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Remote Sensing Data Currently Available for Vector-borne Disease Modeling

Remote Sensing Data Currently Available for Vector-borne Disease Modeling. Penny Masuoka Uniformed Services University NASA Goddard Space Flight Center Katalin Kovacs Science Systems and Applications Inc. NASA Goddard Space Flight Center. Overview of Presentation.

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Remote Sensing Data Currently Available for Vector-borne Disease Modeling

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  1. Remote Sensing Data Currently Available for Vector-borne Disease Modeling Penny Masuoka Uniformed Services University NASA Goddard Space Flight Center Katalin Kovacs Science Systems and Applications Inc. NASA Goddard Space Flight Center

  2. Overview of Presentation Multispectral Imagery – what’s available and what to order Data Products - Weather Products - Vegetation Indices - Digital Elevation Models - Land Cover Example Imagery and Data Products: MODIS

  3. Which Images to Use? • Low resolution • Greater than 200 meter pixels • Country or continental scale studies • Medium resolution • 10 – 100 meter pixels • Regional studies • High resolution • Less than 10 meter pixels • Local studies

  4. Low Resolution - MODIS Image of Nile Delta - 1 km pixels

  5. Medium Resolution Cairo, Egypt Subset of Landsat Thematic Mapper False Color IR 30 meter pixels Pyramids

  6. High Resolution IKONOS image of the pyramids 1 meter pixels

  7. The Resolution Trade Off • As spatial resolution increases: • Spectral resolution (number of bands) decreases • File size increases • Cost increases • Lesson: Use the lowest resolution data that will get • the job done. • How do you decide which resolution?

  8. Example: Estimating Mosquito Habitat Area in Korea IKONOS – 4 m pixels Landsat – 30 meter pixels Estimate of Habitat Area: 5,712,291 m2 Estimate of Habitat Area: 5,909,175 m2 Source: David Claborn and Penny Masuoka

  9. Either Landsat or IKONOS images could be used to estimate mosquito habitat in Korea, but to cover a 100 by 100 km. area: SensorCost Landsat ETM+ $600 ($600 per 185 x 185 km. scene) IKONOS $403,000 ($40.30 per sq. km.*) *Price varies depending on location. ($27 per sq. km. in Central America) DoD buyers must purchase through the National Geospatial-Intelligence Agency (www.nga.mil) and cost may be higher, but any imagery that they already have is free.

  10. Current High Resolution Multispectral Sensors

  11. A Few Current Medium Resolution Multispectral Sensors

  12. A Few Current Low Resolution Multispectral Sensors

  13. What we didn’t cover: Radar Future Satellites Others: BILSAT,CBERS CCD, CBERS IR-MSS, CBERS WFI, ENVISAT MERIS, EROS A, ERS ATSR, IRS MOS, IRS WiFS, IRS OCM, Priroda/Mir MOMS, Priroda/Mir MSU-SK, Resurs OI N2 MSU-SK, etc. Find out more about these and others on this NASA website: http://geo.arc.nasa.gov/sge/health/sensor/sensor.html

  14. Data Products Derived from Remote Sensing Data: Weather Products (Precipitation, Temperature, Humidity) Vegetation Indices Digital Elevation Models Land Cover

  15. Weather Products Uses: Can monitor conditions that affect vector-borne disease outbreaks. Source: NCEP/NCAR Reanalysis data (derived from ground stations, satellite data and weather models): http://www.cdc.noaa.gov/cdc/reanalysis/reanalysis.shtml Total precipitation January - March. Total precipitation July - September. Average temperature January - March. Average temperature July - September. Source: Andrew Au, NASA

  16. Vegetation Indices Uses: A high vegetation index indicates wet conditions that can be associated with a disease outbreak (such as Rift Valley Fever). Sources: MODIS vegetation indices: http://redhook.gsfc.nasa.gov/imswww/pub/imswelcome/index.html AVHRR Normalized Difference Vegetation Index (NDVI): http://edcdaac.usgs.gov/1KM/comp10d.html

  17. Digital Elevation Models (DEM) Uses: Elevation can be a limiting factor in the location of a disease. Sources: NASA Shuttle Radar Topography Mission http://srtm.usgs.gov/index.html GTOPO30 http://edcdaac.usgs.gov/gtopo30/gtopo30.html Global Land One-Kilometer Base Elevation (GLOBE) http://www.ngdc.noaa.gov/seg/topo/globe.shtml High Low

  18. Land Cover Uses: Land cover maps can be used to define vector habitat areas. Source: http://LPDAAC.usgs.gov/glcc/globe_int.html Land cover map

  19. Example of Using Data Products: Bartonellosis in Peru Elevation Land Cover Areas at Risk for Bartonellosis Bartonellosis occurs in agricultural areas at elevations between 1800 and 3400 meters. Weather data could be added to this model to decide when and where to spray pesticides.

