EGU General Assembly

Li, N., Pfeifer, N., Zotta, R. M., Dostalova, A., & Hollaus, M. (2022). Exploration of space-borne LiDAR data for forest parameter retrieval for Alpine regions (No. EGU22-9341). Copernicus Meetings.

Shendryk, Y. (2022). Fusing GEDI, Sentinel-1, Sentinel-2, and elevation data for seasonal forest biomass mapping across Australia, EGU General Assembly 2022, Vienna, Austria, EGU22-2077

International Conference for Advancement in Technology (ICONAT)

Raj, A., & Baker, A. C. (2022, January). Comparing Computer Resource Usage Through Interpolating Global Ecosystem Dynamics Investigation Light Detection and Ranging Waveform Data. In 2022 International Conference for Advancement in Technology (ICONAT) (pp. 1-6). IEEE.

EGU General Assembly

Liang, M., Duncanson, L., & Sedano, F. (2021, April). Quantifying Local-scale Forest Degradation Intensity from Charcoal Production Using a Fusion of GEDI and Landsat Data. In EGU General Assembly Conference Abstracts (pp. EGU21-3147).

AGU Fall Meeting, New Orleans, LA & Virtual

Keller, M. M., Goetz, S. J., Longo, M., & Duncanson, L. (2021, December). NASA’s Global Ecosystem Dynamics Investigation (GEDI) Lidar Mission: Carbon Cycle, Biodiversity, and Topography I Oral. In AGU Fall Meeting 2021. AGU.

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

Duncanson, L., Neuenschwander, A., Silva, C. A., Montesano, P., Guenther, E., Thomas, N., … & Armston, J. (2021, July). Forest Aboveground Biomass Estimation with GEDI and ICESat-2 in Boreal Forests. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 670-672). IEEE.

Carcarra-Bes, V., Pardini, M., Choi, C., Guliaev, R., & Papathanassiou, K. P. (2021, July). Tandem-X and Gedi Data Fusion for a Continuous Forest Height Mapping at Large Scales. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 796-799). IEEE.

Potapov, P., Li, X., Hernandez-Serna, A., Turubanova, S., Tyukavina, A., Hansen, M. C., … & Nguyen, Q. H. (2021, July). Tropical Forest Canopy Structure and Change Assessment Using Landsat, GEDI, and Airborne Lidar Data. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 666-669). IEEE.

SilviLaser, Vienna, Austria

Armston, J., Dubayah, R., Healey, S., Kellner, J., Duncanson, L. I., Hofton, M., Blair, J. B., Bruening, J., Tang, H., & Luthcke, S. (2021). NASA’s Global Ecosystem Dynamics Investigation (GEDI): Progress towards global mapping of aboveground biomass. In Proceedings of the SilviLaser Conference 2021 (pp. 334–336). https://doi.org/10.34726/wim.2027

Schleich, A., Soma, M., Durrieu, S., Véga, C., Renaud, J. P., & Bouriaud, O. (2021). Improving GEDI Footprint Geolocation using a High Resolution Digital Terrain Model. In Proceedings of the SilviLaser Conference 2021 (pp. 179-181).

Zhang, S., Véga, C., Bouriaud, O., Durrieu, S., & Renaud, J.-P. (2021). Unit-level Small Area Estimation of Forest Inventory with GEDI Auxiliary Information. In Proceedings of the SilviLaser Conference 2021 (pp. 136–138).Doctoral Conference on Computing, Electrical and Industrial Systems

Pereira-Pires, J. E., Mora, A., Aubard, V., Silva, J., & Fonseca, J. M. (2021, July). Assessment of Sentinel-2 Spectral Features to Estimate Forest Height with the New GEDI Data. In Doctoral Conference on Computing, Electrical and Industrial Systems (pp. 123-131). Springer, Cham.

2021 Photonics & Electromagnetics Research Symposium (PIERS)

Zhang, Z., Jin, S., Guo, X., & Bo, Y. (2021, November). Water Level Variation in Qinghai Lake from Global Ecosystem Dynamics Investigation (GEDI) Altimetry Data. In 2021 Photonics & Electromagnetics Research Symposium (PIERS) (pp. 2248-2253). IEEE.

