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Yang, H., Qin, Z., Shu, Q., Xi, L., Xia, C., Wu, Z., … & Duan, D. (2024). Estimation of the Aboveground Carbon Storage of Dendrocalamus giganteus Based on Spaceborne Lidar Co-Kriging. Forests, 15(8), 1440.

Liu, X., Forkel, M., & Kranz, J. (2024). Investigating the Association of Seasonal Dynamics in GEDI Canopy Cover Profiles and Sentinel-1 Backscatter in Temperate Forests. IEEE Geoscience and Remote Sensing Letters.

Cai, Y., Xu, X., Zhu, P., Nie, S., Wang, C., Xiong, Y., & Liu, X. (2024). Unveiling spatiotemporal tree cover patterns in China: The first 30 m annual tree cover mapping from 1985 to 2023. ISPRS Journal of Photogrammetry and Remote Sensing, 216, 240-258.

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Vázquez-Rowe, I., Cucchi, C., Moya, L., Parodi, E., & Kahhat, R. (2024). Applying the multi-dimensional damage assessment (MDDA) methodology to the Cumbre Vieja volcanic eruption in La Palma (Spain). Natural Hazards, 1-32.

Elliott, L., Vogeler, J. C., Holbrook, J. D., Barry, B. R., & Vierling, K. T. (2024). Assessing GEDI data fusions to map woodpecker distributions and biodiversity hotspots. Environmental Research Letters, 19, 094027.

Chazette, M., Chazette, P., Reiter, I. M., Shang, X., Totems, J., Orts, J. P., … & Montes, N. (2024). Assessment of carbon mass in a Mediterranean downy oak ecosystem using airborne lidar and NASA Global Ecosystem Dynamics Investigation (GEDI) data. Biogeosciences, 21(14), 3289-3303.

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Favrichon, S., Dalagnol, R., Ordway, E. M., Medjibe, V., Manfoumbi, F., Obame, C., … & Saatchi, S. (2024). Unveiling spatial variations of high forest live biomass carbon stocks of Gabon using advanced remote sensing techniques. Environmental Research Letters, 19(7), 074038.

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Gao, Y., Yun, T., Chen, B., Lai, H., Wang, X., Wang, G., … & Kou, W. (2024). Improving the accuracy of canopy height mapping in rubber plantations based on stand age, multi-source satellite images, and random forest algorithm. International Journal of Applied Earth Observation and Geoinformation, 131, 103941.

Swarada, B., Pasha, S. V., Manohara, T. N., Suresh, H. S., & Dadhwal, V. K. (2024). Assessing Landslide-Driven Deforestation and Its Ecological Impact in the Western Ghats: A Multi-Source Data Approach. Journal of the Indian Society of Remote Sensing, 1-15.

Van der Sluijs, J., Saiet, E., Fraser, R. H., Kokelj, S. V., & Bakelaar, C. N. (2024). Validation of beyond visual-line-of-sight drone photogrammetry for terrain and canopy height applications. Remote Sensing Applications: Society and Environment, 101266.

Stritih, A., Senf, C., Kuemmerle, T., Munteanu, C., Dzadzamia, L., Stritih, J., … & Seidl, R. (2024). Same, but different: similar states of forest structure in temperate mountain regions of Europe despite different social-ecological forest disturbance regimes. Landscape Ecology, 39(6), 114.

Burns, P., Hakkenberg, C., & Goetz, S. J. (2024). Gridded GEDI Vegetation Structure Metrics and Biomass Density at Multiple Resolutions. ORNL DAAC, Oak Ridge, Tennessee, USA.

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Rajab Pourrahmati, M., le Maire, G., Baghdadi, N., Ferraco Scolforo, H., Alcarde Alvares, C., Stape, J. L., & Fayad, I. (2024). Effects of Eucalyptus plantation characteristics and environmental factors on GEDI waveform metrics. International Journal of Remote Sensing, 45(11), 3737-3763.