  20. Example: MODIS • MODerate-resolution Imaging Spectroradiometer • Spatial resolution: 250m (2 bands), 500m (5 bands), 1km (29 bands) • 36 spectral bands (Visible-IR) • Is on Terra and Aqua spacecraft • 40 science products with daily volume of 880GB per instrument • Available for free on the internet

  21. MODIS Products MODIS Ocean Atmosphere Land Products: MOD04 Aerosols MOD05 Water Vapor MOD06 Cloud MOD35 Cloud Mas … Products: MOD36 Ocean Color MOD28 SST … Products: MOD09 Reflectance MOD12 Snow Cover MOD13 Vegetation MOD14 Thermal Anomaly … To learn more go to: http://modis.gsfc.nasa.gov/

  22. MOD09 image Smoke over the Eastern US Source: http://modis.gsfc.nasa.gov/

  23. Temporal Resolution Versions 250 m 500 m 1000 m 4 km 5 km 5 min 0.05 deg 0.25 deg Etc… daily 8-day composites 16-day composites 96-day composites Etc… Version3 v003 Version4 v004 MODIS Data products come in different Spatial Resolution ~But most products do NOT come with all these resolutions and versions~ To learn more go to: http://modis.gsfc.nasa.gov/data/dataproducts.html

  24. … and Each MODIS Data product has several data layers (some have 2 and some have 13 or more) For Example the MOD13 500m product has 11 bands: 1 500m 16-day NDVI 2 500m 16-day EVI 3 500m 16-day NDVI Quality 4 500m 16-day EVI Quality 5 500m 16-day Red Reflectance 6 500m 16-day NIR Reflectance 7 500m 16-day Blue Reflectance 8 500m 16-day MIR Reflectance 9 500m 16-day average view zenith angle 10 500m 16-day average sun zenith angle 11 500m 16-day average relative azimuth angle

  25. Hi! I’m Bob. What’s in a Name? MOD13A1.A2003161.h11v05.004.2003183014032.hdf Product short name Spatial Resolution (in general) A2=1km A1=500m Q1=250m Acquisition date year day of year format SIN tile location horizontal and vertical version Terra MODIS product names start with MOD Aqua MODIS product names start with MYD

  26. What are SIN and ISIN GRIDs? Source: Robert Wolfe

  27. To order data go to: Confused? Tiles Data Granules v004 Layers order Bands http://redhook.gsfc.nasa.gov/imswww/pub/imswelcome/index.html ISIN search Data products Data Sets Bins v003 SIN Try the Frequently Asked Questions Page: http://redhook.gsfc.nasa.gov/~imswww/3.5/imswelcome/imswww.faq.html To learn how to order data: http://redhook.gsfc.nasa.gov/~imswww/Tutorial/main.html

  28. Once you find the data, you will need to • Get it on your computer • use FTP or read it in from media (8mm tape, CD, DVD) • View it • use a free HDF tool or an image processing software • Reproject it • use the free MODIS Reprojection Tool or GIS software Free HDF tools: http://daac.gsfc.nasa.gov/MODIS/software.shtml Free Projection tool: http://edcdaac.usgs.gov/tools/modis/

  29. At this point you may be saying: Help!!! I don’t know how to process remote sensing data! NASA may be able to help…

  30. Example Customized MODIS Products for Federal Agencies: MODIS Rapid Response System History • Summer 2000, MODIS images used by US Forest Service in fighting fires in Montana/Idaho • 2001 Rapid Response system produced automated, near real time MODIS images for monitoring fires and other natural hazards • Products are posted on the web within 3-6 hours from acquisition http://rapidfire.sci.gsfc.nasa.gov Applications and Customers • US Forest Service - active fire locations • USDA Foreign Agricultural Service – monitoring crop stress and drought • Department of Defense – mission planning/monitoring weather and dust in Afghanistan and Iraq • Environmental Protection Agency – monitoring hazardous material sites, Iraq war (smoke)

  31. Example MODIS Rapid Response Product Fires in Australia Feb 4, 2003 Source: http://earthobservatory.nasa.gov/Study/Sentinel/

  32. Discussion There are many remote sensing images and products currently available. Use of the images/products requires a great deal of expertise. Partnerships between remote sensing scientists, modelers, entomologists, etc. will be necessary to create effective decision support systems for disease prevention.

  33. Thanks to the following people for helpful suggestions on this talk: • Robert Venezia • Timi Vann • Brian Zeichner • Richard Wells

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