Hello and welcome to this week in Remote Sensing where ill be discussing this weeks look at multi-spectral image analysis specifically looking for trends in thermal or infrared energy. This week was designed to focus on being able to compose a series of different raster bands into a composite image in both ERDAS Image and ArcMAP. Then having a multi-band composite image being able to manipulate that bands being displayed by color, and interpreting the resulting image. A couple different images were provided by UWF to exercise these skills and to ultimately come up with a user derived analysis of some particular feature. Lets look at my composite map and then we will discuss how I met the objectives above.
This is a thermal overview of Florida's emerald coast. The image is as of February 2011 provided by UWF. I have made a composite of the original 7 bands of information available. The main map and two insets are all the same image with different band combinations or visualizations of the available data. The central feature to all three images is a large oblong clearing. What is this clearing? It is one of the many available military firing ranges located along the panhandle. What am I trying to do with it. Overall im trying to differentiate this area from its surroundings using thermal imagery. The purple image comes from a unique combination of infrared both short wave and thermal bands to provide brightness to the "hottest" areas. These are those areas that heat up and or emit the best. You can see that there is a very similar spectral signature all along the island to the south. Santa Rosa island is made up of white sand beaches and dunes and appears as the only feature that might be spectrally similar to the artillery ranges. The color inset is another infrared look at the area, but rather than a grayscale color has been used to help give characteristic spectral pattern to the other images. Additionally for reference you can see that when viewed in true color that ranges do stand out fairly easily, and it was this resolution and clarity of image that I wanted to have replicated using an all infrared color image. I think it worked well. What about you? Ultimately this banding combination is great at identifying land clearings specifically, but you can also see a good range of vegetation density and land water contrast even if that wasnt my original focus. Thank you.
This is a thermal overview of Florida's emerald coast. The image is as of February 2011 provided by UWF. I have made a composite of the original 7 bands of information available. The main map and two insets are all the same image with different band combinations or visualizations of the available data. The central feature to all three images is a large oblong clearing. What is this clearing? It is one of the many available military firing ranges located along the panhandle. What am I trying to do with it. Overall im trying to differentiate this area from its surroundings using thermal imagery. The purple image comes from a unique combination of infrared both short wave and thermal bands to provide brightness to the "hottest" areas. These are those areas that heat up and or emit the best. You can see that there is a very similar spectral signature all along the island to the south. Santa Rosa island is made up of white sand beaches and dunes and appears as the only feature that might be spectrally similar to the artillery ranges. The color inset is another infrared look at the area, but rather than a grayscale color has been used to help give characteristic spectral pattern to the other images. Additionally for reference you can see that when viewed in true color that ranges do stand out fairly easily, and it was this resolution and clarity of image that I wanted to have replicated using an all infrared color image. I think it worked well. What about you? Ultimately this banding combination is great at identifying land clearings specifically, but you can also see a good range of vegetation density and land water contrast even if that wasnt my original focus. Thank you.
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