German EO programme & Copernicus Action plan: The land cover domain

RSPSoc Land Cover Workshop 25 - 26 June 2014 Centre for Landscape and Climate Research, University of Leicester Michael Bock et al. DLR Space Administration

Earth Observation Programme - Objectives 1.

Routine Utilization of space borne Earth observation • in focus areas landcover, natural disasters, meteorology/atmosphere/climate, oceans/coastal waters/ waterbodies • for public authorities, economy and science • to support efficient global management of the environment, ressources, and hazards

2.

Data continuity via long range mission programmes • funding of operational missions through users, mission operators, industry.

3.

Leadership in system- and instrument-manufacturing, ground segment and services • System capacity of German industry, research and science is indispensable for powerful national and European earth observation programmes

The German Earth Observation Programme 1. 2.

Germany largest participant in European EO Programmes EOEP, COPERNICUS and EUMETSAT Programmes Complementary German national EO Programme Missions, Technology, Data Exploitation

Activities in the national Earth Observation Programme Missions • TerraSAR-X, TanDEM-X, RapidEye, EnMAP, METimage, MERLIN, GRACE FO Scientific and technical Mission Preparation • HRWS, Lidar, IR Detectors, TerraSAR-X HD, Tandem-L Mission Support & Development of Applications • Sentinel and EnMAP algorithms, Synergy between national missions + Sentinels Market Development and GMES • Sentinel services, COPERNICUS Pilot programme, Copernicus

National Missions 12

13

14

15

16

17

18

19

20

21

22

23

24

SCIAMACHY

Atmosphere, Meteorology, Climate

MERLIN METimage on MetOp SG TerraSAR-X & TanDEM-X

Land, Hazards

MERLIN nG

HRWS

TS-X HD

RapidEye

RapidEye nG EnMAP-2

EnMAP

Geophysics

GRACE FO

GRACE

12

13

14

15

16

17

18

19

20

21

22

23

24

The German Earth Observation Application programme Focus

Objectives

Adresses

EO-services for public markets Copernicus

• Implementation of EO‐products in routine operations of national authorities • Service definition and contracting by public authorities

Public Institutions (Industrie &  SME)

Innovative Application and service development

• Development of innovative EO applications • Optimisation and automization of methods & products

Industries & SME (Research)

• Promotion of fundamental research, • Development of data processors for ground segments,  • Build‐up of a broad science community

Universities & Research  Instituitions (SME)

Science Algorithms & mission support

The German Earth Observation Application programme 07 08

09

10

11

12

13

14

15

16

17

18

19

20

Copernicus Implementation

EO-services for public markets Copernicus

Innovative Application and service development

Copernicus Pilot

Public Institutions (Industrie &  SME)

X-C Band Synergies Sentinel AO‘s (2011,12,13) Enviland

Industries & SME

TSX / TSX-RE FIS & SAR EDU

Science, Algorithms & mission support

Sentinel AO‘s (2011,12,13) Earth Explorer Project Offices (GOCE, SMOS; Cryosat, SWARM) Envisat Sciamachy Enmap TanDEM-X TSX / TSX-RE

Enmap & Sentinels TanDEM-X Exp. Phase

Universities & Research  Instituitions

The Land Cover domain 7120

3D

Times Series/Phenology Multi-Sensor

Transferability

Spectroscopy Big Data mining

Polarmetry Apps

Cloud Processing

Characteristics, Parameters & Indicators of human and „natural“ habitats & processes Trends

Species

Height

Age Cover Biomass

Management

LAI

Nutrients/Minerals

Distribution Soil erosion Yield

Chlorophyll Moistures

EnMAP data utilisation preparation Core activities covered by EnSAG include: • Data simulation and Toolbox • Algorithm development in the fields of • Geology • Soils • Agriculture • Forests • Natural vegetation / transition areas • Coastal waters • Systematic analysis of scaling, BRDF-effects and synergies with May 25th April 28th Sentinels

June 16th

September 8th

EnMAP PhD Programme 2010-2013 Acronym

Title

Partner

hy‐ARC‐VEG

Hyperspectral method development for ARCtic VEGetation biomes AWI

7/2010 – 6/2013

KelpMAP

Development of an EnMAP‐Routine to Map and Monitor  Submersed Marine Macrophytes ‐ KelpMAP

