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Publications Citing Global Ecosystem Dynamics Investigation (GEDI)

The following 69 publications cited the Global Ecosystem Dynamics Investigation (GEDI) project.

YearCitationDataset or Project
2023Bullock, E.L., S.P. Healey, Z. Yang, R. Acosta, H. Villalba, K.P. Insfrán, J.B. Melo, S. Wilson, L. Duncanson, E. Næsset, J. Armston, S. Saarela, G. Ståhl, P.L. Patterson, and R. Dubayah. 2023. Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory. Environmental Research Letters. 18(8):085001.
2023Choi, C., M. Pardini, J. Armston, and K.P. Papathanassiou. 2023. Forest Biomass Mapping Using Continuous InSAR and Discrete Waveform Lidar Measurements: A TanDEM-X/GEDI Test Study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16:7675-7689.
2023Farrant, D.N., D.A. Roberts, C.M. D’Antonio, and A.E. Larsen. 2023. What follows fallow? Assessing revegetation patterns on abandoned sugarcane land in Hawai?i. Agriculture, Ecosystems & Environment. 355:108603.
2023Geremew, T., A. Gonsamo, W. Zewdie, and P. Pellikka. 2023. Extrapolation of canopy height and cover metrics of GEDI LiDAR in tropical montane forest ecosystem. African Geographical Review. 1-17.
2023Hoffrén, R., M.T. Lamelas, J. de la Riva, D. Domingo, A.L. Montealegre, A. García-Martín, and S. Revilla. 2023. Assessing GEDI-NASA system for forest fuels classification using machine learning techniques. International Journal of Applied Earth Observation and Geoinformation. 116:103175.
2023Li, W., W. Guo, M. Pasgaard, Z. Niu, L. Wang, F. Chen, Y. Qin, and J. Svenning. 2023. Human fingerprint on structural density of forests globally. Nature Sustainability. 6(4):368-379.
2023Liang, M., L. Duncanson, J.A. Silva, and F. Sedano. 2023. Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat. Remote Sensing of Environment. 284:113367.
2023May, P., K.S. McConville, G.G. Moisen, J. Bruening, and R. Dubayah. 2023. A spatially varying model for small area estimates of biomass density across the contiguous United States. Remote Sensing of Environment. 286:113420.
2023Padalia, H., A. Prakash, and T. Watham. 2023. Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics. Ecological Informatics. 77:102234.
2023Pascual, A., J. Guerra-Hernández, J. Armston, D.M. Minor, L.I. Duncanson, P.B. May, J.R. Kellner, and R. Dubayah. 2023. Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems. Forest Ecology and Management. 538:120975.
2023Silveira, E.M., V.C. Radeloff, S. Martinuzzi, G.J. Martinez Pastur, J. Bono, N. Politi, L. Lizarraga, L.O. Rivera, L. Ciuffoli, Y.M. Rosas, A.M. Olah, G.I. Gavier-Pizarro, and A.M. Pidgeon. 2023. Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery. Remote Sensing of Environment. 285:113391.
2023Silveira, E.M., V.C. Radeloff, S. Martinuzzi, G.J. Martinez Pastur, J. Bono, N. Politi, L. Lizarraga, L.O. Rivera, L. Ciuffoli, Y.M. Rosas, A.M. Olah, G.I. Gavier-Pizarro, and A.M. Pidgeon. 2023. Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery. Remote Sensing of Environment. 285:113391.
2023V.C. Oliveira, P., X. Zhang, B. Peterson, and J.P. Ometto. 2023. Using simulated GEDI waveforms to evaluate the effects of beam sensitivity and terrain slope on GEDI L2A relative height metrics over the Brazilian Amazon Forest. Science of Remote Sensing. 100083.
2023Wang, X., X. Liu, Y. Wu, R. Chen, and S. Wang. 2023. Dynamic Assessment and Change Analysis of Ecosystem Service Value Based on Physical Assessment Method in Cili County, China. Forests. 14(5):869.
2022Chopping, M., Z. Wang, C. Schaaf, M.A. Bull, and R.R. Duchesne. 2022. Forest aboveground biomass in the southwestern United States from a MISR multi-angle index, 2000–2015. Remote Sensing of Environment. 275:112964.
2022Guo, Y., Y. Lin, W.Y. Chen, J. Ling, Q. Li, J. Michalski, and H. Zhang. 2022. New two-step species-level AGB estimation model applied to urban parks. Ecological Indicators. 145:109694.
2022Labrière, N., S.J. Davies, M.I. Disney, L.I. Duncanson, M. Herold, S.L. Lewis, O.L. Phillips, S. Quegan, S.S. Saatchi, D.G. Schepaschenko, K. Scipal, P. Sist, and J. Chave. 2022. Toward a forest biomass reference measurement system for remote sensing applications. Global Change Biology. 29(3):827-840.
2022Vangi, E., G. D’Amico, S. Francini, and G. Chirici. 2022. GEDI4R: an R package for NASA’s GEDI level 4 A data downloading, processing and visualization. Earth Science Informatics. 16(1):1109-1117.
2022Vangi, E., G. D’Amico, S. Francini, and G. Chirici. 2022. GEDI4R: an R package for NASA’s GEDI level 4 A data downloading, processing and visualization. Earth Science Informatics. 16(1):1109-1117.
2022Zhang, S., Y. Chen, Y. Lu, H. Guo, X. Guo, C. Liu, X. Zhou, and Y. Zhang. 2022. Spatial variability and driving factors of soil multifunctionality in drylands of China. Regional Sustainability. 3(3):223-232.
2022Atmani, F., B. Bookhagen, and T. Smith. 2022. Measuring Vegetation Heights and Their Seasonal Changes in the Western Namibian Savanna Using Spaceborne Lidars. Remote Sensing. 14(12):2928.
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.
2021Kokalj, Ž. and J. Mast. 2021. Space lidar for archaeology? Reanalyzing GEDI data for detection of ancient Maya buildings. Journal of Archaeological Science: Reports. 36:102811.
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.