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1 CASI ASTRO 2018, May 16th, Québec, Canada
Development of a Canadian Wildland Fire Monitoring Sensor (CWFMS)
Helena (Marleen) van Mierlo1
Linh Ngo Phong1
Steeve Montminy1
Joshua M. Johnston2
Denis Dufour3
(1) Canadian Space Agency
(2) Canadian Forest Service
(3) Institut national d’optique
CASI ASTRO 2018, May 16th, Québec, Canada
Unclassified
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Problems Caused by Wildfire
� More than 1 billion $ yearly cost to manage;
� Significant health and safety hazards to Canadians;
� Smoke generation, degraded air quality;
� Carbon release into the atmosphere;
� Tens of billions of $ of damage and indirect cost:
� Destruction of communities, industrial sites, national and provincial parks;
� Evacuations and health costs;
� Loss or revenues:
� Timber, Energy, Farming, Tourism.
� The amount of wildfire is growing on a yearly basis.
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Area Affected by Smoke from Fort McMurray
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Carbon Emissions from Wildfire
Canadian Direct Carbon Emissions
0
20
40
60
80
100
120
140
160
1958
1960
1962
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
Year
Meg
ato
nn
es C
arb
on
Fire
Fossil Fuel
Sources:
Fossil fuels: www.nrcan.gc.ca/es/ceo/update.htm
Fire: Amiro, B.D. et al. 2001. Can. J. For. Res. 31: 512-525
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Facts about wildland fires in Canada
Average # of forest fires per year: 8,300
Total area burned annually:2.3 million hectares
3% of the fires account for97% of total area burned
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Limited Fire Management Resources
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Fire Characterization Data
� Hotspot Locations
� Fire Radiative Power (FRP)
� Rate of Spread (ROS)
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Measurements Needed by the Users
• Fire characterization data:
� Every 2 – 3 hours;
� Of every point in Canada;
� For fires as small as 15 m by 15 m;
� Available within 30 min. after data acquisition.
Only possible from space
With a constellation of satellites
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Hotspot Data Currently AvailableFrom Satellite Remote Sensing
MODIS VIIRS AVHRR
Sentinel GOES
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Limitationsof Available Satellite Infrared Data
� Saturation issues;
� Insufficient temporal or spatial resolution;
� Data latency;
� Time of measurement in the day;
� Coverage of Canadian forests.
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Technology Needed
� Current systems rely on cooled Infra-red detectors:
� High sensitivity
→ Overkill for fire monitoring
� High accommodation needs (mass, volume and power)
→ Not suitable for constellations
� Canadian microbolometertechnology
� Low-resource (uncooled) infrared detector
� Sensitivity that is ‘good-enough’ for fire application
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CSA Investment History
1. The New InfraRed Sensor Technology (NIRST) was demonstrated with partial results on the NASA
Aquarius mission on-board the Argentine SAC-D spacecraft from 2011-2015.
2. CWFMS – Canadian Wildland Fire Monitoring System
1995 Start of Canada investing in the development of microbolometertechnology for thermal imaging
2007 Start of CSA investing in the development of microbolometertechnology for the fire application.
2011 Technology demonstration of early design in space1
• Was designed for Long-Wave InfraRed (LWIR) so exhibited less adequate performance at Mid-Wave InfraRed (MWIR);
• Without in-flight calibration capability
2016 Completion of feasibility study (CWFMS2) of a Canadianmicrosatellite with the latest microbolometer technology
• Optimum designs for Long-Wave and Mid-Wave InfraRed (LWIR/MWIR) measurements
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CWFMSThree-Step Implementation Approach
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CWFMSThree-Step Implementation Approach
Scheduled for summer 2019
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CWFMSThree-Step Implementation Approach
Scheduled for summer 2019
Different options under consideration
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CWFMSThree-Step Implementation Approach
9 sat constellation can provide scan of whole of Canada every 2-3 hours (commercial service?)
Scheduled for summer 2019
Different options under consideration
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STEP 2: Demonstration in Space
- Options Considered -
Microsat
1 2 3
Canadian Single Proto-Operational Microsatellite
Mission
Canadian Tech Demo Nanosatellite Mission
Hosting Canadian instrument (micro-
bolometer package) on Belgian Satellite
Payload onlyNanosat
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Conclusion
� There is a need for frequent fire monitoring data;
� A low-cost satellite system solution exists, based on microbolometer technology:
� Sensitivity ‘good-enough’ for this application;
� Combining relatively high spatial/temporal resolution.
� An airborne campaign is in preparation for summer 2019;
� Discussions are on-going with Belgium/ESA for a space demonstration opportunity.
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Organizations involved to date
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Contact Information
• For more information, please contact:
Helena (Marleen) van Mierlo
Canadian Space Agency (CSA)
Tel : (450) 926-7754 / [email protected]
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Back-up Slides
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Relevant Wavelengthsmeasured in the infrared and visible spectrum
Spectral Band (μm) Purpose
Visible – Near Infrared
(VNIR)
0.5-0.6
0.6-0.7
0.8-0.9
• Cloud mapping
• Burned area mapping
Short-Wave Infrared
(SWIR)1.6-1.7 • To improve burned area mapping
Mid-Wave Infrared
(MWIR)3.5-4.2
• High Temperature Event (HTE) detection
• Fire Radiative Power (FRP) measurement
Long-Wave Infrared
(LWIR)10.4-12.3
• Surface temperature characterization
• False detection (sun-glint) identification
• Cloud rejection
• Bi-spectral methods for sub-pixel fire
characterization
To obtain
ENERGY
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Current State of the Art
� Payload with 3 MWIR + 3 LWIR cameras will provide daily global map;
� Each camera’s detector is a linear array of 1017x3 pixels;
Spectral band
(μm)Purpose
GSD
(m)Sensitivity
Dynamic
Range
MWIR 3.5-4.2For High Temperature Event (HTE) Detection and Fire
Radiative Power (FRP) measurement
400
NETD < 0.3 K
@ 400 K300 - 610 K
NETD < 0.7 K
@ 300 K300 - 440 KLWIR 10.4-12.3
Surface temperature characterization, false detection
(sun-glint) identification, cloud rejection and bi-
spectral methods for sub-pixel fire characterization.
Payload Accommodation Needs
Mass (kg) 41
Volume (mm3) 200 x 536 x 534
Orbit Average Power (W) 16
Peak Power (W) 75