Li, W., Guo, W. Y., Pasgaard, M., Niu, Z., Wang, L., Chen, F., … & Svenning, J. C. (2024). Unmanaged naturally regenerating forests approach intact forest canopy structure but are susceptible to climate and human stress. One Earth.

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Wang, Z., Cai, H., & Yang, X. (2024). A new method for mapping vegetation structure parameters in forested areas using GEDI data. Ecological Indicators, 112157.

Campbell, M. J., Eastburn, J. F., Dennison, P. E., Vogeler, J. C., & Stovall, A. E. (2024). Evaluating the performance of airborne and spaceborne lidar for mapping biomass in the United States’ largest dry woodland ecosystem. Remote Sensing of Environment, 308, 114196.

Guerra-Hernández, J., Pereira, J. C., Stovall, A., & Pascual, A. (2024). Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal. Science of Remote Sensing, 100134.

Holcomb, A., Burns, P., Keshav, S. & Coomes, D. A. (2024). Repeat GEDI footprints measure the effects of tropical forest disturbances. Remote Sensing of Environment, 308, 114174.

May, P. B., Dubayah, R. O., Bruening, J. M., & Gaines III, G. C. (2024). Connecting spaceborne lidar with NFI networks: A method for improved estimation of forest structure and biomass. International Journal of Applied Earth Observation and Geoinformation, 129, 103797.

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Bruening, J. M., Dubayah, R. O., Pederson, N., Poulter, B., & Calle, L. (2024). Definition criteria determine the success of old-growth mapping. Ecological Indicators, 159, 111709.

Magruder, L. A., Farrell, S. O., Neuenschwander, A., Duncanson, L., Csatho, B., Kacimi, S., & Fricker, H. A. (2024). Monitoring Earth’s climate variables with satellite laser altimetry. Nature Reviews Earth & Environment. https://doi.org/10.1038/s43017-023-00508-8

Lowe, C. J., McGrath, C. N., Hancock, S., Davenport, I., Todd, S., Hansen, J., … & Macdonald, M. (2024). Spacecraft and optics design considerations for a spaceborne lidar mission with spatially continuous global coverage. Acta Astronautica, 214, 809-816.

Shannon, E. S., Finley, A. O., Hayes, D. J., Noralez, S. N., Weiskittel, A. R., Cook, B. D., & Babcock, C. (2024). Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach. Environmetrics, e2840.

May, P. B., Finley, A. O., & Dubayah, R. O. (2024). A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types. Journal of Agricultural, Biological and Environmental Statistics, 1-24.

Barinas, G., Good, S. P., & Tullos, D. (2024). Continental Scale Assessment of Variation in Floodplain Roughness With Vegetation and Flow Characteristics. Geophysical Research Letters, 51(1), e2023GL105588.

Lahssini, K., Baghdadi, N., Le Maire, G., Dupuy, S., & Fayad, I. (2024). Use of GEDI Signal and Environmental Parameters to Improve Canopy Height Estimation over Tropical Forest Ecosystems in Mayotte Island. Canadian Journal of Remote Sensing, 50(1), 2351004.

Diaz-Kloch, N., & Murray, D. L. (2024). Harmonizing GEDI and LVIS Data for Accurate and Large-Scale Mapping of Foliage Height Diversity. Canadian Journal of Remote Sensing, 50(1), 2341762.

Fayad, I., Ciais, P., Schwartz, M., Wigneron, J. P., Baghdadi, N., de Truchis, A., … & Bazzi, H. (2024). Hy-TeC: a hybrid vision transformer model for high-resolution and large-scale mapping of canopy height. Remote Sensing of Environment, 302, 113945.

Marcus, M. S., Hergoualc’h, K., Coronado, E. N. H., & Gutiérrez-Vélez, V. H. (2024). Spatial distribution of degradation and deforestation of palm swamp peatlands and associated carbon emissions in the Peruvian Amazon. Journal of Environmental Management, 351, 119665.

