Integrating geography and statistics, but what about earth observation? 8 0 0 y 2 2 3 0 9 x 6 3 9 1 9 n 1 8 3 7 3 9 7 2 2 4 8 8 7 8 4 7 5 Ola Nordbeck Senior Advisor Ola.nordbeck@spacecentre.no
Bridging communities heterogeneity Statistical Community Spatial Community NSS Socio-Economic Datasets Core Statistical Tax Census, Demographics, Agriculture, Building, Labour Force, etc. Income and Business Tax Foundation Spatial Data Frameworks Fundamental Elements Data layers: Admin. & statistical boundaries Addressing, Place Names Health Medicare, Pharmaceuticals, Workforce Social Welfare Unemployment, Disability, Family Support Immigration Land Valuation and Use SSF bridge Transport, Water Land and Property Elevation and Depth Imagery Others Positioning Source: UN-GGIM, 2015
Spatial community internal differences National Mapping Authorities Earth Observation (EO) community Method: Method: Probability mapping Data: Definite mapping Data: i. Moderate volumes ii. Object-based iii. Resolution: Geographical iv. Diverse specifications and quality v. Discontinuous /borders included vi. Variable usage rights / licensing vii. Updating: Periodic/Continuous (low frequency) i. ii. iii. iv. Considerable volumes Image-based Resolution: Geographical, Spectral and Temporal Consistent specification and quality v. Seamless/borderless vi. Uniform usage rights / licensing vii. Updating: Continuous (high frequency)
Collaboration is crucial High quality reference consistent with the national reference is important in order to: Source: Univeristy of Oslo, 2016 Source: A. Arozarena/V. Pircher, 2016 - Make satellite analyse-ready - Digital Elevation Model for orthorectification of satellite imagery - Make derived products from satellite possible to: - match to national and - to integrate into national users workflows - Establish common maintenance systems to ensure consistent and updated
Collaboration is possible QGIS, 2016 Collaboration is on-going technically Rapid development of software and formats adapted to handle big satellite Better understanding of mutual needs for collaboration Earth Observation can be an asset in the workflow of Mapping Agencies Reference consistent with national is important for the user uptake
Example of collaboration in between communities as of today: Emergencies Event Satellite-based emergency mapping Making use of: - Satellite - Map - Tabular Source: Copernicus Recovery activities Source: REACH Initiative Early assessment Humanitarian Cluster activities 22/11/2016 6
EO supporting the digitalisation of public sector in Norway Mapping is going real-time following same development as Meteorological and Marine Services The modernisation and digitalisation of public sector is on-going Norwegian Space Centre promotes integration of satellite in existing national management systems Some public authorities have the skills to carry out this work themselves others need assistance -> opening up for public - private partnership Examples: 1. National Mapping and Cadastre Authorities (NMCA) 2. National Road Authorities (NRA) 22/11/2016 7
Complement definite mapping with change detection Conventional workflow of construction mapping Here based on Norwegian Planning and Building Act Continuous update Planned work Administrativ e procedure Database entry of primary Updated geospatial Periodic update Aerial or satellite imagery Verification of primary 22/11/2016 8
Change detection to support administrative proceedings Continuous update Planned work Frequent satellite imagery Monitoring support: Start date for building works Finalisation date For buildings not outlined Remove outdated buildings Deformation (InSAR) Database entry of primary Administrative procedure Updated geospatial Change detection Aerial or VHR satellite imagery Verification of primary Periodic update 22/11/2016 9
Interferometric synthetic aperture radar (InSAR) Landslide monitoring Norwegian national centre for InSAR Copyright: Norut / PPO.labs / NGU 22/11/2016
Subsidence around Oslo Central Station Copyright: Norut / PPO.labs / NGU 22/11/2016
From commercial satellite to free and open imagery Radarsat-2, 95 scenes, 7 years Oslo, Sentinel-1, 25 scenes, 15 months Copyright: Norut / PPO.labs / NGU
Change detection to identify changes to existing geospatial Continuous update Planned work Database entry of primary Administrative procedure Frequent satellite imagery Change detection Verification of exiting primary Aerial or VHR satellite imagery Updated geospatial Verification of primary Periodic update 22/11/2016 13
Road management based on change detection Problem: 1. Water on road 2. Reduced line of site along road % Sentinel-2 B3 Grønt bånd 20 18 16 14 12 10 8 6 4 2 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Reason: 1. Storm drain clogged 2. Overgrowing 2016 2017 2018 Uke Pixel x,y Storm drain Road surface Road/vegetation Vegetation Continuous monitoring of pixels covering: 1. Registered storm drain 2. 5 m around registered road buffer
Satellite imagery important for monitoring the Sustainable Development Goals Jenny Jordahl
Merci! Satellitt.no Sentinel-1, Austfonna, Svalbard 22/11/2016 16