2004-11-13 The relationship between surface data and satellite data
Download as PPT, PDF0 likes217 views
The document discusses comparing surface particulate matter data from monitoring stations to satellite imagery data of aerosol optical thickness to better understand the relationship between the two. It describes a program that takes latitudes and longitudes of PM monitoring stations and finds the correlating pixel value from satellite images for the same day. Preliminary results are outputted with both PM and AOT values to allow for further analysis. The goal is to get a more complete picture of aerosols by looking at data from both the surface up and from satellites down.
1 of 7
Download to read offline
More Related Content
What's hot (17)
Ad
Similar to 2004-11-13 The relationship between surface data and satellite data (20)
Ad
More from Rudolf Husar (20)
Recently uploaded (20)
2004-11-13 The relationship between surface data and satellite data
- 1. The relationship between surface data and satellite data Rudy Husar Erin Robinson
- 2. Abstract The land surface has optical properties that can change significantly over time and can be affected by particles in the air. Using data extracted from SEAWiFS satellite images with Sean Raffuse's programs, we are now looking at the relationship between satellite data and data monitored from the ground. One specific way we are doing this is by creating a program that reads in a list of latitudes and longitudes for stations collecting PM data and the particular value for that day, this program then finds the correlating pixel on the Aerosol Optical Thickness image (AOT) for the same day. This value is then written out and further analysis can take place. It is interesting to study this relationship because some aerosols travel close to the surface like smog, while other particulate matter like smoke can travel very high up being seen by the satellite, but not by the PM stations on the ground. By looking at both from the ground up and from the satellite down a more complete picture of the aerosol can be obtained.
- 3. August 8, 2000: Idaho Smoke Event
- 4. Using IDL Compile PM2.5 Data into a text file Read the text file into the program Using the appropriate AOT file find the pixel that correlates to the appropriate latitude/longitude of the station Write out the same file with AOT values included
- 7. Conclusions and Future Research