Jung, J. A., Cho, Y., Lee, S., & Lee, M. J. (2024). Actions to Expand the Use of Geospatial Data and Satellite Imagery for Improved Estimation of Carbon Sinks in the LULUCF Sector. 대한원격탐사학회지 (Korean Journal of Remote Sensing), 40(2), 203-217.

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Chou, T. C., Zhu, X., & Reef, R. (2024). Pre-and post-fire forest canopy height mapping in Southeast Australia through the integration of multi-temporal GEDI data, satellite images, and Convolution Neural Network. International Journal of Remote Sensing, 45(10), 3310-3331.

Dadhwal, V. K., & Nandy, S. (2024). Forest Biomass Assessment Using Multisource Earth Observation Data: Techniques, Data Sets and Applications. Journal of the Indian Society of Remote Sensing, 1-7.

Frappart, F., Minh, D. H. T., Baghdadi, N., Crétaux, J. F., Fayad, I., & Bergé-Nguyen, M. (2024). Improving mean water lake surface elevation estimates using dense lidar measurements from the GEDI satellite mission. Remote Sensing Applications: Society and Environment, 101213.

Ji, M., Xie, H., Oberst, J., Xu, Q., Sun, Y., Liu, S., … & Tong, X. (2024). Deforestation detection from spaceborne full-waveform laser altimetry, incorporating terrain effects: A case study in Porto Velho, Brazil. International Journal of Applied Earth Observation and Geoinformation, 129, 103861.

Liu, X., Neigh, C. S., Pardini, M., & Forkel, M. (2024). Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations. International Journal of Remote Sensing, 45(9), 3129-3148.

Islam, M. D., Di, L., Zhang, C., Yang, R., Qu, J., Tong, D., … & Pandey, A. (2024). A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping using Multi-Source Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Zhou, H., Wang, H., Song, H., Zhang, Q., Ma, Y., & Li, S. (2024). Canopy height extraction over mountainous areas from GEDI lidar deconvoluted waveforms. IEEE Geoscience and Remote Sensing Letters.

Tian, X., & Shan, J. (2024). ICESat-2 Controlled Integration of GEDI and SRTM Data for Large-Scale Digital Elevation Model Generation. IEEE Transactions on Geoscience and Remote Sensing.

Lin, S., Li, L., Liu, S., Gao, G., Zhao, X., Chen, L., … & Huang, H. (2024). Stratified burn severity assessment by integrating spaceborne spectral and waveform attributes in Great Xing’an Mountain. Remote Sensing of Environment, 307, 114152.

Sillett, S. C., Graham, M. E., Montague, J. P., Antoine, M. E., & Koch, G. W. (2024). Ground-based calibration for remote sensing of biomass in the tallest forests. Forest Ecology and Management, 561, 121879.

Swarada, B., Pasha, S. V., & Dadhwal, V. K. (2024). How natural are the forests in Rajiv Gandhi (Nagarhole) Tiger Reserve? A multi-source data approach. Environmental Monitoring and Assessment, 196(5), 1-17.

Alvites, C., O’Sullivan, H., Francini, S., Marchetti, M., Santopuoli, G., Chirici, G., … & Bazzato, E. (2024). High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data. Remote Sensing, 16(7), 1281.

Rodda, S. R., Fararoda, R., Gopalakrishnan, R., Jha, N., Réjou-Méchain, M., Couteron, P., … & Ploton, P. (2024). LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa. Scientific Data, 11(1), 334.

Yu, Q., Ryan, M. G., Ji, W., Prihodko, L., Anchang, J., Kahiu, N., … & Hanan, N. (2024). Assessing canopy height measurements from ICESat-2 and GEDI orbiting LiDAR across six different biomes with G-LiHT LiDAR. Environmental Research: Ecology.

Zhao, X., Hu, W., Han, J., Wei, W., & Xu, J. (2024). Urban Above-Ground Biomass Estimation Using GEDI Laser Data and Optical Remote Sensing Images. Remote Sensing, 16(7), 1229.

