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Publications Citing Global Ecosystem Dynamics Investigation (GEDI)

The following 47 publications cited the Global Ecosystem Dynamics Investigation (GEDI) project.

YearCitationDataset or Project
2022Duncanson, L., J.R. Kellner, J. Armston, R. Dubayah, D.M. Minor, S. Hancock, S.P. Healey, P.L. Patterson, S. Saarela, S. Marselis, C.E. Silva, J. Bruening, S.J. Goetz, H. Tang, M. Hofton, B. Blair, S. Luthcke, L. Fatoyinbo, K. Abernethy, A. Alonso, H.E. Andersen, P. Aplin, T.R. Baker, N. Barbier, J.F. Bastin, P. Biber, P. Boeckx, J. Bogaert, L. Boschetti, P.B. Boucher, D.S. Boyd, D.F.R.P. Burslem, S. Calvo-Rodriguez, J. Chave, R.L. Chazdon, D.B. Clark, D.A. Clark, W.B. Cohen, D.A. Coomes, P. Corona, K.C. Cushman, M.E.J. Cutler, J.W. Dalling, M. Dalponte, J. Dash, S. de-Miguel, S. Deng, P.W. Ellis, B. Erasmus, P.A. Fekety, A. Fernandez-Landa, A. Ferraz, R. Fischer, A.G. Fisher, A. Garcia-Abril, T. Gobakken, J.M. Hacker, M. Heurich, R.A. Hill, C. Hopkinson, H. Huang, S.P. Hubbell, A.T. Hudak, A. Huth, B. Imbach, K.J. Jeffery, M. Katoh, E. Kearsley, D. Kenfack, N. Kljun, N. Knapp, K. Kral, M. Krucek, N. Labriere, S.L. Lewis, M. Longo, R.M. Lucas, R. Main, J.A. Manzanera, R.V. Martinez, R. Mathieu, H. Memiaghe, V. Meyer, A.M. Mendoza, A. Monerris, P. Montesano, F. Morsdorf, E. Naesset, L. Naidoo, R. Nilus, M. O'Brien, D.A. Orwig, K. Papathanassiou, G. Parker, C. Philipson, O.L. Phillips, J. Pisek, J.R. Poulsen, H. Pretzsch, C. Rudiger, S. Saatchi, A. Sanchez-Azofeifa, N. Sanchez-Lopez, R. Scholes, C.A. Silva, M. Simard, A. Skidmore, K. Sterenczak, M. Tanase, C. Torresan, R. Valbuena, H. Verbeeck, T. Vrska, K. Wessels, J.C. White, L.J.T. White, E. Zahabu, and C. Zgraggen. 2022. Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment. 270:112845.
2022Fayad, I., N. Baghdadi, and F. Frappart. 2022. Comparative Analysis of GEDI's Elevation Accuracy from the First and Second Data Product Releases over Inland Waterbodies. Remote Sensing. 14(2):340.
2022Lang, N., N. Kalischek, J. Armston, K. Schindler, R. Dubayah, and J.D. Wegner. 2022. Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. Remote Sensing of Environment. 268:112760.
2022Leite, R.V., C.A. Silva, E.N. Broadbent, C.H.d. Amaral, V. Liesenberg, D.R.A.d. Almeida, M. Mohan, S. Godinho, A. Cardil, C. Hamamura, B.L.d. Faria, P.H.S. Brancalion, A. Hirsch, G.E. Marcatti, A.P. Dalla Corte, A.M.A. Zambrano, M.B.T.d. Costa, E.A.T. Matricardi, A.L.d. Silva, L.R.R.Y. Goya, R. Valbuena, B.A.F.d. Mendonca, C.H.L. Silva Junior, L.E.O.C. Aragao, M. Garcia, J. Liang, T. Merrick, A.T. Hudak, J. Xiao, S. Hancock, L. Duncason, M.P. Ferreira, D. Valle, S. Saatchi, and C. Klauberg. 2022. Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data. Remote Sensing of Environment. 268:112764.
2022Liu, X., Y. Su, T. Hu, Q. Yang, B. Liu, Y. Deng, H. Tang, Z. Tang, J. Fang, and Q. Guo. 2022. Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data. Remote Sensing of Environment. 269:112844.
2021Bauer, L., N. Knapp, and R. Fischer. 2021. Mapping Amazon Forest Productivity by Fusing GEDI Lidar Waveforms with an Individual-Based Forest Model. Remote Sensing. 13(22):4540.
2021Chen, H., S.R. Cloude, and J.C. White. 2021. Using GEDI Waveforms for Improved TanDEM-X Forest Height Mapping: A Combined SINC + Legendre Approach. Remote Sensing. 13(15):2882.
2021Di Tommaso, S., S. Wang, and D.B. Lobell. 2021. Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. Environmental Research Letters. 16(12):125002.
2021DiMiceli, C., J. Townshend, M. Carroll, and R. Sohlberg. 2021. Evolution of the representation of global vegetation by vegetation continuous fields. Remote Sensing of Environment. 254:112271.