AGU Fall Meeting, Virtual

A. Hansen, P. Burns J. Ervin, O. Venter, S. Goetz, J. Watson, M. Hansen, P. Jantz, A. Virnig, C. Supples, K. Barnett, R. Pillay, S. Atkinson, S. Rodríguez-Buritica, D. Armenteras. A policy-driven framework for conserving the best of Earth’s remaining moist tropical forests. AGUFM, 2020, B072-02.

C. Hakkenberg, S. J. Goetz. Scale Dependence in the Relationship between Forest Structural Diversity and Vascular Plant Diversity across Ecoclimatic Gradients. AGUFM, 2020, B071-02.

Jose Fagua, Patrick Jantz, Patrick Burns and Scott J Goetz. Exploring the potential of GEDI fusion with multi-sensor imagery for mapping the canopy height of diverse tropical forests of Colombia. AGUFM, 2020, B029-10.

Hao Tang, John David Armston, James Bryan Blair, Michelle A Hofton, Scott B Luthcke, Laura Duncanson, James R Kellner, Lei Ma, George C Hurtt, Scott J Goetz and Ralph Dubayah. Integrating GEDI, ICESat-1 and -2 to Characterize Vegetation Structure Dynamics: DOs and DON’Ts. AGUFM, 2020, B29-06.

Patrick Jantz, Jose Fagua, Susana Rodríguez-Buriticá, Maria Cecilia Londoño, Patrick Burns and Scott J Goetz. Mapping Vegetation Structure Gradients in Colombia With Spaceborne Lidar. AGUFM, B061-0014.

Thomas, T., C., S.B. Luthcke, D.D. Rowlands, J.B. Nicholas, T.A. Pennington, GEDI Precision Positioning Performance, 2020 Fall AGU, B021-003, 2020.

Carlos E. Silva, John Armston, Steve Hancock, Sarah Story, Michelle Hofton, Hao Tang, David Minor, James B. Blair, Ralph O. Dubayah. Evaluating GEDI Geolocation Uncertainty against Airborne Lidar: Implications for Footprint-level Analyses. AGUFM, 2020.

Wenlu Qi, John Armston, Ralph Dubayah, Victor Cazcarra-Bes, Koastas Papathanassiou, Matteo Pardini, Lola Fatoyinbo. Pantropical Forest Height and Structure Estimation from GEDI and TanDEM-X Data Fusion. AGUFM, 2020.

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

Ni-Meister, W., & Lee, S. (2020). Allometric Relationships Between Above-Ground Biomass and Lidar Full Waveform Measurements-Potential Applications for Global Ecosystem Dynamics Investigation (GEDI) Mission. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4999-5002). IEEE.

Ni-Meister, W., & Lee, S. (2020). Allometric Relationships Between Above-Ground Biomass and Lidar Full Waveform Measurements-Potential Applications for Global Ecosystem Dynamics Investigation (GEDI) Mission. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4999-5002). IEEE.

33rd International Technical Meeting of the Satellite Division of the Institute of Navidation

Klein, Viliam, Axelrad, Penina (2020). Simulation and Analysis of GPS Multipath for the GEDI Experiment Onboard the International Space Station. Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020) pp. 1338-1371.

AGU Fall Meeting, San Francisco, California

Ralph Dubayah (2019). The Global Ecosystem Dynamics Investigation: Mission Status and First Results. AGUFM. B31A-04.

Qi, W., Armston, J. D., Tang, H., & Dubayah, R (2019). Tropical forest structure and biomass mapping from fusion of GEDI lidar data and TanDEM-X InSAR data. AGUFM. B11E-2369.

Qi, W., Armston, J. D.,  Fatoyinbo T. , Cazcarra-Bes, V., Papathanassiou, K., Pardini M. & Dubayah, R (2019). Fusing GEDI waveforms with spaceborne SAR data for improved forest structure estimation. AGUFM. B029-08.

Patrick J Burns, Matthew L Clark, Leo A Salas, Steven Hancock, Patrick Jantz and Scott J Goetz (2019). Incorporating canopy structure from simulated GEDI lidar into bird species distribution models. AGUFM, B11E-2367.

