1. An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part of: NASA ARSET- AQ On-line Short Course Week 3 Presentation May 23, 2012

2. Session 3 – Outline 1. What are true and false color images? 2.What can we learn from images? 3. A tour of useful image archives. 4. Assignment #3

3. RGB Images Red, Green and Blue correspond to the three color receptors in the human eye. These 3 colors are also the basis for all color display technologies from LCD sub-pixels to television color “guns”.

4. Remote Sensing of Radiation Earth-observing satellite remote sensing instruments typically make observations at many discrete wavelengths or wavelength bands. 36 wavelength bands covering the wavelength range 405 nm (blue) to 14.385 μm (infrared) Terra MODIS

5. MODIS Reflected Solar Bands 250 M 500 M

6. MODIS Thermal Bands

7. RGB Images and Remote Sensing Instruments “True Color Image” To simulate what the human eye sees we load the red, green and blue satellite bands into the corresponding display channels. We can create an image by selecting any three bands and load them into the “Red” “Green” and “Blue” display channels.

8. R = 0.66 µm G = 0.55 µm B = 0.47 µm  0 = 36° True Color Image A MODIS “True Color Image” will use MODIS visible wavelength bands 1-4-3

9. True Color Image from VIIRS

10. What can we learn from true color imagery? (Possible) Identification of land, ocean and atmosphere features 1 1 2 2 3 3 4 4 5 5 6 6 8 8 7 7

11. What can we learn from true color imagery? (Possible) Identification of land, ocean and atmosphere features

12. Dust over the Sahara 17 February 2008, Aqua Images courtesy of Yuval Ben- Ami

13. Plume’s area ~ 55,600 km 2 = ~4.5 × area of Maryland 18 February 2008, Aqua

14. 19 February 2008, Aqua Geographic extent and transport of aerosols

15. Sahara dust Wildfire smoke Urban- Industrial Pollution? Smoke from Alaska wildfires Feature Identification is more reliable when a clear source can be seen in the image. Images courtesy of Phil Russell

16. The color of dust or smoke can tell us something about chemical properties.

17. Doing More with Satellite Imagery  In visible imagery water is dark because it absorbs most of the energy.  Clouds are white because most of the incoming energy is reflected  Pollution is hazy depending upon its absorptive properties If we understand the physics of how particular wavelengths interact with objects in the world we can create images to emphasize what we want to see

18. R = 1.6 µm G = 1.2 µm B = 2.1 µm False Color Images “False Color Image” To enhance particular features we want to see in an image we load bands into the red, green and blue display channels which do not correspond to the visible red, green, and blue wavelengths.

19. Volcanic Ash R:0.645 um, G : 0.858um, B : 0.469 um (All channels equalized)

20. Volcanic Ash R:0.645 um, G : 0.858um, B : 11.03 um (All channels equalized, B channel also flipped)

21. Using False Color Images to Identify aerosol types Dust Smoke from Y. Kaufman Both dust and smoke interact with the shorter wavelengths reflecting light back to the sensor.

22. Spectral optical properties of aerosol Dust Smoke from Y. Kaufman Dust particles interact with the longer infrared wavelengths but not the smaller smoke particles which remain invisible.

23. Spectral optical properties of aerosol Dust Smoke from Y. Kaufman The distinction of aerosol types is made possible by: 1.The wide spectral range of the MODIS sensor. 2.Understanding how light interacts with the particles, gases and surfaces it interacts with.

24. Visible (RGB=0.66  m, 0.55  m, 0.46  m) SWIR (RGB=1.64  m, 1.24  m, 2.13  m) Spectral Images vs Color Maps True Color Image False Color Image AFRI=(  0.86-  2.1/2)/(  0.86-  2.1/2) NDVI=(  0.86-  0.66)/(  0.86-  0.66) Color Maps Values are assigned colors according to the scale below each image. Spectral information is used to detect chlorophyll. High values indicate more vegetation.

25. Landsat True and False Color Animation http://landsat.gsfc.nasa.gov/education/resource s/L7_sanfran_onionskin.mov

26. MODIS Rapid Response Site http://earthdata.nasa.gov/data/near-real-time-data/rapid-response MODIS-Atmos Site http://modis-atmos.gsfc.nasa.gov/IMAGES/index.html NASA’s Visible Earth http://visibleearth.nasa.gov NASA’s Earth Observatory http://earthobservatory.nasa.gov NASA Earth Observations (NEO) http://neo.sci.gsfc.nasa.gov MODIS Today http://ge.ssec.wisc.edu/modis-today/ A Brief Tour of Some Useful Image Archives

27. MODIS Rapid Response Site http://lance.nasa.gov/imagery/rapid-response MODIS only image archive which is easy to search. Quick posting of new MODIS images. Links to data used to generate MODIS images. Collections of images by region and by association with ground based instruments NASA’s Visible Earth http://visibleearth.nasa.gov A tremendous archive of images and animations from and about many sensors. Search results can be too large to browse through unless many conditions are added to the search. NASA’s Earth Observatory http://earthobservatory.nasa.gov Site designed for outreach and education. Images and stories of Earth Science phenomena are linked. Subscriptions to newsletters to keep track of recent stories and Natural Hazards. NASA Earth Observations (NEO) http://neo.sci.gsfc.nasa.gov Site designed for outreach and education. Can explore several remote sensing products with an easy to use interface. The ability to quickly produce high quality graphic images from the site. The ability to quickly create products that can be mapped onto Google Earth.

28. The site includes a searchable archive of “Image of the Day” Site #2 NASA’s Earth Observatory http://earthobservatory.nasa.gov/ http://earthobservatory.nasa.gov/

29. NASA’s Earth Observatory is intended to be an educational site for the general public with an interest in Earth Science. Feature articles explaining Earth Science issues and phenomena The site includes a searchable archive of “Image of the Day”

30. A simple search using “fires” “california” returns 63 pages of results. You can use the drop down menu to choose a section of the site to search to reduce the number of results. Site sections include: Image of the day Features Natural Hazards News Blogs

31. You can browse the archive by broad topic categories

32. You can browse within a topic by subtopic or by date. Natural Hazards Section

33. http://earthobservatory.nasa.gov/Subscribe/ One very nice feature of this site is the option to subscribe to any of several e-mail news letters. For example, if you wanted to keep track of the most recent news on volcanic eruptions, you would subscribe to the Natural Hazards Daily

34. Sample Update e-mail from the Natural Hazard mailing list

35. GLIDER Software GLIDER is a comprehensive tool for image analysis, classification and data mining. Explore the various aspects of GLIDER More importantly, it’s free! http://miningsolutions.itsc.uah.edu/glider/

36. Imagery Links MODIS Rapid Response Site http://earthdata.nasa.gov/data/near-real-time-data/rapid-response NASA’s Visible Earth http://visibleearth.nasa.gov NASA’s Earth Observatory http://earthobservatory.nasa.gov NASA Earth Observations (NEO) http://neo.sci.gsfc.nasa.gov MODIS- Atmos (MODIS Atmosphere Product Reference Site) http://modis-atmos.gsfc.nasa.gov/IMAGES/index.html Tutorial on constructing RBG images. http://www.zamg.ac.at/eumetrain/CAL_Modules/CALRGB/rgb1_2.htm GLIDER Tool http://www.ssec.wisc.edu/hydra/