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)

This chapter walks users through a technique for documenting change in before-and-after sets of satellite images. The technique can be used for any set of time-series images that are spatially registered to show the exact same area at the same... (View More) scale. In the chapter, users examine three Landsat images of the Pearl River delta in southeastern China. In these images, users observe changes in land use, then identify and outline areas of new land that were created by dredging sediments from the river bottom. The final product is an annotated image that highlights new land and indicates when it was created. The 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)

Students will be guided through the process of locating and graphing web-based environmental data that has been collected by GLOBE Program participants. This chapter highlights the opportunities for using GLOBE Program data to introduce basic... (View More) concepts of Earth system science. It 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)

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)

In this chapter, students will explore relationships between air quality and population density using the image visualization tool, Google Earth. You will learn how to download NO2 data and analyze them to develop a conceptual understanding of how... (View More) population and topography can influence the air quality of a region. Once you have learned the techniques, you are encouraged to explore seasonal changes in nitrogen dioxide concentrations at other locations. 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)

In this lesson students will investigate nitrogen dioxide levels in the atmosphere over a one-year period. The students will have to look at several regions from around the world to draw conclusions regarding NO2 amounts. From the plots, students... (View More) will have to brainstorm the reasons behind the variability in NO2 concentrations. Detailed procedures, materials, vocabulary linked to an online glossary, and teachers notes are provided. This lesson is from the MY NASA DATA project, which has created microsets from large scientific data sets, and wrapped them with tools, lesson plans, and supporting documentation so that a teacher, or anyone in the interested public, can use authentic NASA Earth system science data. (View Less)

By matching maps of snow and ice amounts with maps of net radiation flux for the same time frame, students will use the Live Access Server to explore how the net radiation flux has affected the snow and ice amounts in the Northern Hemisphere, as... (View More) well as how the presence of snow can affect the net radiation flux due to surface reflection. The lesson includes detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. This lesson is from the MY NASA DATA project, which has created microsets from large scientific data sets, and wrapped them with tools, lesson plans, and supporting documentation so that a teacher, or anyone in the interested public, can use authentic NASA Earth system science data. (View Less)

In this lesson, students use the Live Access Server to obtain real sea surface temperature data, to create maps and line graphs, and to make comparisons and conclusions about the effects of El Niño and La Ninña. The lesson includes detailed... (View More) procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. This lesson is from the MY NASA DATA project, which has created microsets from large scientific data sets, and wrapped them with tools, lesson plans, and supporting documentation so that a teacher, or anyone in the interested public, can use authentic NASA Earth system science data. (View Less)

This is a problem-based learning activity where students utilize NASA data to identify forested areas at high risk for wildfire. Students assume the role of rangers of the Department of Forestry and draw conclusions from the data in order to attempt... (View More) to prevent forest fires. Step-by-step instructions for use of the MY NASA DATA Live Access Server (LAS) guide students through selecting a data set, importing the data into a spreadsheet, creating graphs, and analyzing data plots. The lesson provides detailed procedures, related links and sample graphs, follow-up questions, extensions, and teacher notes. Designed for student use, MY NASA DATA LAS samples micro datasets from large scientific data archives, and provides structured investigations engaging students in exploration of real data to answer real world questions. (View Less)