The New Tools for Old Problems (NT4OP) series is designed to bring together developers of cutting-edge observational and analytical capabilities and Earth and climate researchers to identify new applications.
Each episode consists of a brief (~20 minute) overview presentation by the expert or team of experts, followed by an open discussion and Q&A session to explore potential new applications of their “tools” to Earth and climate research.
Registration is required to attend the live events, which are recorded and open to all.
Episode 1: Remote Sensing of Water with the ElectroScience Laboratory
Experts: Joel Johnson & Andrew O’Brien
April 5, 2021, 11:30am
Experts from OSU’s ElectroScience Laboratory (ESL) present their pioneering work using ultra-wideband radar and Global Navigation Satellite System (GNSS) reflectometry to measure a wide range of hydrological properties from air and space, including freshwater inundation and flooding, soil moisture, permafrost active layer thickness, as well as ice sheet temperature, snow and sea ice thickness and ocean altimetry.
Episode 2: More Remote Sensing of Water
Experts: Mike Durand & Yuanyuan Jia
April 19, 2021, 11:30am
Professor Durand and Research Scientist Jia from the School of Earth Sciences and the Byrd Center present a range of measurement capabilities for measuring terrestrial hydrology, snow and ocean properties. These methods include both active and passive microwave remote sensing, gravimetry, visible and infrared imagery, with potential applications in agriculture, drought, floods, and water management.
Episode 3: Environmental Surveying with Drones
Expert: Bryan Mark
May 3, 2021, 11:30am
Professor Bryan Mark from the Department of Geography and the Byrd Center, is faculty adviser of the Center’s student-led “Mountain Drone Team”, which has developed and applied drones to surveying a range of hydrological, ecological and geological properties in high-altitude watersheds. He and his team will present on the surveying capabilities of drones and methods for analyzing and fusing drone-based measurements.
Episode 4: Deep Learning in Earth and Climate Science from Satellite Imagery
Expert: Joachim Moortgat
May 17, 2021, 11:30am
Recent advances in satellite observational capabilities and computational power are greatly expanding our ability to monitor the Earth's changing surface. Machine Learning algorithms, first developed for medical imaging, can be trained to automatically detect any feature of interest at the pixel-level, down to sub-meter resolutions and repeated over time. Obvious features of interest are roads, human infrastructure, rivers and other water bodies; but applications abound across disciplines: agricultural land use, energy resources, forestry/deforestation/wildfires, rock outcrops, glaciers and landslides, faulting, contaminant spills, tracking large (herds of) animals, etc. Professor Joachim Moortgat from the School of Earth Sciences develops and applies new deep learning algorithms that are optimized for vast collections of satellite imagery to tackle such problems in collaboration with a broad range of domain experts. He will provide an overview of Earth and Climate science applications and capabilities, but also discuss the significant challenges associated with supervised deep learning.