Ksat Infrastructure and architecture for Multi-Mission Applications. dr. Kris Nackaerts dr. Martin Krynitz dr. Jan Petter Pedersen

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1 Ksat Infrastructure and architecture for Multi-Mission Applications dr. Kris Nackaerts dr. Martin Krynitz dr. Jan Petter Pedersen Riyadh, 2016

2 Tromsø Capital of space activities in the North

3 Tromsø Capital of space activities in the North +250 Employees ~ 700M NOK / year Center for Remote Sensing Complete Value Chain Education R&D Infrastructure Product and services User management Source = Kartverket

4 KSAT Kongsberg Satellite Services / 4 /

5 What we do We deliver: Global Ground Station Network Services Multi-mission data We monitor: Oil spills Ships Sea ice Land We: +/- 140 employees / 5 / 24-Apr-16

6 KSAT Key figures / 6 / 24-Apr-16

7 KSAT Ground network operations Global station network Launch & Early Orbit Support Payload data reception Ground network operation (TT&C) Foto Nordlys,2013 Hosting, operation and maintenance services / 7 / 24-Apr-16

8 Unbiased, Near Real Time, Multi-Mission services Data delivery for tactical use Operational oilspill monitoring services, since 1998 Information to users in minutes after overpass Maritime situational awareness services Vessel detection, tracking & identification Ice edge detection and monitoring / 8 / 24-Apr-16

9 The challenge

10 We face new challenges World around us is changing rapidly, at ever increasing speed Technology is diversifying fast with increasing fragmentation as a result Identifying and connecting the right «components» is key At the end, our customers want a service or solution / 10 / 24-Apr-16

11 We face new challenges World around us is changing rapidly, every day at higher speed Technology is diversifying fast with increasing fragmentation as a result Identifying and connecting the right «components» is key At the end, our customers want a service or solution / 11 / 24-Apr-16

12 The solution Ksat Infrastructure and architecture for Multi-Mission Applications

13 Solution Infrastructure that provides Actionable Information As a Service Flexible, scalable and distributed processing Support for multi-mission Translate raw data into actionable information Reusable/exchangeable components Act fast All work based on real user requirements, focus on real demonstrations / 13 / 24-Apr-16

14 / 14 / 24-Apr-16

15 / 15 / 24-Apr-16

16 / 16 / 24-Apr-16

17 Example Feature detection Can we detect features in a SAR image? When is a backscatter value significantly different (higher) than it s surroundings? Output is X,Y,Size; no image / 17 / 24-Apr-16

18 Example Feature detection Workflow ~ 9 lines of code Processing distributed Read part of image into memory Calculate regional statistics Define exceptional Apply moving window median filter Select all pixels that have an exceptional value Label every group of connected pixels Extract latitude, longitude coordinates / 18 / 24-Apr-16

19 Example - Timeseries Can we deliver timeseries? Area of interest, start and end date are known Statistics from any image source are needed, eg. NDVI or weather data Output is: Mean Stdev 5, 25, 50, 75, 95% percentile values Min Max / 19 / 24-Apr-16

20 Example - Timeseries Query archive Download compressed file Extract image from file Convert DN to Radiance Convert Radiance to TOA reflectance 28 images Calculate Vegetation indices Extract statistics vor AOI Send timeseries back to end user / 20 / 24-Apr-16

21 Example - Timeseries / 21 / 24-Apr-16

22 Example - Timeseries / 22 / 24-Apr-16

23 Next steps Create specific products Support for more datasources Support for change detection Within a distributed processing environment Both for optical and SAR imagery More user friendly / 23 /

24 Thank you for your attention ksat.no

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