## Educational Resources - Search Tool

Displaying results 1 - 10 of 20

In this activity, students use satellite images from the NASA Landsat team to quantify changes in glacier cover over time from 1986 to 2018.

CERES Monthly Snow/Ice Percent Coverage - Examine the two time series images to determine the differences between seasonal ice melt over water versus land.

Visit this link to explore careers in Engineering Technician.

Remote sensing scientists use sensors to analyze data and solve regional, national and global concerns. For instance, natural resource management, urban planning, and climate and weather prediction are applications of remote sensing. Many scientists develop new sensor systems, analytical techniques, or new applications for existing systems.

In this lesson, Observing Earth’s Seasonal Changes, students observe patterns of average snow and ice amounts as they change from one month to another, as well as connect the concepts of the tilt and orbit of the Earth (causing the changing of seasons) with monthly snow/ice data from January 2008

A Data Support Specialist works with the user community to understand their science needs with the goal of providing support for NASA data and information services.  They represent the user in product development and development resources to assist with the user community's needs.  This person works directly with users to solve problems using NASA data, or to provide resources to improve understanding of the data.

Mathematical modelers use mathematics to create models that demonstrate complex processes or solve problems. Many mathematical modelers use their skills to create and animate 3D representations of their processes with the assistance of software technology.

LIDAR Remote Sensing Technologists uses remote sensing strategies to analyze data to solve problems in areas across the globe. They use LIDAR - Light Detection and Ranging - as a method of remote sensing to examine the surface of the Earth.

Sea Level Scientists are also known by several other names (marine geologist, paleoceanographer, paleoclimatologist, etc.). These professionals use natural records from the past to characterize local, regional, and global environments.

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.