This chapter describes how to set a scale and measure distances and areas on satellite images. Using ImageJ, a freely available image analysis program that runs on most operating systems, users set the spatial calibration of an image, then select... (View More) and measure distances and areas on it. The measurement results are reported in real-world units. The technique is most useful and accurate for nadir view (straight down) images. In this chapter, users examine satellite images of the Aral Sea, which has shrunk dramatically since 1960 because the rivers that flow into it have been tapped for irrigation. Users access satellite images of the region, then set a scale and measure the width of the sea each year. On another set of images, they highlight areas that represent water and measure them to see how these areas of the sea changed. This chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

In this activity, users download and graph modeled climate data to explore variability in climate change. Most people know that climate changes are predicted over the next hundred years, but they may not be aware that these changes are likely to... (View More) vary from region to region. Using data from the University of New Hampshire's EOS-WEBSTER, a digital library of Earth Science data, users will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for each of these 5 states: New York, Georgia, Colorado, Minnesota, and California. Data will span the years 2000 through 2100. Users will import the data into Excel and analyze it to see what, if any, regional variability exists. Finally, they will download data for their own state, compare these results with the results from the other 5 states and use their results to answer questions related to climate change. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

Users explore data, using My World GIS, that characterize the dynamic Greenland Ice Sheet. By examining photographs, map views, and tabular data, users gain an understanding of how and why scientists are monitoring the ice sheet and what they are... (View More) finding. Users explore map layers that represent ice sheet thickness, weather station locations, and annual melt extents of the ice sheet. They learn about the working conditions that Arctic scientists must endure to collect their data, and how sensors on satellites are used to gather information from an area as large as Greenland. Finally, users learn about scientists' methods for measuring ice flowing downhill from Greenland, and examine that data to learn how fast the ice is moving. This chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page. (View Less)

This self-paced, interactive tutorial incorporates data sets from a variety of sources to investigate coastal oceanographic processes and their connections to climate and biology. Learners will predict coastal upwelling events based on prevailing... (View More) physical conditions, and become familiar with how upwelling and bloom events in the ocean can be detected using satellite imagery, and make connections between local ocean conditions and global consequences. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the second of three modules in the tutorial, Coastal Upwelling. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial examines upwelling in non-coastal regions of the ocean as well as the factors that influence algal blooms. Learners become familiar with ocean dynamics that create a surface deficit of water and cause upwelling,... (View More) and engage in activities that allow them to detect and measure the areal extent of blooms using remotely-sensed imagery. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the third of three modules in the tutorial, Coastal Upwelling. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial explores how biological activity helps to determine vertical nutrient distributions in the ocean, examines why upwelling boosts marine productivity, and considers how various physical forces interact to... (View More) determine upwelling. Learners then predict coastal upwelling events based on prevailing physical conditions as identified in remotely-sensed imagery. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Coastal Upwelling. (Note: requires Java plug-in) (View Less)