In this self-paced, interactive tutorial, learners become familiar with basic concepts related to remote sensing of the Earth by satellites. Geosynchronous Earth Orbit (GEO) and Low Earth Orbit (LEO) satellites, as well as different types of onboard... (View More) sensors, are examined for their applicability to various real-world data collection and research applications. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Principles in Remote Sensing. (Note: requires Java plug-in). (View Less)

This self-paced, interactive tutorial explores the use of remote sensing to monitor the weather and climate of the Great Lakes. Learners apply NASA satellite data as they examine the on-the-ground impact of seasonal changes in weather, including the... (View More) movement of storm tracks, lake-effect and lake-enhanced weather events, and become more familiar with the weather and climate of the Great Lakes region. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the second of three modules in the tutorial, Great Lakes Weather and Climate. (Note: requires Java plug-in). (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 is a self-paced, on-line tutorial where learners can identify and analyze jet streams using water vapor imagery from weather satellites. Learners are introduced to the concept and function of the water vapor channel and how these images compare... (View More) with weather models. An optional embedded refresher tutorial with providing meteorological background information about jet streams supports student-centered investigations in three learning scenarios: a jet stream tracking challenge made by a TV meteorologist, analyzing data in a in-air turbulence scenario involving an airline pilot, and a decision-making challenge involving the launching and tracking of a weather balloon. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the third of three modules in the tutorial, Water Vapor Imagery. (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 enables learners to discover practical uses for water vapor imagery from weather satellites. The module introduces the concept and function of the water vapor channel of satellite imagery, and teaches how to... (View More) interpret and apply data obtained from the water vapor channel. At the end of the tutorial, links are provided to real world data collected by NASA satellites where learners can apply the skills they have acquired. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Water Vapor Imagery. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial introduces classic weather patterns and unique meteorological events associated with the seasons in the Great Lakes region, while simultaneously demonstrating the utility of remote-sensing data to monitor... (View More) changes in weather and climate. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the third of three modules in the tutorial, Great Lakes Weather and Climate. (Note: requires Java plug-in) (View Less)

This self-paced, interactive tutorial explores the use of remote-sensing data to monitor Great Lakes weather and climate. Interactive tools are provided to allow the learner to compare the surface area of the different Great Lakes. Seasonal climate... (View More) extremes observed in the Great Lakes region is explained by the geographical characteristics of its mid-latitudinal location, and are documented in a series of seasonal images produced by satellite sensors. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the first of three modules in the tutorial, Great Lakes Weather and Climate. (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)

In this self-paced, interactive tutorial, learners encounter basic concepts in remote sensing via satellites, and investigate various techniques for manipulating and analyzing satellite images. Topics included include temporal resolution, weather... (View More) forecasting, adjusting contrast for feature identification, Legrangian Animation, channel combination and color enhancement. This resource is part of the tutorial series, Satellite Observations in Science Education, and is the third of three modules in the tutorial, Principles in Remote Sensing. (Note: requires Java plug-in) (View Less)