Kossieris, S., Tsiakos, V., Tsimiklis, G., & Amditis, A. (2024). Inland Water Level Monitoring from Satellite Observations: A Scoping Review of Current Advances and Future Opportunities. Remote Sensing, 16(7), 1181.

Zhao, Y., Du, S., Li, K., Jiang, J., Guo, Q., & Xiao, W. (2024). Estimation of canopy height based on multi-source remote sensing data using forest structure aided sample selection. International Journal of Remote Sensing, 45(7), 2235-2268.

Queinnec, M., Coops, N. C., & White, J. C. (2024). Characterizing post-fire northern boreal forest height dynamics. International Journal of Remote Sensing, 45(7), 2182-2207.

Jafarzadeh, H., Mahdianpari, M., Gill, E. W., & Mohammadimanesh, F. (2024). Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine. Sensors, 24(5), 1651.

Pronk, M., Hooijer, A., Eilander, D., Haag, A., de Jong, T., Vousdoukas, M., … & Eleveld, M. (2024). DeltaDTM: A global coastal digital terrain model. Scientific Data, 11(1), 273.

Saatchi, S.S. & Favrichon, S. (2024). Global Vegetation Height Metrics from GEDI and ICESat2. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2294

Solberg, S., Bollandsås, O. M., Gobakken, T., Næsset, E., Basak, P., & Duncanson, L. I. (2024). Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest. Remote Sensing, 16(5), 861.

Menounos, B., Gardner, A., Forentine, C., & Fountain, A. (2024). Brief communication: Recent estimates of glacier mass loss for western North America from laser altimetry. The Cryosphere, 18(2), 889-894.

Julzarika, A. (2024). Land surface dynamics and underwater topography from the latest DTM extraction to measure the Antarctica ice sheet thickness. Ocean and Polar Research, http://dx.doi.org/10.4217/OPR.2024002.

Zhu, W., Li, Y., Luan, K., Qiu, Z., He, N., Zhu, X., & Zou, Z. (2024). Forest Canopy Height Retrieval and Analysis Using Random Forest Model with Multi-Source Remote Sensing Integration. Sustainability, 16(5), 1735.

Wang, C., Zhang, W., Ji, Y., Marino, A., Li, C., Wang, L., … & Wang, M. (2024). Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI. Forests, 15(1), 215.

Percival, J. E. H., Sato, H., Razanaparany, T. P., Rakotomamonjy, A. H., Razafiarison, Z. L., & Kitajima, K. (2024). Non fire-adapted dry forest of Northwestern Madagascar: Escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data. Plos one, 19(2), e0290203.

Narin, O. G., Abdikan, S., Gullu, M., Lindenbergh, R., Balik Sanli, F., & Yilmaz, I. (2024). Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data. International Journal of Digital Earth, 17(1), 2316113.

Wang, B., Zhao, H., Wang, X., Lyu, G., Chen, K., Xu, J., … & Sheng, Q. (2024). Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China. ISPRS Journal of Photogrammetry and Remote Sensing, 209, 312-323.

Gelabert, P.J., Rodrigues, M., Coll, L., Vega-Garcia, C., & Ameztegui, A. (2024). Maximum tree hight in European Mountains decreases above a climate-related elevation threshold. Communications Earth & Environment, 5, 84.

Seppi, S., López-Martínez, C., & Joseau, M. J. (2024). An Assessment of SAOCOM L-Band PolInSAR Capabilities For Canopy Height Estimation: A Case Study Over Managed Forests In Argentina. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Brusse, T., Lenoir, J., Boisset, N., Spicher, F., Dubois, F., Caro, G., & Marrec, R. (2024). Mechanistically mapping near-surface temperature in the understory of temperate forests: A validation of the microclima R package against empirical observations. Agricultural and Forest Meteorology, 346, 109894.

Fayad, I., Ciais, P., Schwartz, M., Wigneron, J. P., Baghdadi, N., de Truchis, A., … & Bazzi, H. (2024). Hy-TeC: a hybrid vision transformer model for high-resolution and large-scale mapping of canopy height. Remote Sensing of Environment, 302, 113945.

