Soil scientists study the physical and chemical properties of soil. A soil scientist reviews the distribution, origin, and history of soil and plants, as well as identifying, interpreting, mapping and/or managing soils. This field is commonly applied for agricultural purposes. Fieldwork is frequently required.

Teachers, are you looking for resources to help you engage students in data analysis related to the Urban Heat Island in North America?

Check out the images featuring two science variables related to Urban Heat Islands: Monthly Surface Air Temperature (degrees Celsius) &  Monthly Daytime Skin Temperature (degrees Celsius).

Atmospheric scientists study the weather and climate and examine how those conditions affect human activity and the earth in general. Most atmospheric scientists work indoors in weather stations, offices, or laboratories. Occasionally, they do fieldwork, which means working outdoors to examine the weather. Some atmospheric scientists may have to work extended hours during weather emergencies.

Use the Data Literacy Cube to guide students’ exploration of data to enrich their observations and inferences.  This is a flexible resource that may be used with a variety of graphical representations of data.  This activity requires a graph for students to evaluate.   Fo

The purpose of this activity is for students to create a desktop soil profile based on the biome region of the United States where your school is located.

Students will identify and describe the relationship between land cover classification and surface temperature as they relate to the urban heat island effect. Students will also describe patterns between population density and the locations of urban heat islands. 

In this mini-lesson, students analyze soil moisture quantities associated with Hurricane Harvey around Houston, Texas on August 25, 2017.

Students interpret a graph of surface temperatures taken from city districts and other types of communities.

In this activity, students explore three indicators of drought are: soil moisture, lack of precipitation, and decreased streamflows. Students investigate each of these parameters develop a sense for the effects of drought on land.

A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.