2021Dorado-Roda, I., A. Pascual, S. Godinho, C. Silva, B. Botequim, P. Rodriguez-Gonzalvez, E. Gonzalez-Ferreiro, and J. Guerra-Hernandez. 2021. Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. Remote Sensing. 13(12):2279.
2021Fayad, I., D. Ienco, N. Baghdadi, R. Gaetano, C.A. Alvares, J.L. Stape, H. Ferraco Scolforo, and G. Le Maire. 2021. A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms. Remote Sensing of Environment. 265:112652.
2021Fayad, I., N. Baghdadi, and J. Riedi. 2021. Quality Assessment of Acquired GEDI Waveforms: Case Study over France, Tunisia and French Guiana. Remote Sensing. 13(16):3144.
2021Fayad, I., N. Baghdadi, C. Alcarde Alvares, J.L. Stape, J.S. Bailly, H.F. Scolforo, I.R. Cegatta, M. Zribi, and G. Le Maire. 2021. Terrain Slope Effect on Forest Height and Wood Volume Estimation from GEDI Data. Remote Sensing. 13(11):2136.
2021Kacic, P., A. Hirner, and E. Da Ponte. 2021. Fusing Sentinel-1 and -2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco. Remote Sensing. 13(24):5105.
2021Potapov, P., X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C.E. Silva, J. Armston, R. Dubayah, J.B. Blair, and M. Hofton. 2021. Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment. 253:112165.
2021Rishmawi, K., C. Huang, and X. Zhan. 2021. Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data. Remote Sensing. 13(3):442.
2021Silva, C.A., L. Duncanson, S. Hancock, A. Neuenschwander, N. Thomas, M. Hofton, L. Fatoyinbo, M. Simard, C.Z. Marshak, J. Armston, S. Lutchke, and R. Dubayah. 2021. Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping. Remote Sensing of Environment. 253:112234.
2021Spracklen, B. and D.V. Spracklen. 2021. Determination of Structural Characteristics of Old-Growth Forest in Ukraine Using Spaceborne LiDAR. Remote Sensing. 13(7):1233.
2021Vittucci, C., L. Guerriero, P. Ferrazzoli, P. Richaume, and Y.H. Kerr. 2021. SMOS L-VOD Retrieved by Level 2 Algorithm and its Correlation With GEDI LIDAR Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:11870-11878.
2021Xiang, J., H. Li, J. Zhao, X. Cai, and P. Li. 2021. Inland water level measurement from spaceborne laser altimetry: Validation and comparison of three missions over the Great Lakes and lower Mississippi River. Journal of Hydrology. 597:126312.
2020Adam, M., M. Urbazaev, C. Dubois, and C. Schmullius. 2020. Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters. Remote Sensing. 12(23):3948.
2020Boucher, P., S. Hancock, D. Orwig, L. Duncanson, J. Armston, H. Tang, K. Krause, B. Cook, I. Paynter, Z. Li, A. Elmes, and C. Schaaf. 2020. Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation. Remote Sensing. 12(8):1304.
2020Duncanson, L., A. Neuenschwander, S. Hancock, N. Thomas, T. Fatoyinbo, M. Simard, C.A. Silva, J. Armston, S.B. Luthcke, M. Hofton, J.R. Kellner, and R. Dubayah. 2020. Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California. Remote Sensing of Environment. 242:111779.
2020Fayad, I., N. Baghdadi, J.S. Bailly, F. Frappart, and M. Zribi. 2020. Analysis of GEDI Elevation Data Accuracy for Inland Waterbodies Altimetry. Remote Sensing. 12(17):2714.
2020Healey, S.P., Z. Yang, N. Gorelick, and S. Ilyushchenko. 2020. Highly Local Model Calibration with a New GEDI LiDAR Asset on Google Earth Engine Reduces Landsat Forest Height Signal Saturation. Remote Sensing. 12(17):2840.
2020Kumar, S., H. Govil, P.K. Srivastava, P.K. Thakur, and S.P.S. Kushwaha. 2020. Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval. Remote Sensing. 12(24):4042.
2020Marselis, S.M., K. Abernethy, A. Alonso, J. Armston, T.R. Baker, J.F. Bastin, J. Bogaert, D.S. Boyd, P. Boeckx, D.F.R.P. Burslem, R. Chazdon, D.B. Clark, D. Coomes, L. Duncanson, S. Hancock, R. Hill, C. Hopkinson, E. Kearsley, J.R. Kellner, D. Kenfack, N. Labriere, S.L. Lewis, D. Minor, H. Memiaghe, A. Monteagudo, R. Nilus, M. O'Brien, O.L. Phillips, J. Poulsen, H. Tang, H. Verbeeck, and R. Dubayah. 2020. Evaluating the potential of full-waveform lidar for mapping pan-tropical tree species richness. Global Ecology and Biogeography. 29(10):1799-1816.