10/2010 – 6/2013

BMP

Developing remote sensing methods to retrieve the  biomethanepotential of agricultural areas with special focus of the Uni Trier, Uni Bonn upcoming EnMAP mission

Hyland

Use of Hyperspectral Remote Sensing for the Retrieval of  Uni Osnabrück, TU München,  Agricultural Soil and Crop Parameters for Precision Agriculture and  11/2010 – 10/2013 JKI Yield Estimation (HyLand)

Futterwert

Assessment of grassland forage quality using hyperspectral  remote sensing

ForestHype

ForestHype – “Biodiversity”, "Forest structure", "Forest damage  assessment" 

TU Berlin, Uni Göttingen, Uni  7/2010 – 6/2013 Freiburg

Oekosystem

Methods for deriving functional relationships of ecosystem  processes based on hyperspectral data of different spatial  resolutions

UFZ

7/2010 – 6/2013

KlimaErosion

Nonlinear Analysis of hyperspectral remote sensing data to  quantify climate driven erosion processes

Uni Potsdam

1/2010 – 10/2013

Uni Kiel

Duration

7/2010 ‐ 6/2013

7/2010 – 6/2013

www.DLR.de • Chart 10

EnMAP Box and test data

www.DLR.de • Chart 11 > ESA bilateral > G. Roßner • German EO data utilisation programme > 5th July 2013

SENSAT Preparation of scientific and commercial utilization of Sentinel and national missions”

© ESA

© ESA

© ESA

© ESA

© ESA

• Objectives: scientific and commercial exploitation of the potential of new instruments and data, diversifying the application spectrum • 2 foci: A: Methods and application development wrt development and optimization of innovative services B: innovative application oriented research focussing on image and signal processing • Adressing: universities, research/scientific institutions, companies • Grants: 200-350 T€ / max. 3 years duration, submissions on yearly basis at due dates possible

www.DLR.de • Chart 12 > ESA bilateral > G. Roßner • German EO data utilisation programme > 5th July 2013

SENSAT Preparation of scientific and commercial utilization of Sentinel and national missions”

© ESA

© ESA

© ESA

© ESA

© ESA

• Three Calls April 2011,2012,2013 with 135 Proposals submitted • 21 proposals selected for funding, partly in joint project, mostly started • ca. 70% from universities, research institutes; ca. 30% from industry, mostly SME • Thematic foci: ca. 24 % forest ca. 10 % agriculture ca. 38 % vegetation, land applications ca. 15 % ocean, inland water, glacier, ice ca. 10 % atmosphere ca. 5 % general methods

Sensat Land: Algorithm development (selected) Title /Objectives

Data

Partner

MSAVE: Development of new multis‐sensor methods for monitoring of  vegetation on habitat scale, considering the spatial and phenological dependence of vegetation reflectance

S1, TSX S2, RE

Uni Würzburg Uni Bonn Uni Osnabrück

PHENOS: Operational detection of optimized acquisition dates for optical  S2, RE  sensors (S2, RE) for crop and grassland classification.  Web‐based PhenoS system for phenological modelling.

Uni Würzburg Uni Halle UFZ Leipzig

Dyna C: Temporal and spatial dynamic characterisation of the C‐Factor to  S2 /RE localize soil erosion risk areas Forest parameters and management S2 Multisensor crop classification with Optical and SAR time series Using Conditional Random fields and Markow chains

Uni Halle

EOLDAS: Application and Validation of the Earth Observation Land Data  Assimilation  System to derive Status‐variables for crops (LAI, height,  Leafchlorophyllcontent)

S2, RE

FSU Jena

Tech4Times: Development of a software library for the generation of  consistent time series from HR optical satellite (Sentinel‐2)  Derivation of biophysical parameters at the field scale (yield modelling)

S2

Uni Würzburg, Green SPIN

Uni Hannover

Sensat Forest: Algorithm & Application development Title /Objectives

Data

Partner

Extraction & Classification of Forest parameters for inventary of regional  important tree species and smal area estimtation of wood yields

S2, RE 

Uni Trier

Forest Biomass: Methods  for derivation of vegetation height, density  and tree soecies for modelling of biomass

S1,S2, Alos,  Uni Freiburg WV2, TSX,  FSU Jena TDX

SenFor:Potenzials of the S2 mission for for the extraction of biophysical parameters by raditative transfer modells in forests Forest parameters and management Integration of RS Data and Forest Growth Modelling as Cost Effective  Option for Interim Forest Inventories 

