G-LiHT: Multi-Sensor Airborne Image Data from Denali to the Yucatan

Bruce Cook, NASA GSFC, bruce.cook@nasa.gov (Presenter)
Lawrence A Corp, SSAI, lawrence.a.corp@nasa.gov
Douglas Morton, NASA GSFC, douglas.morton@nasa.gov
Joel McCorkel, NASA GSFC, joel.mccorkel@nasa.gov

G-LiHT (NASA Goddard's Lidar, Hyperspectral and Thermal) is a portable, airborne imaging system that simultaneously maps the composition, structure, and function of terrestrial ecosystems using: 1) small footprint scanning lidar to provide 3D information about the vertical and horizontal distribution of foliage and other canopy elements; 2) a Visible/Near-Infrared (VNIR) imaging spectrometer characterize species composition and variations in biophysical variables (e.g., photosynthetic pigments, nutrient and water content); and 3) a thermal camera to measure irradiance temperature and detect heat and moisture stress. G-LiHT enables data fusion studies by providing coincident data in time and space, and provides fine-scale (1 m) observations over large areas that are needed in many ecosystem studies. Coincident data collection and G-LiHT’s single-solution GPS-INS avoids multi-dimensional data effects that are introduced when data is collected at different time and observational scales. Rigorous radiometric calibration traceable to National Institute of Standards and Technology standards and boresight alignment are key features of the G-LiHT system, allowing observations to fully exploit the full potential of data fusion and up-scaling to space-based sensors (e.g., Landsat, MODIS, Hyperion). Since 2011, G-LiHT has been used to acquire more than 2 million ha of data in Alaska, CONUS, and Mexico for a broad range of research projects, including forest biomass and carbon inventories; forest health and insect damage; characterization of pseudo-invariant calibration sites (reflectance, BRDF); intercalibration of Earth observing satellites; ICESat-2 algorithm development; validation of satellite products (e.g., forest cover, point clouds from stereo images); 3D radiative transfer modeling; forest productivity and water use efficiency; coastal ecosystem ecology; and detection of natural and human disturbances. This presentation will provide information about these campaigns, instrument specifications, higher-level data products, and data distribution.

Presentation: 2015_Poster_Cook_134_169.pdf (18636k)

Presentation Type:  Poster

Session:  Carbon Monitoring System (CMS) Posters   (Mon 1:30 PM)

Associated Project(s): 

• Cook, Bruce: Improving Forest Biomass Mapping Accuracy with Optical-LiDAR Data and Hierarchical Bayesian Spatial Models ...details
• Cook, Bruce: Metadata collection from the 2009 field campaign to estimate forest biophysical parameters in support of the DESDynI mission ...details
• Cook, Bruce: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Dubayah, Ralph: Metadata collection from the 2009 field campaign to estimate forest biophysical parameters in support of the DESDynI mission ...details
• Ganguly, Sangram: Reducing Uncertainties in Satellite-Derived Forest Aboveground Biomass Estimates Using a High Resolution Forest Cover Map ...details
• Griffith, Peter: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Hall, Forrest: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Leidner, Allison: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Masek, Jeff: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Morton, Doug: A Joint USFS-NASA Pilot Project to Estimate Forest Carbon Stocks in Interior Alaska by Integrating Field, Airborne and Satellite Data ...details
• Morton, Doug: Dynamics of Amazon Forest Disturbance and Recovery from Multi-temporal Airborne LiDAR ...details
• Morton, Doug: Long-Term Carbon Consequences of Amazon Forest Degradation ...details
• Nelson, Ross: A Lidar-Radar-Optical Data Fusion Approach for Estimating the Aboveground Carbon Stocks of North American Forests: Means and Uncertainties at Regional to Continental Scales ...details
• Nelson, Ross: Using the ICESAT-GLAS LiDAR to Estimate the Amount, Spatial Distribution, and Statistical Uncertainty of Aboveground Carbon Stocks of the North American Boreal Forest ...details
• Nemani, Rama: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Ranson, Jon: MULTISENSOR AIRBORNE AND GROUND STUDIES OF SIBERIAN ARCTIC FORESTS ...details
• Saatchi, Sassan: Metadata collection from the 2009 field campaign to estimate forest biophysical parameters in support of the DESDynI mission ...details
• Saatchi, Sassan: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details
• Smithwick, Erica: Influence of Disturbance and Seasonality on Regional Carbon Flux Upscaling ...details
• Sun, Guoqing: Data Fusion Algorithms for Forest Biomass Mapping From Lidar and SAR Data ...details
• Sun, Guoqing: Proposal to be a member of the Science Definition Team for Carbon Monitoring System (CMS) ...details
• Tucker, Compton: NASA CMS Pilot Projects: Biomass and Carbon Storage ...details

Poster Location ID: 134