Jia, D., Wang, C., Hakkenberg, C. R., Numata, I., Elmore, A. J., & Cochrane, M. A. (2024). Accuracy evaluation and effect factor analysis of GEDI aboveground biomass product for temperate forests in the conterminous United States. GIScience & Remote Sensing, 61(1), 2292374.

Marcus, M. S., Hergoualc’h, K., Coronado, E. N. H., & Gutiérrez-Vélez, V. H. (2024). Spatial distribution of degradation and deforestation of palm swamp peatlands and associated carbon emissions in the Peruvian Amazon. Journal of Environmental Management, 351, 119665.

Song, H., Zhou, H., Wang, H., Ma, Y., Zhang, Q., & Li, S. (2024). Retrieval of Tree Height Percentiles over Rugged Mountain Areas via Target Response Waveform of Satellite Lidar. Remote Sensing, 16(2), 425.

Stan, K. D., Sanchez-Azofeifa, A., & Hamann, H. F. (2024). Widespread degradation and limited protection of forests in global tropical dry ecosystems. Biological Conservation, 289, 110425.

Tolan, J., Yang, H. I., Nosarzewski, B., Couairon, G., Vo, H. V., Brandt, J., … & Couprie, C. (2024). Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar. Remote Sensing of Environment, 300, 113888.

Suab, S. A., Supe, H., Louw, A. S., Avtar, R., Korom, A., & Xinyu, C. (2024). Mapping of Temporally Dynamic Tropical Forest and Plantations Canopy Height in Borneo Utilizing TanDEM-X InSAR and Multi-sensor Remote Sensing Data. Journal of the Indian Society of Remote Sensing, 1-19.

Mohite, J., Sawant, S., Pandit, A., Sakkan, M., Pappula, S., & Parmar, A. (2024). Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest. International Journal of Remote Sensing, 45(4), 1304-1338.

Zhao, X., Chen, J. M., Zhang, Y., Jiao, Z., Liu, L., Qiu, F., … & Cao, R. (2024). Global mapping of forest clumping index based on GEDI canopy height and complementary data. ISPRS Journal of Photogrammetry and Remote Sensing, 209, 1-16.

Aragoneses, E., García, M., Ruiz-Benito, P., & Chuvieco, E. (2024). Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data. Remote Sensing of Environment, 303, 114005.

Bauer, L., Huth, A., Bogdanowski, A., Müller, M., Fischer, R. (2024). Edge Effects in Amazon Forests: Integrating Remote Sensing and Modelling to Assess Changes in Biomass and Productivity. Remote Sensing. 16(3), 501.

Lu, D., & Jiang, X. (2024). A brief overview and perspective of using airborne Lidar data for forest biomass estimation. International Journal of Image and Data Fusion, 1-24.

Wang, C., Zhang, W., Ji, Y., Marino, A., Li, C., Wang, L., … & Wang, M. (2024). Estimation of Aboveground Biomass for Different Forest Types Using Data from Sentinel-1, Sentinel-2, ALOS PALSAR-2, and GEDI. Forests, 15(1), 215.

Chaparro, D., Jagdhuber, T., Piles, M., Jonard, F., Fluhrer, A., Vall-llossera, M., … & Entekhabi, D. (2024). Vegetation moisture estimation in the Western United States using radiometer-radar-lidar synergy. Remote Sensing of Environment, 303, 113993.

Pletcher, E., Smith-Tripp, S., Evans, D., & Schwartz, N. B. (2024). Evaluating global vegetation products for application in heterogeneous forest-savanna landscapes. International Journal of Remote Sensing, 45(2), 492-507.

Zhang, Q., Zhang, G., Zhang, Y., Xiao, X., You, N., Li, Z., … & Dong, J. (2024). Coupling GEDI LiDAR and Optical Satellite for Revealing Large‐Scale Maize Lodging in Northeast China. Earth’s Future, 12(1), e2023EF003590.