Patterson, Paul L.; Healey, Sean P.; Stahl, Goran; Saarela, Svetlana; Holm, Soren; Andersen, Hans-Erik; Dubayah, Ralph O.; Duncanson, Laura; Hancock, Steven; Armston, John; Kellner, James R.; Cohen, Warren B.; Yang, Zhiqiang. (2019). Statistical properties of hybrid estimators proposed for GEDI – NASA’s global ecosystem dynamics investigation. Environmental Research Letters. 14: 065007.

Chris Doughty, Mike Harfoot, Patrick Jantz, Scott J Goetz and Patrick J Burns (2019). Adding space-based vegetation structure measurements to a global ecosystem model to simulate tropical forest animal communities and their role in ecosystem function. AGUFM, 2019, B22A-04.

Matthew L Clark, Leonard Salas, Scott J Goetz, Patrick J Burns, Steven Hancock and Shawn Newsam (2019). Monitoring avian diversity with bioacoustics analysis, remote sensing and species distribution modeling. AGUFM, 2019, IN51E-0681.

IEEE International Geoscience and Remote Sensing Symposium

Choi, C., Pardini, M., & Papathanassiou, K. (2019, July). A structure-based framework for the combination of GEDI and Tandem-X measurements over forest scenarios. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 4488-4490). IEEE.

Lee, S. K., Fatoyinbo, T., Marselis, S. M., Qi, W., Hancock, S., Armston, J., & Dubayah, R. (2019, July). Spaceborne data fusion for large-scale forest parameter estimation: GEDI LiDAR & Tandem-X INSAR missions. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 4491-4494). IEEE.

EGU, Vienna, Austria

Duncanson, L., Armston, J., Fatoyinbo,L., Simard, M., Thomas, N., Neuenschwander, A., Hancock, S., Hofton, M., Marselis, S., Kellner, J., Saatchi, S., Dubayah, R. (2018) Airborne Lidar for calibration and validation of spaceborne forest biomass and height products: Examples from NASA’s Carbon Monitoring System, AfriSAR and GEDI Missions. EGU April 8-13, 2018, Vienna, Austria. EGU2018-11923.

cience Team Meeting Summary

Marselis, S.M., Armston, J.D., Dubyah, R. (2018). Summary of the Fourth GEDI Science Definition Team Meeting. The Earth Observer. March – April 2018. Volume 30, Issue 2.

IEEE International Geoscience and Remote Sensing Symposium

Lee, S. K., Fatoyinbo, T., Qi, W., Hancock, S., Armston, J., & Dubayah, R. (2018, July). GEDI and TanDEM-X fusion for 3D forest structure parameter retrieval. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 380-382). IEEE.

AGU Fall Meeting, New Orleans, Louisiana

Dubayah, R. and the GEDI Science Team. (2017). The GEDI strategy for improved mapping of forest biomass and structure. AGU Fall Meeting 2017, New Orleans, LA, USA. B11H-06.

Duncanson, L., Simard, M., Thomas, N., Neuenschwander, A., Hancock, S., Armston, J., Dubayah, R., Hofton, M.A., Huang, W., Tang, H., Marselis, S.M., Fatoyinbo, T. (2017). Fusion of GEDI, ICESAT2 & NISAR data for above ground biomass mapping in Sonoma County, California. AGU Fall Meeting 2017, New Orleans, LA, USA. B33F-06.

Hancock, S., Armston, J., Tang, H., Patterson, P.L., Healey, S.P., Marselis, S., Duncanson, L., Hofton, M.A., Kellner, J.R., Luthcke, S.B., Sun, X., Blair, J.B., Dubayah, R. (2017). The GEDI Performance Tool. AGU Fall Meeting 2017, New Orleans, LA, USA. B13A-1753.

Kellner, J.R., Armston, J., Blair, J.B., Duncanson, L., Hancock, S., Hofton, M.A., Luthcke, S.B., Marselis, S., Tang, H., Dubyaha, R. (2017). Algorithm theoretical basis for GEDI level-4A footprint aboveground biomass density. AGU Fall Meeting 2017, New Orleans, LA, USA. B33F-03.

Marselis, S., Tang, H., Blair, J.B., Hofton, M.A., Armston, J., Dubayah, R. (2017). Characterizing Exterior and Interior Tropical Forest Structure Variability with Full-Waveform Airborne LIDAR Data in Lopé, Gabon. AGU Fall Meeting 2017, New Orleans, LA, USA. B21B-1961.