S2, Hyspex

SenseCarbon: Sentinels supporting carbon estimates and REDD+, ‐Advanced image compositing for large‐area monitoring ‐ Integration of optical and SAR data ‐ Time‐series methods to derive trend and event products

TU Berlin

S1, S2, TDX,  TUM, DLR RE  S2, S3, TSX,  Uni Bonn Landsat,  HU Berlin Modis

www.DLR.de • Chart 15 > ESA bilateral > G. Roßner • German EO data utilisation programme > 5th July 2013

Sensat Land: Application development - Enterprises Title /Objectives

Data

Partner

M4Land: Model‐based ,Multi‐temporal  Multi‐scale und Multi‐sensor  Extraction of continous landmanagement information

S1, S2

LMU München VISTA

BiomassMon: Evaluation of remote sensing for assessment of Biomass potenzial (Quality and Quantitiy) from Landscape maintenance Landwirtschaft, Vegetation, Boden Calvalus‐NG : Development of a fast system for „full‐mission“  Datensets in short time through massiv‐parallel, data‐localized Processing in a distributed filesystem.

S1, S2, RE,  TSX, TDX

EFTAS,  IPI Hannover Umsicht

All missions

Brockmann  Consult

Pheno – A joint research project to improve land cover  classification using SENTINEL‐2 satellite data Detection of phenological  phases with lowest spectral  similarity

• •

EARSeL SIG Land Use/Land  Cover Workshop Sentinel‐2 for Science  Workshop

1

Rapeseed: Flowering Wheat: First nodes

Rapeseed:  First nodes Wheat: dormant

Presented on:

0,8

2 optimal time frames for  classification of rapeseed,  cereals and maize

0,6

•

0,4

Detection of optimal  acquisition dates for the  distinction of maize,  rapeseed and spectrally  highly similar wheat / rye /  barley and potatoes / beet

0,2

•

[Index]Rapeseed ‐ [Index]Winter Wheat

0

Different vegetation indices

Difference

•

Spectral distances derived out of 6 vegetation  indices and corresponding phenological phases

40 NDVI

70 Maccioni

Martin Luther University Halle-Wittenberg Institute of Geosciences and Geography Department of Remote Sensing and Cartography

Day of Year 100 GNDVI

WDRVI

130 EVI

SRR

PhenoS is funded by the German Ministry of  Economics and Technology and managed by the  German Aerospace Center (FKZ 50EE1262).  (http://paradigmaps.geo.uni‐halle.de/phenos)

Classification of Natura 2000 habitat types by RE times series One‐Class Classifiers (Maxent Rapid Eye, 5 scences 2011

Method Classification

Stenzel et al. 2014 (in press)

Results Classification

Method Variability

Results Variability

Modelling local variability of habitat types

Feilhauer et al. 2014 (University Erlangen)

Classification of Natura 2000 habitat types by TSX times series Annekatrin Metz (DLR) Mattia Marconcini (DLR)

Acquistions Bayern • 2011 - 13 • 2012 - 11

Mecklenburg • 2011 - 10 • 2012 - 7

DynaC – Dynamic calculation of the USLE C‐factor using high‐ temporal multi‐spectral satellite imagery

Markus Möller Henning Gerstmann Cornelia Gläßer

Segmentation‐based scale‐specific fractional vegetation coverage (FVC) and C factor calculation

FVC ~ NDVI

Martin Luther University Halle-Wittenberg Institute of Geosciences and Geography Department of Remote Sensing and Cartography

DynaC is funded by the German Ministry of  Economic Affairs and Energy. It is managed by  the German Aerospace Center (FKZ 50EE1230).  (http://paradigmaps.geo.uni‐halle.de/dynac)

www.DLR.de • Chart 21 > ESA bilateral > G. Roßner • German EO data utilisation programme > 5th July 2013

Outline

Final Results

Future Visions

Final results Project overview: o Duration: 2011 – 2014 o Project mangement: University of Jena o 8 Subcontractors

Outcomes: o Teaching Material: ~ 2000 PPT-Slides o Interactive content: > 10 Tutorials o SAR-EDU web portal: Release: 4Q 2014 o SAR-EDU summer schools: Two events in Jena, 2013 & 2014

www.DLR.de • Folie 23

> COPACI - Big Data WS > J. Hoffmann > March 13, 2014

Unlocking Copernicus for users in Germany

• Inform • Coordinate and engage • Enable and support • Access National GMES Action Plan (2011)

