Using VIIRS Direct Readout Capabilities for the Improvement of … · 2014-09-15 · Juan M....
Transcript of Using VIIRS Direct Readout Capabilities for the Improvement of … · 2014-09-15 · Juan M....
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Juan M. Escamilla Mólgora 1
National Commission for Knowledge and Use of Biodiversity CONABIO - Mexico 1
Using VIIRS Direct Readout
Capabilities for the Improvement of Mexico's Wild Fire Alert System
CSPP/IMAPP USERS’ GROUP MEETING
May, 21 th, 2013
CIMSS/SSEC, University of Wisconsin-Madison
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CONABIO
• National Commission for Knowledge and Use of Biodiversity.
• Established since 1992
• 250 employees
• Mission: Promote, coordinate and support activities related to the knowledge of biologic diversity, its conservation and sustainable use.
• Main functions: – Operation and development of the National System of Biodiversity
Information.
– Coordination of national and international exchange of knowledge related to biodiversity.
- Real time alert systems for decition makers.
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Wild Fire Alert System [ Milestones ] 1999 • Begining of the Wild Fire Alert program. • Data from DMSP.
2000 • Upgrade: AVHRR receiving antennae • Use Fire Detection Algorithm (Flasse-
Ceccato,1996 ).
2003 • Upgrade: MODIS receiver system mounted. • Automated operational products. • Use of MOD14 products (Giglio et.al., 2003)
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Wild Fire Alert System [ Milestones ]
2004 • Service extension to Central America.
2009 • Deployment of the current webpage: • www.conabio.gob.mx/incendios
2012 • Development of the new version. • VIIRS receiving and processing capabilities
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Current operational processes (MODIS)
Raw data acquisition
an processing
L0 (Terascan – RT-STPS)
Level1 Products (Seadas 6 &
standalone software )
MOD03 (GEO)
MOD07 (Atmosphere)
MOD09 (Reflectances)
MOD13 (NDVI)
MOD14 (Fire mask)
Oceans Monitoring program
Higher level products
Swath reprojected QL and composites
[ MODIS swath2grid]
Hotspot characterization
Anomalies on vegetation index
Moisture content on fuel
End-user products
Shapefiles and KML
Web page publication
Email alert
W*S Services
Burned area afection *
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Current operational processes (VIIRS)
Raw data acquisition
an processing
L0 (Terascan – RT-STPS
[patched ] )
RNSCA-RVIRS
Level1 Products ( CSPP 3.1. SDR_1_3
EDR_1_0 )
GDNBO’s
Day Night Band
SVI’s
SVM’s
AVAFO
IICMO
Higher level products
Npp.points (homemade)
Hotspot characterization
GEOTIFs
End-user products
Shapefiles and KML
Web page publication
Email alert
W*S Services
Burned area afection *
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Current Viirs and legacy Modis operational processes
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Restfull services (Representational State Transfer)
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e.g. Pass inserter
• Satellite : npp
• Telemetry : nppdb
• Date : 20130506
• Time : 200010
• Passnumber : 52
• Number of lines : 7502
• Pass duration : 00:15:30
• Sun azimuth : 67
• Satellite elevation : 55 …
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• http://incendios2.conabio.gob.mx/inserta_paso?ano=2013&mes=04&dia=25&hora=18&min=28&seg=10&sat=NPP&n_l=6070&n_p=60&satelev=14&sunelev=84&satazim=99&sunazim=99&n_orb=7738&satzenith=0&sunzenith=25&dur=00:12:30
• Notifications of amount of space left.
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Operational products
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Viirs and Modis Active Fires
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VIIRS EDR AVAFO
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MODIS MOD14 V.
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Active fires on 1Km grid
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Featurized hotspots
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Export to various formats
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False positives with no data strips
• Fixed with:
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WMS services: Anomalies on NDVI
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Percentage on moisture in dead fuel
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Version 2.0 features
Spatially enabled database Object Mapper API
Web services (JSON,XML)
Advanced statistical and
numerical modules
Objectified wild fire
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Postgres POSTGIS
2.0 SQLAlchemy
Django Scipy,
Numpy, GNU-R
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Supported by Free and Open Source Software
Debian BeautifulSoup
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Wishlist for CSPP EDR
• Include Fire Propagation Rate field (as MOD14) .
• “white-noise” bluring on DNBs
• Aggregate granules on IICMO products.
• Is it possible to reproject IICMO files with polar2grid
• Parallel processing ?
• E.g. per granule. Perhaps with CGI.
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References
• S. P. Flasse, P. Ceccato. “A contextual Algorithm for AVHRR fire detection.” International Jornal of Remote Sensing Vol 17., Iss. 2 (1996).
• L. Giglio, J.Descloitres, C. Justice, J. Kaufman. “ An Enhanced Contextual Fire Detection Algorithm for MODIS.” Remote Sensing of the Environment Volumen 87, Issue 2-3 (2003).
• Chuvieco, E. Aguado, I. Dimitrakopoulus, A. “Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment”, Canadian Journal of Forest Research, 2004, vol. 34 (11), pp. 2284-2293
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References
• Nieto, H., Aguado, I. Chuvieco, E and Sandholt, I. “Dead fuel moisture estimation with MSG–SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content.” Agricultural and Forest Meteorology, Volume 150 (2010) 861–870
• G. J. Roerink, M. Menenti, W. Verhoef "Reconstructing Cloudfree NDVI composites using Fourier analysis of time series." International Journal of Remote Sensing. Vol. 21, Iss. 9, (2000)
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• Thank you for lisening