Peña-Arancibia, J. L., Ticehurst, C. J., Yu, Y., McVicar, T. R., & Marvanek, S. P. (2024). Feasibility of monitoring floodplain on-farm water storages by integrating airborne and satellite LiDAR altimetry with optical remote sensing. Remote Sensing of Environment, 302, 113992.

Li, Z., Xuan, F., Dong, Y., Huang, X., Liu, H., Zeng, Y., … & Li, X. (2024). Performance of GEDI data combined with Sentinel-2 images for automatic labelling of wall-to-wall corn mapping. International Journal of Applied Earth Observation and Geoinformation, 127, 103643.

Li, X., Li, L., Ni, W., Mu, X., Wu, X., Laurin, G. V., … & Huang, H. (2024). Validating GEDI tree canopy cover product across forest types using co-registered aerial LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 207, 326-337. 

Doughty, C. E., Gaillard, C., Burns, P., Keany, J., Abraham, A., Malhi, Y. S., … & Tang, H. (2023). Tropical forests are mainly unstratified especially in Amazonia and regions with lower fertility or higher temperatures. Environmental Research: Ecology. Accepted Manuscript.

Bruening, J. M., May, P. B., Armston, J. D., & Dubayah, R. O. (2023) Precise and Unbiased Biomass Estimation From GEDI Data and the US Forest Inventory. Frontiers in Forests and Global Change, 6, 1149153.

Vogeler, J. C., Fekety, P. A., Elliott, L., Swayze, N. C., Filippelli, S. K., Barry, B., … & Vierling, K. T. (2023). Evaluating GEDI data fusions for continuous characterizations of forest wildlife habitat. Frontiers in Remote Sensing, 4, 1196554.

Cushman, K. C., Armston, J., Dubayah, R., Duncanson, L., Hancock, S., Janík, D., … & Kellner, J. R. (2023). Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated GEDI lidar. Environmental Research Letters, 18(6), 065009.

Thomas, N., Urbazaev, M., Stovall, A. E., Hess, L., Armston, J., Neuenschwander, A., … & Duncanson, L. (2023). Seasonal flooding provides limitations and opportunities for ecosystem carbon accounting from space. Environmental Research Letters.

Bullock, E. L., Healey, S. P., Yang, Z., Acosta, R., Villalba, H., Insfrán, K. P., … & Dubayah, R. (2023). Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory. Environmental Research Letters.

Pascual, A., Guerra-Hernández, J., Armston, J., Minor, D. M., Duncanson, L. I., May, P. B., … & Dubayah, R. (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.

Calders, K., Brede, B., Newnham, G., Culvenor, D., Armston, J., Bartholomeus, H. (2023). StrucNut: a global network for automated vegetation structure monitoring. Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.333

Tang, H., Stoker, J., Luthcke, S., Armston, J., Lee, K., Blair, B., & Hofton, M. (2023). Evaluating and mitigating the impact of systematic geolocation error on canopy height measurement performance of GEDI. Remote Sensing of Environment, 291, 113571.

Ma, L., Hurtt, G., Tang, H., Lamb, R., Lister, A., Chini, L., … & Shen, Q. (2023). Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling. Global Change Biology.

Choi, C., Cazcarra-Bes, V., Guliaev, R., Pardini, M., Papathanassiou, K. P., Qi, W., … & Dubayah, R. O. (2023). Large-Scale Forest Height Mapping by Combining TanDEM-X and GEDI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 2374-2385.

Duncanson, L., Liang, M., Leitold, V., Armston, J., Krishna Moorthy, S. M., Dubayah, R., … & Zvoleff, A. (2023). The effectiveness of global protected areas for climate change mitigation. Nature Communications, 14(1), 2908.

May, P., McConville, K. S., Moisen, G. G., Bruening, J., & Dubayah, R. (2023). A spatially varying model for small area estimates of biomass density across the contiguous United States. Remote Sensing of Environment, 286, 113420.

