LiDAR Profiling Satellite Observations for Air Quality Applications
Active remote sensing observations, like those from LiDAR (Light Detection And Ranging), can provide information on the vertical structure of atmospheric trace gases, aerosols, and clouds, complementing passive remote sensors. Lidars transmit laser pulses and measure laser light scattered back to determine the altitude of gases, aerosols, and clouds with high accuracy. This training introduces data-users to the fundamentals of lidar remote sensing, highlighting strengths, limitations and differences when compared to passive remote sensors. Case studies will be used to demonstrate how to interpret lidar imagery from a variety of past and current spaceborne lidars, including the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Cloud-Aerosol Transport System (CATS), the Ice, Cloud, and Elevation Satellite, version 2 (ICESat-2), and the Earth Cloud Aerosol Radiation Experiment (EarthCARE) and provide instruction on how to acquire lidar data for analysis by the user.
Learning Objectives: By the end of this training, attendees will be able to:
To Register: https://go.nasa.gov/4jIlOwr
Audience: Air quality managers, air quality modelers and forecasters, commercial aviation, hazardous plume monitoring and forecasting (e.g., smoke, dust, volcanic ash), researchers, and academia.
Course Format: Two 1.5-hour parts including Q&A. An identical session for each part will be offered at two different times of day (11:00-12:30 and 14:00-15:30 EDT [UTC-4]).
Active remote sensing observations, like those from LiDAR (Light Detection And Ranging), can provide information on the vertical structure of atmospheric trace gases, aerosols, and clouds, complementing passive remote sensors. Lidars transmit laser pulses and measure laser light scattered back to determine the altitude of gases, aerosols, and clouds with high accuracy. This training introduces data-users to the fundamentals of lidar remote sensing, highlighting strengths, limitations and differences when compared to passive remote sensors. Case studies will be used to demonstrate how to interpret lidar imagery from a variety of past and current spaceborne lidars, including the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Cloud-Aerosol Transport System (CATS), the Ice, Cloud, and Elevation Satellite, version 2 (ICESat-2), and the Earth Cloud Aerosol Radiation Experiment (EarthCARE) and provide instruction on how to acquire lidar data for analysis by the user.
Learning Objectives: By the end of this training, attendees will be able to:
- Identify past and currently available lidar missions and their characteristics
- Recognize the capabilities of LiDAR active remote sensing in measuring vertical profiles of aerosols and clouds for informing air quality applications
- Interpret information within LiDAR curtains to discern cloud phase, aerosol type, and aerosol plume altitude for a given scene
- Recognize the strengths and limitations of LiDAR observations
- Find LiDAR images and data for a particular time period and location using NASA Earthdata and mission websites
To Register: https://go.nasa.gov/4jIlOwr
Audience: Air quality managers, air quality modelers and forecasters, commercial aviation, hazardous plume monitoring and forecasting (e.g., smoke, dust, volcanic ash), researchers, and academia.
Course Format: Two 1.5-hour parts including Q&A. An identical session for each part will be offered at two different times of day (11:00-12:30 and 14:00-15:30 EDT [UTC-4]).
Statistics: Posted by ARSET - sarah.cutshall — Fri May 09, 2025 10:47 am America/New_York