## Educational Resources - Search Tool

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Explore using units in calculations with the Leaf Area Index (LAI). LAI is a ratio that describes the number of square meters of leaves per square meter of available land surface. Because of the units in the ratio, it is dimensionless.

Explore using units for calculations with Normalized Difference Vegetation Index (NDVI). As can be seen through a prism, many different wavelengths make up the spectrum of sunlight. When sunlight shines on objects, certain wavelengths are absorbed and other wavelengths are reflected.

Scientific data are often represented by assigning ranges of numbers to specific colors. The colors are then used to make an images which allow us to see patterns more easily. Students will make a false color image using a set of numbers.

This USGS activity leads students to an understanding of what remote sensing means and how researchers use it to study changes to the Earth’s surface, such as deforestation.

Information from satellites if often used to display information about objects. This information can include how things appear, as well as their contents. Explore how pixel data sequences can be used to create an image and interpret it.

The purpose of this activity is to have students use an Earth Systems perspective to identify the various causes associated with changes to Earth's forests as they review Landsat imagery of site locations from around the world.

This investigation introduces students to the significant environmental changes occurring around the world. The investigation uses NASA satellite images of Brazil to illustrate deforestation as one type of environmental change.

Examine data to evaluate the primary land cover in 1900 versus the projected primary land cover in 2100. Discuss the implications of the differences.

Learn how Landsat data are used to detect changes in land use. This video describes how the data are interpreted and gives examples of changes in forests from different insects and differences due to land management.

Students identify kinds of land cover (such as roads, fields, urban areas, and lakes) in Landsat satellite images. They decide which land cover types allow the passage of water into the soil (pervious) and which types do not allow it (impervious).