Canadian Hyperspectral Imaging Program

1. Canadian Hyperspectral Imaging Program 

3. Overview of Canadian Capabilities in Hyperspectral Remote Sensing: Program Objectives To develop advanced hyperspectral technologies as partner in foreign missions To satisfy Canadian needs for high quality hyperspectral data products, and to provide better access to data for Canadian users To provide advanced hyperspectral information products for: exploration geology and prospecting management of mine wastes assessment of environmental stress in ecosystems and coastal zones monitoring of water resources and aquaculture management of forests and agriculture

4. Canadian Investment in Hyperspectral activities

5. Canadian Expert Support Laboratory (CESL) Medium Resolution Imaging Spectrograph (MERIS) MERIS is a 15 band imager (designed as a visible imaging spectrometer) primarily for ocean/water monitoring ? 300 m footprint) and 3 day revisit cycle Simulate and evaluate MERIS data in diverse Canadian landscape and seasons Develop and test product generation algorithms for MERIS Evaluate benefits of information products and initiate a science framework for Canada

6. Overview of Canadian Capabilities in Hyperspectral Remote Sensing Hyperspectral Mission: Canada Space Agency (CSA) and Canada Centre for Remote Sensing (CCRS) are providing a coordinated approach to facilitate access to hyperspectral missions and related opportunities Current activities : Prepare options for Canadian participation in a hyperspectral mission Data and instrument simulation to ensure that mission meets Canadian users needs and to influence payload design Demonstration of applications to ensure that Canadian users can take full advantage of the data when a satellite is operational

7. Hyperspectral Imager Technology Assessment: Objectives  Examine Canadian participation in all aspects of satellite based program and provide critical assessment of: Technical constraints Schedule Budget Leading to: detailed design and fabrication user application studies and user development

8. Hyperspectral SensorFunctional Block Diagram Foreoptics and Calibration Subsystems shown in Orange Detectors and signal conditioning in Blue Data Handling Electronics in Yellow Data Formatter in Green Spectrometer and instrument control computer in white.Foreoptics and Calibration Subsystems shown in Orange Detectors and signal conditioning in Blue Data Handling Electronics in Yellow Data Formatter in Green Spectrometer and instrument control computer in white.

9.  Hyperspectral Imager Technology Assessment:  ForeOptics and Calibration- Examined a series of compact telescopes; Evaluated signal level requirements for on-board and on-ground calibration systems Detectors and Buffering- Identified candidate detectors VNIR and SWIR data rate constraints and data reformatting requyirements Interfaces- Identified instrument data bus structures Quality Assurance- Guidelines provided for Space Qualified programForeOptics and Calibration- Examined a series of compact telescopes; Evaluated signal level requirements for on-board and on-ground calibration systems Detectors and Buffering- Identified candidate detectors VNIR and SWIR data rate constraints and data reformatting requyirements Interfaces- Identified instrument data bus structures Quality Assurance- Guidelines provided for Space Qualified program

10. Hyperspectral Imager Technology Assessment  Modelling- examined the needs for overall system modelling Lossless Compression- Summary of lossless compression algorithms and space qualified Lossless compression chips Applications- Provided a status summary of algorithms and the applicability of candidate sensors characteristics to each appplication Software Tools- Recommendations re development of COTS or customized S/W tools to satisfy Canadian needs.Modelling- examined the needs for overall system modelling Lossless Compression- Summary of lossless compression algorithms and space qualified Lossless compression chips Applications- Provided a status summary of algorithms and the applicability of candidate sensors characteristics to each appplication Software Tools- Recommendations re development of COTS or customized S/W tools to satisfy Canadian needs.