Coordinate & engage: Specfic subject coordinators Emergency & crisis management Land

Land Environment

Atmosphere & climate change

Marine Environment

‐ Support services and advice to the Federal Government ‐ Inform user and coordinate requirements ‐ Represent Germany in the user forum

Security

Enable and support

Innovative solutions, Pilot‐applications, integration in user workflows  EU Horizon 2020  Ressort‐Research  BMBF‐Research Programme  EO Application programm (BMWi)  Copernicus Action Plan  (BMVI)

Copernicus Services  For public demand

www.DLR.de • Chart 26 > ESA bilateral > G. Roßner • German EO data utilisation programme > 5th July 2013

Copernicus implementation in Germany: “ Precursor GMES Interface projects”

3 Copernicus interface projects: Address user requirements, conduct feasability tests Focus on supporting development of operational services Stimulate discussion amongst users First successes: uptake of EO products/services by national authorities

DLR.de • Chart 27

> Lecture > Author • Document > Date

Copernicus Services  For public demand

Call May 2012 „GMES‐Services  for the public demand in  Germany“ 8 Proposals selected

31 Proposal submitted

Thematic destribution of the  selected proposals (Call 2012) 1

Call October 2013 „Developement and implementation of Copernicus  Services for the public demand in Germany“ 32 Proposal submitted

Thematic destribution of the selected proposals (Call 2013)

Forest 1

1

3 1

1

Geology

1

Climat Environment

6 Proposals selected

Forest

1

Geology

1

1 1

1

Climat Environment

Agriculture

Waterbodies

Landcover

Landcover

DLR.de • Chart 28

> Lecture > Author • Document > Date

Copernicus Pilots and Implementation projects Call 2012: • Fast‐Response‐Systems: to handle windbreak  calamity (Bavarian State Institute for Forestry)  • GMES‐Service Rhein‐Mosel: to support hazard  analysis (Federal Institute for Geosciences and  Natural Resources) • RiflE: Acquisition of agricultural, potential yield  (Julius Kühn‐Institut) • Use of Copernicus data to identify ecological and  economical appropriate areas in the context of risk  management for the use of pesticides. (Julius Kühn‐ Institut) • Estimate meadow and pasture crop by using  remote sensing data (Bavarian State Research  Center for Agriculture) • Natura 2000‐Monitoring Service (North Rhine‐ Westphalia State Office for nature environment and  consumer protection) • Updating the  „ATKIS Basis‐DLM“ (Digital Landscape  Model) (The Schleswig Holstein State office for  Surveying and Geoinformation)

Call 2013: • Acquisition of water parameters and monitoring turbidity of waterways (Federal  Institute for Hydrology) • Developing a ground motion monitoring system (Regional Government Cologne) • „COP4STAT_2015plus“ The use of Copernicus data for area statistics (Federal  Statistical Office) • Use of the GMES Urban Atlas for urban  climate modelling (Germany's National  Meteorological Service) • SenThIS: Sentinels for a Thuringian informationsystem (Thuringian Regional  Office for the Environment and Geology) 

DLR.de • Chart 29

> Lecture > Author • Document > Date

Developement of an Copernicus Service to support hazard analysis Implementation of air borne and space borne image data into existing and new workflows of geoscience autorities. • The concept will be realised together with the State office of Geology and Mining Rheinland-Pfalz

visible depression SPOT Satellite [Kühn, Hörig & Budziak, 2009] [F. Kühn, BGR]

Time series of Radar  data [Adam et al., 2011]

Vegetation anomaly (Infrared‐aerial photo) [Kühn, Hörig & Budziak, 2009]

sinkholes in the landscape [Kühn, Hörig & Budziak,  2009]

DLR.de • Chart 30

> Lecture > Author • Document > Date

NATURA 2000 Monitoring Service

Developement of a Copernicus Pilot service to optimise the existing workflow of the Natura 2000-Monitoring within the LANUV (North Rhine-Westphalia State Office for nature environment and consumer protection) •

Main Aim: • Reduce the effort of the site inspection by using remote sensing data • The Natura 2000 Monitoring should be reproducible and cost saving • Adaption of the developements of parent projects (DeCover, MS.MONINA) on the Sentinel satellites

Collaborative Copernicus data access and exploitation infrastructure in Germany Enable

