The Global Ecosystem Dynamics Investigation (GEDI) sounds like something out of a Star Wars story. As a matter of fact, the groundbreaking instrument has a lot in common with the popular movie series. First, it uses laser light, though not quite like the famous “lightsaber.” The GEDI instrument uses 3 lasers (2 full power and 1 coverage) to create 3-dimensional maps of the Earth’s forests. Similarly, much like the blaster used in the science fiction series, the instrument works by firing a rapid laser pulse toward the surface of the Earth and then calculating the amount of time that laser pulse takes to return. The GEDI instrument, which operates between 51.6° S and 51.6° N latitude, collects data that can be used in a variety of applications, including forest management, habitat quality and biodiversity, carbon cycling, topography and surface deformation, water resources, weather prediction, and more. The sensor was specifically designed to answer several questions about the Earth. One of those questions aims to identify the structure and variety of forest that is best suited for at-risk species of animals. The calculation of plant area volume density (PAVD) can help researchers better understand the disbursement of various tree species and how they relate to bird ecology. Now that GEDI data are available at no cost from NASA’s LP DAAC, researchers can start using the data for their own studies.
A study by Burns and others (2020) used simulated GEDI data to better understand bird ecology in the U.S. state of California. According to Burns, airborne lidar data have been used to examine relationships between forest canopy structure and faunal diversity but provided researchers with limited spatial coverage. GEDI’s latitudinal coverage will permit these types of analyses at larger spatial extents, over most of the Earth’s forests, and most importantly in areas where canopy structure is complex or poorly understood. Burns’ team examined the impact that GEDI-derived canopy structure variables, such as PAVD, have on the performance of bird species distribution models (SDMs). The study simulated GEDI waveforms for a two-year period. In addition to these variables, the authors also included phenology, climate, and other auxiliary variables to predict the probability of the occurrence of 25 common bird species in Sonoma County, California. Seven individual machine learning models were then used to make distribution predictions for each species. The canopy structure variables were, on average at the finest resolution of 250 meters (m), the second most important group of predictor variables after the climate variables.
Bird species occurrence model in Sonoma County, California, using simulated GEDI data. (Courtesy of Burns et al. )
Bird images courtesy of:
Spotted Towhee: Joshua Tree National Park / flickr.com / Public Domain, Oak Titmouse: Alan Schmierer / flickr.com / Public Domain, California Quail: Alan Schmierer / flick.com / Public Domain, Lesser Goldfinch: Petrified Forest National Park Service / flickr.com / Public Domain, Song Sparrow: US Fish and Wildlife Service Midwest Region / flickr.com / Public Domain, Brewer’s Blackbird: Alan Schmierer / flickr.com / Public Domain
Results from the study proved that GEDI canopy structure variables were the most successful at predicting bird occurrence probability in conifer forest habitat. It was also found that finer scale models more frequently performed better than coarser scale models, and the importance of canopy structure variables was greater at finer spatial resolutions. Overall, GEDI canopy structure variables improved SDM performance for at least one spatial resolution for 19 of 25 species and thus show promise for improving models of bird species occurrence and mapping potential habitat.
The Land Processes Distributed Active Archive Center (LP DAAC) archives and distributes all GEDI level 1 and 2 data, which includes geolocated waveforms, elevation and height metrics, and canopy cover and vertical profile metrics. The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) will house the level 3 and 4 GEDI products, which include gridded level 2 metrics, footprint level above ground biomass, and gridded above ground biomass density products.
Material written by Jared Beck1,2 and Patrick Burns3
1 KBR, Inc., contractor to the U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, USA. Work performed under USGS contract G15PC00012 for LP DAAC2.
2 LP DAAC work performed under NASA contract NNG14HH33I.
3 Northern Arizona University, S. San Francisco Street, Flagstaff, AZ 86011.
Burns, P.J., Clark, M., Salas, L., Hancock, S., Leland, D., Jantz, P., Dubayah, R., and Goetz, S.J. Incorporating canopy structure from simulated GEDI lidar into bird species distribution models: Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab80ee
Jorgenson, A., 2018, NASA’s GEDI mission will track carbon emissions in Earth’s forests: Astronomy, December 17, 2018, accessed January 21, 2020, at http://www.astronomy.com/news/2018/12/nasas-gedi-mission-will-track-carbon-emissions-in-earths-forests.
Popkin, G., 2018, Space laser will map Earth’s forests in 3D, spotting habitat for at-risk species: Science Magazine, December 5, 2018, accessed January 21, 2020, at https://doi.org/10.1126/science.aaw2876.
Shepherd, M., 2019, Star Wars has lightsabers – NASA has GEDI for our forests and climate: Forbes Magazine, January 26, 2019, accessed January 21, 2020, at https://www.forbes.com/sites/marshallshepherd/2019/01/26/star-wars-has-lightsabers-nasa-has-gedi-for-our-forests-and-climate/#1401d1ab3b5e.
Top image: Allan Hack / flickr.com / CC BY-SA 2.0