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An illustration of a satellite flying over Earth's surface. The satellite is gold colored, shaped like a capital I, with two blue solar arrays extending horizontally from the middle like wings. Sunlight glints off the right-most panel. The Earth below is a combination of water and dry land, with the areas of water glowing gold, like gilding.
A full color overhead view of the Mississippi River Delta region, including New Orleans, Lake Pontchartrain and surroundings.
A satellite image shows a portion of the dark blue Caribbean Sea near Jamaica. A submerged carbonate platform appears as a slightly brighter blue area of water in the center. The mostly green island of Jamaica is in the upper right, and scattered clouds are present throughout.

Color-a-Pixel Patch

Satellite images are built from thousands (or millions!) of tiny squares called pixels, and each one adds a small piece of information to the overall picture. The more pixels an image has, the higher its resolution — allowing scientists to see finer details and better understand Earth’s surface.

Get This Badge about Color-a-Pixel Patch

Age

11+

Duration

~1 hour


Color-a-Pixel Patch Activity

Discover how scientists see the Earth from space, one pixel at a time.

  1. Explore your pixel grid
  2. Color your image
  3. Discover the power of resolution


What is the significance of pixels in satellite data?

Lots of satellites take pictures of Earth. Often, each satellite is programmed to travel in a specific orbit – meaning a circular path – around the plant, photographing specific areas. As technology has gotten better, we get better and better pictures. The quality of a picture is called its resolution, which is determined by how many individual dots of color (pixels) make up the image. 

In this activity, we are going to understand how pixels are important to pictures by coloring in each pixel on our own satellite image. As you color each square, the image will start to appear!  


How do scientists use pixels in their research?

Satellite image resolution is important for scientists, because it determines how much detail they have to be able to accurately observe, measure, and analyze the Earth’s surface. For example, a high-resolution image would be needed for a researcher to count how many individual trees are in a particular area.