NASA’s Operation IceBridge uses remote sensing techniques to build a picture of parts of our world not accessible or easily observed by humans. Flying 1500 feet above sea and land ice, the science team uses LiDAR, Radar, Infrared imaging, and high resolution digital imagery to collect information about our polar regions year after year. In this classroom project, inspired and
NASA’s Operation IceBridge, the largest airborne survey of Earth’s polar ice, uses remote sensing techniques like LiDAR (light detection and ranging), snow- and ice-penetrating radar, high resolution digital imaging, and infrared cameras to collect information on our changing ice sheets and sea ice. Several times each year a science team and flight crew head out on month-long campaigns in
The PolarTREC expedition places the teacher in the role of student. All aspects of the expedition ask the teacher to stretch her mind and reach beyond her comfort zone. This stretch presents itself to the teacher in having to learn new technology, new science, new presentation formats, and meet, live and collaborate with
Data collected from experimental manipulations of ecological processes can help us understand the natural world, and perhaps even help scientists predict how complex systems may change. At CiPEHR, (Carbon in Permafrost Heating Experimental Research) located near Denali National Park, scientists have collected and analyzed seven years of data to learn how increases in soil temperatures influence the carbon
The PolarTREC program and my experience with NASA’s Operation IceBridge during the 2016 Spring Arctic Campaign in Greenland has reinforced my belief in teacher-researcher collaborations as a powerful tool for engaging students in STEM and giving them the chance to think and explore career possibilities outside of the four walls of their classrooms. One of the most effective
Models are great to use to make a concept easier to understand, to visualize a process or outcome, and also to allow a scientist to test selected variables. IMOLD is a great model of leaf decomposition, because it allows the students to interact with two variables affecting decomposition rates, and test those variables in many more ways than they could