quality, standards and protocols - earth...

Quality, Standards and Protocols

Working towards certified services based on EO and RS

Stefanie Holzwarth, Martin Bachmann, Andreas Müller German Remote Sensing Data Center

Institut für Methodik der Fernerkundung bzw. Deutsches Fernerkundungsdatenzentrum

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GRSG/OGEO workshop 2011, Frascati

Oil and Gas Workshop Summary Report 2010

The demand for integration of EO with numerical met-ocean

models is a growing trend (e.g. ocean current, wave and sea-ice

forecasting) impacting the requirement for EO products to contain

fully documented meta-data information on accuracies

There is a growing need for offshore environmental monitoring

(including gas flares), especially for remote and highly sensitive

areas, but no agreed standards or guidelines exist for how EO

based products and services could be applied

There is a need for a better collaboration between the Oil and Gas

sector and the EO service industry. The collaboration could

facilitate:

The development of standards for EO product specifications and associated

quality certification, making it easier for oil and gas companies to compare

different offerings from the EO service industry


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Processes Products Functionalities

Level 1 Product

Level 0 Product

Raw Data

Level 2 Product

Level 3 Product

Level 4 Product

System Correction

Data Transcription

Atm/Geo Correction

Data Acquisition

Information Extraction

Model

Decision Making

Sensor Operator

PAC

Value Adder

Industry

Regulator

Sensor Calibration Sensor Maintenance


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Content

Existing standards and protocols

Technical aspects of the data itself

Data processing workflows

Achievement of common standards: The six points of

standarisation

Developement of standards for EO products e.g. for the oil and gas

industry

Current application example for mining activities


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EO Standardisation Initiatives

QA4EO initiative as a contribution to Global Earth

Observation System of Systems (GEOSS): “Providing

Harmonised Quality Information in Earth Observation Data

by 2015”

CalVal activities of the Committee on Earth Observation

Satellites (CEOS): ”Ensure that sensor intercalibration is

favoured in a standardised way”

INSPIRE (Infrastructure for Spatial Information in Europe):

Metadata regulation (2008) mainly based on ISO 19155-2

European Facility for Airborne Research (EUFAR): creating

recommendations for standards and best practices within

the airborne research community and quality indices for

hyperspectral imagery


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ISO 191* / TC 211

Standardizing in the field of digital geographic information, including

Data management (e.g. 19115 Metadata)

Data acquisition (e.g. 19130 Sensor and data models for imagery

and gridded data)

Data processing (e.g. 19111 Spatial referencing by coordinates)

Data analysis (e.g. 19110 Feature cataloguing methodology)

Data transfer (e.g. 19128 Web Map service interface)


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EN ISO 9001:2008 Certification

Quality management standards designed to help organizations ensure they

meet the needs of customers and other stakeholders and to assure

consistent service capabilities

Example: OpAiRS - Optical Airborne Remote Sensing and Calibration Facility at DLR


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Six Steps towards Standardisation

1. Identify potential capacity for standardisation

Identification of services and applications suitable for unification - taking existing

standards in consideration

2. Terminology

Speak the same language: Compilation of a common glossary between service

provider and beneficiary

3. Personnel

Define required qualification of the personnel to provide an operational service

4. Technical Systems

Unification of technical systems and corresponding interfaces

5. Best Practices

Formalisation of clear guidelines to carry out different processes and procedures

6. Results

Generation of quality indices to assess products and processes


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Application example for mining activities (1)

Using hyperspectral remote sensing for mining management

information and support to fulfill mining regulations, environmental

protection aspects, areas of politics and possible conflicts of

interests

generation of input data for complex modeling approaches, e.g. for

ground-water (recharge rates, ground-water tables, etc.) or

ecological assessment approaches


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Up to Level 2

ISO certified service OpAiRS, INSPIRE metadata, EUFAR conform quality indicators

Level 3 uncertainties missing

Conceptual model supports „design by constraints‟ quality assessments and quality

indicators from different sources

Application example for mining activities (2)


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Combination of further auxiliary data necessary to meet the accuracy standards?


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Conclusion

Working towards certified services based on EO and RS

Use existing standards for EO data (up to Level 2)

ISO 9001:2008 certified services guarantee consistent products (up

to Level 3)

Define requirements for the input data of the model to achieve

reliable results (Level 4)

Required reliability for the final interpretation

Quality of data (temporal, spatial, radiometric,… accuracy)

Achievement of requirements possible?

Dialogue between data/service provider and industry/policy makers


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Thank you for your attention!


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Level 1 Product

Level 0 Product

Raw Data

Archiving L0

Data QC

Archiving L1

QualityControl L1

Data QC

Data Transcription

System Correction

Laboratory

Calibration

Vicarious

Calibration

Build Metadata

QualityControl L0

Level 2 Product

Level 2a Product

Atmospheric Correction

Parametric Geocoding Attitude Data,

Position Data,

DEM

Radiative Transfer Model,

Meteorologic Data,

DEM

QualityControl L2

Archiving L2

Onboard Calibration

Sources

Data QC

Data QC


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Kunde benötigt Daten mit ausreichender Dokumentation zu

Aufnahmesystem

Datenprozessierung

Datenqualität

Provider sollte nach ISO zertifiziert sein, um einen

gleichbleibenden Service zu garantieren

Daten sollten schon existieren Standards im entsprechenden

Anwendungsfeld entsprechen (z.B. ISO-Norm für

Photogrammetrie), oder an Standards von

nationalen/internationalen Initiativen anlehnen (INSPIRE,

GEOSS,…)

Falls keine Standards für Produkte existieren, müssen technische

Standards/Normen erfüllt werden (ISO TC211)


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Gleichbleibende Rohdaten und vorprozessierte Daten

„unproblematisch“

Modellierung oder Anwendungen benötigen erhöhte Abstimmung

mit dem Kunden

Schnittstellendefinition: Entsprechen die normierten Produkte der

erforderlichen Zuverlässigkeit der Endauswertung?

Welcher Qualität müssen die Inputdaten für ein Modell genügen?

Wie ist der Anspruch der Industrie zu erreichen?


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GEO

GEO web portal supports client access to catalogues, map

services, and data services through standards-based interfaces

Provide a formal listing and description of all the Earth observation

systems, data sets, models and other services and tools that

together constitute the Global Earth Observation System of

Systems (GEOSS).

These various components are being interlinked using standards

and protocols that allow data and information from different sources

to be integrated.

GEOSS will become a system of systems by adopting appropriate

standards for the interfaces through which the various GEOSS

components exchange data and information.

QA4EO Workshop on Providing Harmonised Quality

Information in Earth Observation Data by 2015

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