12/28/2023 0 Comments Air doc nasaFor example if we have aerosol data ranging from 0.1 to 2.0 AOD but we are mostly interested in the low AOD areas we might assign the color at the high end of our scale to an AOD of 1.0. This means our image will have greater sensitivity to low values since we have a broader range of colors to use when representing values between 0.1 and 1.0. At the same time our image will have no sensitivity to values above 1.0 since they will all appear as the same color. Most often we assign the color at the high end of our selected scale to the maximum value in our data set and the color at the low end of the scale to the minimum value of the data. There may be times where we wish to emphasize and/or have greater sensitivity to the values in a particular part of the data set. Depending on the range of values we need to represent, color scales may be linear or logarithmic. When we want to make an image representing values of data related to specific geographic locations we use color mapping. In this case we select a color scale and assign a color to each point or pixel of data based on its value. For a more detailed explanation and examples see the Rapid Response Site FAQ answer to: “What do the different band combinations mean? “False Color Images” use a combination of satellite bands to produce images which enhance a selected set of features, for instance fires, burn scars, ice and/or clouds. For a more detailed explanation as well as a tutorial on how to create true color images see the FAQ from NASA’s Rapid Response Site under “How do I make true-color MODIS images?” True Color Imagery uses a combination of satellite bands to produce images which mimic how the world appear to the human eye. A series of images can be very effective in providing information on transport of aerosols, however, imagery is very limited in its ability to give us quantitative information.Ī digital color image is a composite of three different color channels, “red”, “green” and “blue”. Most of the time when we talk about imagery we are referring to “True Color Imagery”. Satellite imagery is important for providing context and an overview for any air quality event. It is unmatched in its ability to provide us with qualitative information.
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