Policy

Public institutions



government agencies,



companies, and



research institutions

Research

in Germany to benefit optimally from Copernicus through 1. Access to Copernicus data and information productsaccording to needs identified in Germany 2. Provision of tools – computing resources and software – to enable operational exploitation of large data volumes from a variety of sources

Commercial sector

General Public

DLR.de • Chart 32

> COPACI - Big Data WS > J. Hoffmann > March 13, 2014

Elements of a COPernicus Data Access and Exploitation Collaborative Infrastructure (COPACI) Access Hosted Extended processing Portfolio Search / View / Download of…  all Sentinel data  CCM data licensed for use  Services products Use of additional receiving stations as required

 Efficient access to data resources  Integrate cloud capacities  Upload own „apps“  Use third-party apps  Buy additional resources

 „convenience products“, dependend on demand  Offered by thirdparties on platform

www.DLR.de • Folie 33

> COPACI - Big Data WS > J. Hoffmann > March 13, 2014

Scenario „land applications“

• Regional data sets (~10 TB).

reference data

data input other mission or in‐situ data

reference data selection and correlation

physical sensor model improvements

• Requires external data sets • Planned, often data-driven

atmospheric correction

ortho-correction and geocoding

application specific classification/processing

Format conversion

• Pre-processing common (geocoding, atmospheric correction, cloud mask)

digital elevation model

• Processing local or remote delivery

• Mass production needs to be automated and cost efficient

www.DLR.de • Folie 34

> COPACI - Big Data WS > J. Hoffmann > March 13, 2014

COPACI - Systemkonzept Search & Portrayal

Applications & Projects

Portal Website

Archive

National Archive

Catalogue Service

Bulk Data Access

Local Storage

LTA

National Mirror

Copernicus Space Component – Data Access Core PDGS

Data Hub

Service Provisioning

Governance Concept

Access

Processing

User Management

Download Service

Applications

Service Marketplace

Subsetting & Distribution Service

Services Hosting

Reporting

Hosted Processing

Network

Subscription Service Ingestion Service

External Entities

Catalogues

Monitoring

Third-Party Data

Collaborative Acquisition Station NRT Data Provisioning

www.DLR.de • Folie 35

> COPACI - Big Data WS > J. Hoffmann > March 13, 2014

COPACI timeline

2015

2014 1

2

3

4

5

6

7

8

9

10

11

12

1

2

3

4

5

6

7

2016 8

9

10

11

12

1

2

3

4

5

6

7

8

9

10

www.DLR.de • Chart 36 > ESA bilateral > G. Roßner • German EO data utilisation programme > 5th July 2013

What‘s coming up? National Copernicus implementation (Funding by BMVI) • New call for public authorities in preparation to be announced Q4 2014 • Tender for COPACI in preparation to be announced Q4 2014 • Support of Copernicus Coordinators starting in Q1 2015

Application and service development • Tender with CSA in preparation on C-/X-Band synergies targeting SME • Other AO‘s in preparations (e.g. Energy)

Algorithm development / Mission support • AO‘s planning (e.g. Demonstration of future products with Germany wide Cover (e.g. Tree Species, Grassland intensity)

International Contributions • TerraSAR-X / TanDEM-X aContributions for GEO Supersites in Negotitation

TDM Science Phase: Proposed Line forJune 2014 / 2015 Tandem X Scientic data AO isTime open till End of 2014 Mode

Appli.

XTI Pol‐InSAR DRA B

1 oc

2 no

100‐300  Bistatic

3 de

4 ja

5 fe

Drifting PM

6 ma

7 ap

8 my

9 ju

10 jl

11 au

3‐4 km  Bistatic

Agriculture Forest Cryo

Spot

Urban Vulcanos

Strip 

DEM Geology Permafrost

DRA‐Bist.

MTI Land/ Ocean

ATI Alt. B

Ocean currents

ATI ScanSAR

Ocean currents

HRWS‐DRA

Enhance image rec.

I. Hajnsek / TDM Science Meeting 2013

DRA

Pursuit Mono- Very Long Baseline ~ 2000 m static Drift (+Phase of Libration) Slide 37 days 104 12-Jun-2013 - OP

12 se Drif ting

13 oc

14 no 100‐300  Bistatic

15 de

Page 38

Questions ?

Further Infos: www.de-copernicus.de www.enmap.org www.dlr.de [email protected]