Liang, M., González-Roglich, M., Roehrdanz, P., Tabor, K., Zvoleff, A., Leitold, V., … & Duncanson, L. (2023). Assessing protected area’s carbon stocks and ecological structure at regional-scale using GEDI lidar. Global Environmental Change, 78, 102621.

Liang, M., Duncanson, L., Silva, J. A., & Sedano, F. (2023). Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat. Remote Sensing of Environment, 284, 113367.

Li, X., Wessels, K., Armston, J., Hancock, S., Mathieu, R., Main, R., … & Scholes, R. (2023). First validation of GEDI canopy heights in African savannas. Remote Sensing of Environment, 285, 113402.

Lee, C., Lee, J., Kim, C., Chu, Y., & Lee, B. (2023). Prediction of Carbon Accumulation within Semi-Mangrove Ecosystems Using Remote Sensing and Artificial Intelligence Modeling in Jeju Island, South Korea. Ecology and Resilient Infrastructure, 10(4), 161-170.

Brodie, J. F., Mohd-Azlan, J., Chen, C., Wearn, O. R., Deith, M. C., Ball, J. G., … & Luskin, M. S. (2023). Landscape-scale benefits of protected areas for tropical biodiversity. Nature, 620(7975), 807-812.

Valencia, S., Salazar, J. F., Hoyos, N., Armenteras, D., & Villegas, J. C. (2023). Current Forest–Savanna Transition in Northern South America Departs from Typical Climatic Thresholds. Ecosystems, 1-16.

Mathew, J. R., Singh, C. P., Solanki, H., Sedha, D., Pandya, M. R., & Bhattacharya, B. K. (2023). Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review. Tropical Ecology, 1-15.

Narin, O. G., & Gullu, M. (2023). A comparison of vertical accuracy of global DEMs and DEMs produced by GEDI, ICESat-2. Earth Science Informatics, 1-15.

Myroniuk, V., Zibtsev, S., Bogomolov, V., Goldammer, J. G., Soshenskyi, O., Levchenko, V., & Matsala, M. (2023). Combining Landsat time series and GEDI data for improved characterization of fuel types and canopy metrics in wildfire simulation. Journal of Environmental Management, 345, 118736.

Padalia, H., Prakash, A., & Watham, T. (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, 102234.

Schleich, A., Durrieu, S., & Vega, C. (2023). Improving GEDI Footprint Geolocation Using a High Resolution Digital Elevation Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Wang, S., Liu, C., Li, W., Jia, S., & Yue, H. (2023). Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery. International Journal of Applied Earth Observation and Geoinformation, 122, 103431.

Jucker, T., Gosper, C. R., Wiehl, G., Yeoh, P. B., Raisbeck-Brown, N., Fischer, F. J., … & Prober, S. M. (2023). Using multi-platform LiDAR to guide the conservation of the world’s largest temperate woodland. Remote Sensing of Environment, 296, 113745.

Abbasi, A. O., Tang, X., Harris, N. L., Goldman, E. D., Gamarra, J. G., Herold, M., … & Liang, J. (2023). Spatial database of planted forests in East Asia. Scientific Data, 10(1), 480.

Huettermann, S., Jones, S., Soto-Berelov, M., & Hislop, S. (2023). Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire. International Journal of Applied Earth Observation and Geoinformation, 122, 103403.

Lin, X., Shang, R., Chen, J. M., Zhao, G., Zhang, X., Huang, Y., … & Jiao, W. (2023). High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data. Agricultural and Forest Meteorology, 339, 109592.

Crockett, E. T., Atkins, J. W., Guo, Q., Sun, G., Potter, K. M., Ollinger, S., … & Xiao, J. (2023). Structural and species diversity explain aboveground carbon storage in forests across the United States: Evidence from GEDI and forest inventory data. Remote Sensing of Environment, 295, 113703.

Schwartz, M., Ciais, P., De Truchis, A., Chave, J., Ottlé, C., Vega, C., … & Fayad, I. (2023). FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and GEDI data with a deep learning approach. Earth System Science Data Discussions, 2023, 1-28.

