Field and Aircraft Observations in Support of DESDynI
Ralph
Dubayah, Univ of MD, dubayah@geog.umd.edu
(Presenting)
Kathleen
Bergen, Univ of MI, kbergen@umich.edu
Bryan
Blair, NASA, james.b.blair@nasa.gov
Bruce
Cook, NASA, bruce.cook@nasa.gov
Peter
Griffith, Sigma Space, peter.c.griffith@nasa.gov
Forrest
Hall, UMBC, forrest.g.hall@nasa.gov
Megan
McGroddy, Sigma Space, megan.mcgroddy@sigmaspace.com
Paul
Montesano, Sigma Space, paul.m.montesano@nasa.gov
Amy
Morrell, Sigma Space, amy.l.morrell@nasa.gov
Ross
Nelson, NASA, ross.f.nelson@nasa.gov
Wenge
Ni-Meister, Hunter College, wenge.ni-meister@hunter.cuny.edu>
Michael
O'Connell, Univ of MD, mjoconn@umd.edu
Jon
Ranson, NASA, kenneth.j.ranson@nasa.gov
Chelsea
Robinson, UCLA, cmrobins@ucla.edu
Jeremy
Rubio, CESBIO, Toulouse, France, jeremy.rubio-1@nasa.gov
Sassan
Saatchi, NASA, sasan.s.saatchi@jpl.nasa.gov
Marc
Simard, NASA, marc.simard@jpl.nasa.gov
Paul
Siqueira, Univ of MA, siqueira@ecs.umass.edu
Alan
Strahler, BU, alan@bu.edu
Guoqing
Sue, Univ of MD, guoqing.sun-1@nasa.gov
Anuradha
Swatantran, Univ of MD, aswatantran@gmail.com
DESDynI (Deformation, Ecosystem Structure and Dynamics of Ice) is a NASA satellite mission that will provide global estimates of aboveground biomass and ecosystem structure using LiDAR (Light Detection and Ranging) and L-band radar. LiDAR waveforms and radar backscatter coefficients at different wave polarizations are sensitive to forest height, structure, and composition, and can be used to make quantitative estimates of standing biomass/carbon stocks and ecosystem structure for biodiversity and habitat assessment. Field and aircraft observations in support of DESDynI for terrestrial ecosystem science have been collected at the La Selva Biological Station in Costa Rica, in the Sierra Nevada and New England regions of the USA. DESDynI Airborne simulators include the Laser Vegetation Imaging Sensor (LVIS) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), which provide full waveform LiDAR returns and quad polarization L-band radar data, respectively. Ground-based data include forest inventories; leaf reflectance spectrum; and vertical/horizontal distribution of canopy elements by visual observation, hemispheric photography, and ground-based LiDAR. This presentation provides a description of these measurements and ongoing research studies, as well as links to the data and key science contacts.
Presentation Type: Poster
Poster Session: Field Campaigns
NASA TE Funded Awards Represented:
Dubayah, Ralph
Integrating Vegetation 3D Structure and Ecological modeling for Continental Scale Assessments of Biodiversity, Biomass and Disturbance
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
Ranson, Jon
Amount, Spatial Distribution, and Statistical Uncertainty of Aboveground Carbon Stocks in the Circumpolar Boreal Forest
Saatchi, Sassan
Detecting Changes of Forest Biomass from Fusion of Radar and Lidar: Developing DESDynl measurement requirements
Simard, Marc
3D Vegetation Structure using L-band InSAR and Lidar
Siqueira, Paul
A Segmentation Approach for Combining RaDAR Backscater, InSAR and LiDAR Measurements to Determine Vegetation 3D Structure and Biomass from Space
Strahler, Alan
Retrieval of Vegetation Structure and Carbon Balance Parameters Using Ground-Based Lidar and Scaling to Airborne and Spaceborne Lidar Sensors
Sun, Guoqing
Model Inversion of Multiple-Sensor Data for Forest Biophysical Parameters Retrieval
Sun, Guoqing
Data Fusion Algorithms for Forest Biomass Mapping From Lidar and SAR Data