Patterson, P.L., Healey, S.P., Ståhl, G., Saarela, S., Holm, S., Dubayah, R., Hancock, S. (2017). Statistical Properties for hybrid estimators of biomass that use GEDI waveform data. AGU Fall Meeting 2017, New Orleans, LA, USA. B13A-1755.

Qi, W., Hancock, S., Armston, J., Marselis, S., Dubayah, R. (2017). Forest biomass mapping from fusion of GEDI lidar data and TanDEM-X InSAR data. AGU Fall Meeting 2017, New Orleans, LA, USA. B13A-1752.

Science Team Meeting Summary

Marselis, S.M., Armston, J.D., Blair, J.B., Dubayah, R. (2017). Summary of the Third GEDI Science Definition Team Meeting. The Earth Observer. August – September 2017. Volume 29, Issue 4.[/expandsub1]

Silvilaser, Blacksburg, VA

Armston, J., Duncanson, L., Kellner, J., Marselis, S., Hancock, S., Tang, H., Hofton, M., Blair, B., Fatoyinbo, L., Dubayah, R. (2017). Calibration and validation of above ground biomass products from LVIS/GEDI: Results from the AfriSAR campaign. Silvilaser 2017, Blacksburg, Virginia, USA.

Duncanson, L., Armston, J., Hancock, S., Kellner, J., Marselis, S., Tang, H., Hofton, M., Goetz, S., Healey, S., Dubayah, R. (2017). Development of prediction strata for GEDI global above ground biomass modeling. Silvilaser 2017, Blacksburg, Virginia, USA.

Hancock, S., Armston, J., Tang, H., Duncanson, L., Hofton, M., Blair, J.B., Disney, M., Marselis, S., Kellner, J.R., Fatoyinbo, L., Dubayah, R. (2017). Bridging the gap between spaceborne, airborne and terrestrial lidar: The GEDI simulator. Silvilaser 2017, Blacksburg, Virginia, USA.

Marselis, S.M., Armston, J., Fitzpatrick, M., Dubayah, R. (2017). Characterization of vegetation structure at the tropical forest-savanna ecotone in Gabon. Silvilaser 2017, Blacksburg, Virginia, USA. (poster presentation).

Tang, H., Armston, J., Hancock, S., Marselis, S., Duncanson, L., Kellner, J., Jantz, P., Goetz, S., Hofton, M., Blair, B., Fatoyinbo, L., Dubayah, R. (2017). Pre-launch testing of GEDI canopy cover and vertical profile data product algorithms in African tropical rainforests. Silvilaser 2017, Blacksburg, Virginia, USA.[/expandsub1]

[expandsub1 title=”Other”]Duncanson, L, Armston, J., Hancock, S., Dubayah, R & the GEDI Science Team. (2017). Global biomass modeling with GEDI waveform Lidar. Invited special session presentation at the Brazilian Remote Sensing Symposium, Santos, Brazil.

AGU Fall Meeting, San Francisco, California

Armston, J., Tang, H., Hancock, S., Hofton, M.A., Dubayah, R., Duncanson, L., Fatoyinbo, L., Blair, J.B., Disney, M., (2016), Integration of ALS and TLS for calibration and validation of LAI profiles from large footprint lidar (Invited). AGU fall meeting 2016, San Francisco, USA. B54B-04.

Dubayah, R. (2016). The Global Ecosystem Dynamics Investigation: Current Status. AGU fall meeting 2016, San Francisco, USA. B34A-03.

Duncanson, L., Hancock, S., Marselis, S.M., Armston, J., Kellner, J.R., Tang, H., Fatoyinbo, L., Dubayah, R., (2016). Aboveground Biomass Estimation from Simulated GEDI Waveforms: First Results from Africa. AGU fall meeting 2016, San Francisco, USA. B44C-06.

Fisher, J.B., Stavros, E.N., Pavlick, R., Hook, S.J., Eldering, A., Dubayah, R., Schimel, D., (2016). The International Space Station as a Key Platform to Synergize Observations of Fundamental Ecosystem Properties (Invited). AGU fall meeting 2016, San Francisco, USA. B32C-01.