2020Sanchez-Lopez, N., L. Boschetti, A.T. Hudak, S. Hancock, and L.I. Duncanson. 2020. Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study. Remote Sensing. 12(21):3506.
2020Tan, P., J. Zhu, H. Fu, C. Wang, Z. Liu, and C. Zhang. 2020. Sub-Canopy Topography Estimation from TanDEM-X DEM by Fusing ALOS-2 PARSAR-2 InSAR Coherence and GEDI Data. Sensors. 20(24):7304.
2019Fagua, J.C., P. Jantz, S. Rodriguez-Buritica, L. Duncanson, and S.J. Goetz. 2019. Integrating LiDAR, Multispectral and SAR Data to Estimate and Map Canopy Height in Tropical Forests. Remote Sensing. 11(22):2697.
2019Hancock, S., J. Armston, M. Hofton, X. Sun, H. Tang, L.I. Duncanson, J.R. Kellner, and R. Dubayah. 2019. The GEDI Simulator: A Large-Footprint Waveform Lidar Simulator for Calibration and Validation of Spaceborne Missions. Earth and Space Science. 6(2):294-310.
2019Kellner, J.R., J. Armston, M. Birrer, K.C. Cushman, L. Duncanson, C. Eck, C. Falleger, B. Imbach, K. Kral, M. Krucek, J. Trochta, T. Vrska, and C. Zgraggen. 2019. New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar. Surveys in Geophysics. 40(4):959-977.
2019Klein, V. and P. Axelrad. 2019. Advanced multipath modeling and validation for GPS onboard the International Space Station. Navigation. 66(3):559-575.
2019Qi, W., S. Saarela, J. Armston, G. Stahl, and R. Dubayah. 2019. Forest biomass estimation over three distinct forest types using TanDEM-X InSAR data and simulated GEDI lidar data. Remote Sensing of Environment. 232:111283.
2019Qi, W., S.K. Lee, S. Hancock, S. Luthcke, H. Tang, J. Armston, and R. Dubayah. 2019. Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data. Remote Sensing of Environment. 221:621-634.
2019Quegan, S., T. Le Toan, J. Chave, J. Dall, J.F. Exbrayat, D.H.T. Minh, M. Lomas, M.M. D'Alessandro, P. Paillou, K. Papathanassiou, F. Rocca, S. Saatchi, K. Scipal, H. Shugart, T.L. Smallman, M.J. Soja, S. Tebaldini, L. Ulander, L. Villard, and M. Williams. 2019. The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space. Remote Sensing of Environment. 227:44-60.
2019Scarth, P., J. Armston, R. Lucas, and P. Bunting. 2019. A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data. Remote Sensing. 11(2):147.
2019Tang, H., J. Armston, S. Hancock, S. Marselis, S. Goetz, and R. Dubayah. 2019. Characterizing global forest canopy cover distribution using spaceborne lidar. Remote Sensing of Environment. 231:111262.
2019Tian, J., L. Wang, X. Li, D. Yin, H. Gong, S. Nie, C. Shi, R. Zhong, X. Liu, and R. Xu. 2019. Canopy Height Layering Biomass Estimation Model (CHL-BEM) with Full-Waveform LiDAR. Remote Sensing. 11(12):1446.
2018Pereira, L., L. Furtado, E. Novo, S. Sant'Anna, V. Liesenberg, and T. Silva. 2018. Multifrequency and Full-Polarimetric SAR Assessment for Estimating Above Ground Biomass and Leaf Area Index in the Amazon Varzea Wetlands. Remote Sensing. 10(9):1355.
2018Pourshamsi, M., M. Garcia, M. Lavalle, and H. Balzter. 2018. A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(10):3453-3463.
2018Saarela, S., S. Holm, S. Healey, H.E. Andersen, H. Petersson, W. Prentius, P. Patterson, E. Naesset, T. Gregoire, and G. Stahl. 2018. Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data. Remote Sensing. 10(11):1832.
2018Silva, C.A., S. Saatchi, M. Garcia, N. Labriere, C. Klauberg, A. Ferraz, V. Meyer, K.J. Jeffery, K. Abernethy, L. White, K. Zhao, S.L. Lewis, and A.T. Hudak. 2018. Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(10):3512-3526.
2017Mahoney, C. and C. Hopkinson. 2017. Continental Estimates of Canopy Gap Fraction by Active Remote Sensing. Canadian Journal of Remote Sensing. 43(4):345-359.
2017Mountrakis, G. and Y. Li. 2017. A linearly approximated iterative Gaussian decomposition method for waveform LiDAR processing. ISPRS Journal of Photogrammetry and Remote Sensing. 129:200-211.
2016Qi, W. and R.O. Dubayah. 2016. Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure mapping. Remote Sensing of Environment. 187:253-266.
2015Stysley, P.R., D.B. Coyle, R.B. Kay, R. Frederickson, D. Poulios, K. Cory, and G. Clarke. 2015. Long term performance of the High Output Maximum Efficiency Resonator (HOMER) laser for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar. Optics & Laser Technology. 68:67-72.