legacy ESA GlobSnow product/service brought under EC Copernicus framework First time reliable long-term record of daily spatial information on SWE: - Snow Water Equivalent (SWE) - Snow Extent and melt (+grain size) - 25 km resolution (EASE-grid) - Time-series for Passive microwave radiometer data combined with ground-based synoptic snow observations - Variational data-assimilation Daily NRT production since 2010 Takala, M., Luojus, K., Pulliainen, J., Derksen, C., Lemmetyinen, J., Kärnä, J.-P, Koskinen, J., Bojkov, B., Estimating northern hemisphere snow water equivalent for climate research through assimilation of spaceborne radiometer data and ground-based measurements, Remote Sensing of Environment, Vol. 115, Issue 12, 15 December 2011, doi: /j.rse Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 13
14 Cryosphere products: Snow Area Extent (SE) Pan-EU Product Specifications: Parameter: Fractional SE in % Domain: 71 N 10 W 35 N 45 E Projection: LatLon/WGS84 Pixel size: 500 m Sensor: MODIS (Backup VIIRS) FSC estimation: accuracy ca. 20% Archive of Daily Snow products since Dec 2000 (re-processed) Algorithm based on ScaMod (Metsämäki et al. 2005, 2012) Latency: < 12 h (using MODIS) Pan-EU service in operation NH 1km service under dev. - Sentinel-3 SLSTR / MODIS Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 14
15 1-10 % % % % % % % % % % Clouds Snow Free Water Permanent Ice Copernicus Training & Info Session, Nov 2016, Helsinki, Finland Polar Night 15
16 Reflectance Ice off date In-situ Snow depth Cryosphere products: Lake Ice Extent (SE) Operational for Baltic Sea area; development on-going for NH Three class classification: 1) Fully snow covered ice 2) Partial snow/white ice cover 3) Open water full snow cover partial snow/ white ice cover Simple reference reflectance algorithm Reference reflectances based on comparing in-situ measurements of snow depth on ice and ice phenology observations Snow detection based on SCAmod FSCalgorithm (Metsämäki et al. 2005, 2012) Currently applies MODIS data - in future Sentinel-3 SLSTR Retrieval hindered by clouds and polar night Cloud screening: SYKE developed SCDA 2.0 algorithm Time clear ice/ columnar ice open water Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 16
17 Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 17
18 Cryosphere products - Summary Snow Extent, Snow Water Equivalent, Lake Ice Extent (by FMI, ENVEO, SYKE) Northern-Hemisphere Snow Extent (SE) Pan-European Snow Extent (SE) Lake Ice Extent (LIE) for Baltic Sea area Northern Hemisphere SWE Pan-European SWE Finnish Meteorological Institute (FMI), ENVEO and Finnish Environment Institute (SYKE) are producing daily near-real time products on snow cover and lake ice for Pan-European domain and Northern Hemisphere. The products have a long-standing legacy from ESA GlobSnow and EC Cryoland projects. The cryosphere products have been developed in close collaboration between FMI, ENVEO and SYKE and will be produced jointly at the FMI production centre. Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 18
19 Product ordering & download Asynchronous ordering: notification when order is ready Subscription to upcoming products Options to customize (spatial window, file format, projection, layer selection) Datapool: automated, direct HTTP access in native format Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 19
20 Usage in Q Online access ~25% actively download majority European gaps in East & North Europe EUMETCast: ~ 600 users, 90% of African (MESA) main potential in Europe Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 20
21 Usage in Q (cont d) Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 21
22 Thanks for your attention! Implementation coordination Institutional Coordination Website: Helpdesk: Consortium: Production of vegetation & energy products led by VITO (Belgium) Consortium: Production of Cryosphere & water products led by CLS (France) Operations partners: Associates: Consortium: Distribution & support led by VITO (Belgium) Consortium: Evaluation & User group led by Spacebel (Belgium) Consortium: Hot-spot mapping led by e-geos SpA (Italy) Consortium: Hot-spot validation led by IGN (France) Copernicus Training & Info Session, Nov 2016, Helsinki, Finland 22
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