Goetz, S., Dubayah, R., (2016). The Potential of Spaceborne Remote Sensing for Deriving Canopy Structure Metrics and Informing Biodiversity and Habitat Mapping (Invited). AGU fall meeting 2016, San Francisco, USA. B34A-01.

Hancock, S., Tang, H., Blair, J.B., Dubayah, R., Armston, J., Sun, X., Hofton, M.A., Duncanson, L., Kellner, J.R., Marselis, S.M., (2016). Assessing the performance of the GEDI spaceborne lidar instrument using a waveform lidar simulator. AGU fall meeting 2016, San Francisco, USA. B31E-0524.

Kellner, J., Blair, J.B., Duncanson, L., Hancock, S., Hofton, M.A., Hughes, M., Marselis, S.M., Armston, J., Sudderth, E.B., Tang, H., Weiner, L, Dubayah, R., (2016). Associations between aboveground forest biomass and waveform LiDAR metrics: implications for modeling footprint-level biomass using Global Ecosystem Dynamics Investigation data. AGU fall meeting 2016, San Francisco, USA. B34A-07.

Marselis, S.M., Armston, J.D., Dubayah, R., Kelner, J., Duncanson, L., Hancock, S., Tang, H. (2016). The impact of ground plot edge-effects on empirical relationships between footprint-level biomass and GEDI waveform lidar metrics (poster). AGU fall meeting 2016, San Francisco, USA. B31E-0521.

Patterson, P.L., Healey, S.P., Ståhl, G., Holm, S., Magnusson, S., Dubayah, R., Hancock, S., Duncanson, L., Andersen, H., (2016). Simulation Study Based Analysis of the Statistical Properties of Biomass Estimators that use a Sample of GEDI Lidar Measurements. AGU fall meeting 2016, San Francisco, USA. B31E-0523.

Qi, W., Dubayah, R., Lee, S., (2016). Improved TanDEM-X forest height estimation assisted by simulated GEDI lidar canopy height. AGU fall meeting 2016, San Francisco, USA. B51C-0419

Tang, H., Song, X., Armston, J., Hancock, S., Duncanson, L., Zhao, F.A., Schaaf, C., Strahler, A.H., Huang, C., Hansen, M., Goetz, S.J., Dubayah, R., (2016). An Assessment of Differences in Tree Cover Measurements between Landsat and Lidar-derived Products. AGU fall meeting 2016, San Francisco, USA. B31E-0526.

Science Team Meeting Summary

Marselis, S.M., Armston, J.D., Dubayah, R. (2016). Summary of the Second GEDI Science Team Meeting. The Earth Observer. November – December 2016. Volume 28, Issue 6.

ForestSAT, Santiago, Chile

Duncanson, L., Dubayah, R., Armston, J., Hancock, S., Kellner, J., Marselis, S. (2016) GEDI Aboveground biomass model development: First Results (presentation). ForestSAT 2016, Santiago, Chile.

AGU Fall Meeting, San Francisco, CA

Dubayah, R., (2015). Crowd-Sourced Calibration: The GEDI Strategy for Empirical Biomass Estimation Using Spaceborne Lidar (Invited).  AGU fall meeting 2015, San Francisco, USA. B51I-02.

Kellner, J., Dubayah, R., Luthcke, S.B., Hurtt, G.C., Swatantran, A., Goetz, S.J., Duncanson, L., Hofton, M.A., Blair, J.B., Huang, C., Hansen, M., Fatoyinbo, L., Tang, H., Healey, S.P., Marselis, S., Hancock, S., Gost, A., (2015). The conceptual and scientific motivation for the Global Ecosystem Dynamics Investigation (Invited). AGU fall meeting 2015, San Francisco, USA. B12C-05.

Other

Dubayah, R. (2015) Remote sensing of ecosystem structure and Dynamics: GLobal Ecosystem Dynamics Investigation (GEDI lidar). Keck Institute for Space Studies/Caltech (October 5,2015).

Patterson, P.L, Healey, S., (2015). Global ecosystem dynamics investigation (GEDI) LiDAR sampling strategy. New Directions in Inventory Techniques & Applications Forest Inventory & Analysis (FIA) Symposium 2015. PNW-GTR-931.