In heavily forested environments, the digital deletion of vegetation through lidar remote sensing and the generation of bare-earth digital elevation models has enhanced our abilities to observe and quantify geologic hazards. In this forum Dr. Wegmann will present examples from studies in Washington, Colorado, and North Carolina where lidar datasets allow for improved identification and…
The world is getting hotter and in many cases wetter. Impacts on coastal carbon cycling are becoming realized yet our ability to model these processes remain in their early stages. Knowledge gained from specific case studies will form a basis for considering pulses of extreme events occurring amongst the presses of land use change and…
Geospatial Analytics Ph.D. students will share current research in a series of lightning talks:
Environmental Drivers of Vector-borne and Zoonotic Diseases: Leveraging Remote Sensing in Public Health Summary: Vector-borne and zoonotic diseases are responsible for one-sixth of disease and disability worldwide. Their distribution and spread is highly dependent on the environment. In the face of the environmental changes brought about by the Earth-system crisis, remote sensing has gained renewed…
Using Satellite Data for Species Distribution Modeling with GRASS GIS and R >>> REGISTER HERE! <<< (Register now to reserve your spot!) Summary: Species distribution models (SDM) have traditionally used climatic data as predictors of habitat suitability for the target species. In this hands-on studio, we will explore the use of satellite data to derive…
Monitoring Air Pollutants and Greenhouse Gases from Space Summary: Robust predictions of air pollution and climate forcing require better representations of air pollutant and greenhouse gas emissions than we have at present. In this forum presentation, Dr. Zhen will show how satellite observations, an atmospheric chemical transport model, and statistical methods are applied to estimate…