What Is Remote Sensing?
In its broadest definition, remote sensing means collecting information about an object without being in direct physical contact with it:  learning without touching. The most familiar kind of remote sensing is the use of our eyes to detect light. We also use remote sensing when we hear, and when we feel heat that radiates from a warm object.
 
Bats sense their environments by emitting sound waves (shown above in black). The sound waves hit objects and are reflected back (shown above in white) to the bats. The time it takes for the reflected sound waves to get back to the bats indicates to them how far they are from insect prey, trees, and objects around them. We use remote sensing when we hear in everyday situations. When a car honks its horn, we immediately focus all our attention on it to learn whether or not we are in danger. We also use sound waves to make medical images (ultrasound) and to look for submarines (sonar) from a ship.  Animals use sound waves in sophisticated ways. Bats use them to find insects and to find their way through their surroundings.  When we sit near a fire, we sense its radiant energy (heat). This is a form of remote sensing! Other animals can sense heat even better than we do. Rattlesnakes use special organs on their heads to detect heat radiation from small prey animals such as mice.

Understanding the Advanced Very High Resolution Radiometer (AVHRR) Images

The satellites used for this image are the NOAA Polar Orbiters (also known as TIROS satellites). NOAA, the National Oceanic and Atmospheric Administration, has a very nice description of the Polar Orbiters. The Canada Centre for Remote Sensing has a very nice web page with details on all the NOAA polar orbiter satellites, from NOAA-1 on to future ones. Briefly, the Advanced Very High Resolution Radiometer  (AVHRR) sensor on the NOAA Polar Orbiters scans and transmits back to earth a narrow strip across its ground track 6 times each second. Each strip is about 1 km wide and 1462 km long (909 miles). These scans are received as long as the satellite is in view of the ground station and all the strips together form an image of the earth below. The along track size of the image depends on how long the satellite is visible from the ground station. This may be a very short time if the satellite appears to just skim the horizon, or up to about 15 or 16 minutes if it passes directly overhead. The AVHRR image data has 5 channels or wavelength bands, ranging from the visible to the far infrared. Each band shows somewhat different features as discussed in the next section.   The Satellite Imagery FAQ gives a lot of details about this topic and pointers to other websites.

Color Composite Images: Channels 2, 1, and 3 Displayed as Red, Green, and Blue
This color combination was selected to try to match the commonly used
Landsat infrared color images (which typically uses Landsat bands 4, 3, and 1 as red, green, and blue (wavelengths not the same as AVHRR)). The match is not perfect but the images are similar. Vegetation areas show as red or some variations such as orange or purple. Muddy water or shallow water shows as green. Clear water shows as black if cold or blue if warm. Clouds appear fairly white if warm and yellow if cold. This usually gives a good indication of the relative cloud heights, low clouds are warm and high clouds cold (and yellow). An unfortunate side effect of this color combination is that cold snow appears yellow. Perhaps the best way to learn what the colors in the image mean is to check what time of year the image was taken and look at a detailed road map or other atlas. Urban areas often look pale blue or blue-gray. However barren regions also sometimes show a similar color. Agricultural areas show as a bright red or somewhat orange. Barren areas with some vegetation may appear somewhat purple from the mixture of red and blue. Mountainous areas such as in Colorado show altitude related color bands, from the low barren areas that appear blue, to somehwat more vegetated darker areas, to a brighter red where more vegetation occurs to a darker red typical of pine trees, to a dark yellow-gray of areas above the timberline (and perhaps some brighter yellow areas of snow). Although clear views are the most sought after, it is not always possible to avoid some clouds or variations in atmospheric clarity. High thin cirrus cloud areas may appear as areas that are a bit more yellow than nearby areas, perhaps even faint shadows may be seen. This makes interpretation of any single image harder. Also the time of day makes a difference in the appearance of an image. NOAA-14 daytime views usually have a high sun angle, especially in summer, so relief is not well seen. NOAA-12 images sometimes show very nice shadowing making mountainous areas very apparent. Unfortunately NOAA-12 passes occur in darkness in the winter, useful for water temperature and fires but not for landform images in general.