11. Goals 1. Hyperspectral Data Cube management 2. Spectral interpretation (match to known or identify unknown) 3. Combining spectral-spatial algorithms 4. Visualization tools 5. Browse, archive, retrieval and dissemination Some Developers (algorithms, proprietary and COTS tools) - Canada Centre for Remote Sensing (CCRS) – Imaging Spectrometer Data Analysis System (ISDAS) - Canadian Space Agency (CSA) - MacDonald Dettwiler and Associates (MDA) - Borstad - Itres - Universities Software Tools for Hyperspectral Imagers

12. Hyperspectral Imager Technology Assessment 

13. #1 Optical Technology Advancement Demonstrate fabrication capabilities for a three-mirror anastigmatic (TMA) fore-optics and on-board calibration subsystem optical elements Build and test breadboard optical components Perform fabrication and materials trade-offs Advance TMA and calibration-subsystem optical designs, considering e.g. stray light, scatter, opto - mechanical methods

14. #2 System Studies for a Hyperspectral Imager: Establish system-level and instrument-level requirements, based on applications needs Develop system modeling tools, including applications algorithms, lumped-parameter models (LPMs) and data-flow models (DFMs) Perform systems analysis using LPMs and DFMs Models and analyses to include Cal/Val requirements and functional performance Application algorithms should be well benchmarked including ground truth to distinguish instrument error from algorithm error

15. #3 Predictors for Lossless Compression of Hyperspectral Data: Investigate and Select optimum predictor for a satellite HSI program, considering performance and ease of hardware implementation Assess predictor’s performance, using Hyperspectral datasets from a variety of available scenes and sensors Examine benefits of on-board calibration to compression Consolidate buffering and compression electronics design; identify critical components and implementation issues

16. ESA Explorer Core MissionLand Surface Processes and Interaction Mission Designed to meet research goals Relies on intensive study of particular sites Examines BRDF algorithms and Remote Sensing Science

17. Partnerships Ongoing discussions with: Australia - Australian Resource Information and Environmental Satellite (ARIES) European options European Space Agency (ESA) Earth Explorer Land Surface Processes and Interaction Mission (Core Mission) SIMSA 'Spectral Imaging Mission for Science, and Application' (German Initiative) Smart Spectral - Dornier Satellitensysteme (DSS) led commercial mission

18. Australian Resource Information and Environmental Satellite (ARIES) Goal: to develop and operate a commercially sustainable resource information satellite using the latest hyperspectral sensing technology Outcome of 20 years of collaborative R&D between Australia’s leading research agency Commonwealth Scientific and Industrial Research Organization (CSIRO) and the mining industry ARIES-1 Project Office created in October 1995 ARIES-1 feasibility study completed in March 1997 ARIES-1 launch in 2002 with operation starting in 2003 Australian consortium: CSIRO, Australian Centre for Remote Sensing (ACRES) , Auspace Limited Other partners: International groups of mining and exploration companies Australian and European Geological Surveys consortia UK Natural Environment Research Council Canada Centre for Remote Sensing (with the participation of CSA)

19. Australian Resource Information and Environmental Satellite (ARIES) Satellite: Australian design and weight less than 500 kg Polar, sun synchronous 500 km above the Earth's surface Design life: 5 years Sensor: 32 contiguous bands in the VNIR (400 to 1100 nm) 32 contiguous bands in the SWIR (2000 to 2500 nm) Optional coverage of 1000 to 2000 nm range with emphasis on atmospheric correction and calibration Spatial resolution: Spectrometer - 30 meters at nadir Panchromatic - 10 meters at nadir Ground swath: 15 km at nadir Off-track pointing: to 30 degrees off vertical Revisit time: 7 days at 30 degrees look angle

20. Status of ARIES ARIES Phase A and pre-Phase B completed by current partners Australian Tax Office ruling critical to ARIES funding Phase B set started June 1999 Preliminary discussions between Canada and ARIES started in March and December 1997 The first ARIES Data Analysis and Simulation Workshop was held in Sydney on 8 and 9 April, 1997 Major joint workshop held in June 1998 Work package alternatives discussed Data rights discussed Meetings with ARIES held 1999 - 2001

21. ARIES Consortium Currently there are three partners: Auspace Limited (a wholly owned subsidiary of Matra - Marconi Space - UK) CSIRO (Division of Exploration and Mining ) ACRES ARIES Operating Company Finances operations through data sales Investors TBD Space Segment Prime Applications Prime Ground Segment Prime Owns Satellite and Data Contracts with AUSPACE, CSIRO and ACRES for satellite development and operation