Ziegler, A., Heisig, J., Ludwig, M., Reudenbach, C., Meyer, H., & Nauss, T. (2023). Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index. Environmental Research Letters.

Rodrigues, M., Coll, L., Vega-Garcia, C., Ameztegui, A., & Gelabert, P. (2023). On the relationship between maximum tree height, elevation and climate in European mountain ranges. Preprint.

Huang, Q., Xu, J., Wong, J. P., Radeloff, V. C., & Songer, M. (2023). Prioritizing global tall forests toward the 30‐by‐30 goal. Conservation Biology.

Landmann, T., Schmitt, M., Ekim, B., Villinger, J., Ashiono, F., Habel, J. C., & Tonnang, H. E. (2023). Insect diversity is a good indicator of biodiversity status in Africa. Communications Earth & Environment, 4(1), 234.

Barenblitt, A., Fatoyinbo, L., Thomas, N., Stovall, A., de Sousa, C., Nwobi, C., & Duncanson, L. (2023). Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 2020. Remote Sensing in Ecology and Conservation.

Alkama, R., Girardello, M., Ceccherini, G., Forzieri, G., Koffi, E. N., Roebroek, C., & Cescatti, A. (2023). Tree architecture modulates the trends in greenness and water content of European forest canopies. Preprint.

Kashongwe, H. B., Roy, D. P., & Skole, D. L. (2023). Examination of the amount of GEDI data required to characterize central Africa tropical forest aboveground biomass at REDD+ project scale in Mai Ndombe province. Science of Remote Sensing, 100091.

Wang, Y., Fang, H., Zhang, Y., Li, S., Pang, Y., Ma, T., & Li, Y. (2023). Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site. GIScience & Remote Sensing, 60(1), 2214987.

Cushman, K. C., Armston, J., Dubayah, R., Duncanson, L. I., Hancock, S., Janík, D., … & Kellner, J. R. (2023). Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated Global Ecosystem Dynamics Investigation (GEDI) lidar. Environmental Research Letters. In press.

Purslow, M., Hancock, S., Neuenschwander, A., Armston, J., & Duncanson, L. (2023). Can ICESat-2 estimate stand-level plant structural traits? Validation of an ICESat-2 simulator. Science of Remote Sensing, 100086.

Fayad, I., Ciais, P., Schwartz, M., Wigneron, J. P., Baghdadi, N., de Truchis, A., … & Bazzi, H. (2023). Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights. arXiv preprint arXiv:2304.11487.

Wang, X., Liu, X., Wu, Y., Chen, R., & Wang, S. (2023). Dynamic Assessment and Change Analysis of Ecosystem Service Value Based on Physical Assessment Method in Cili County, China. Forests, 14(5), 869.

Rodda, S. R., Nidamanuri, R. R., Fararoda, R., Mayamanikandan, T., & Rajashekar, G. (2023). Evaluation of Height Metrics and Above-Ground Biomass Density from GEDI and ICESat-2 Over Indian Tropical Dry Forests using Airborne LiDAR Data. Journal of the Indian Society of Remote Sensing, 1-16.

Xu, L., Shu, Q., Fu, H., Zhou, W., Luo, S., Gao, Y., … & Wang, S. (2023). Estimation of Quercus Biomass in Shangri-La Based on GEDI Spaceborne Lidar Data. Forests, 14(5), 876.

de Sousa, C., Fatoyinbo, L., Honzák, M., Wright, T. M., Murillo Sandoval, P. J., Whapoe, Z. E., … & Juhn, D. (2023). Two decades of land cover change and forest fragmentation in Liberia: Consequences for the contribution of nature to people. Conservation Science and Practice, e12933.

Killion, A. K., Honda, A., Trout, E., & Carter, N. H. (2023). Integrating spaceborne estimates of structural diversity of habitat into wildlife occupancy models. Environmental Research Letters. 

Wu, J., Ke, C. Q., Cai, Y., Nourani, V., Chen, J., & Duan, Z. (2023). GEDI: A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Purkis, S. J., Ward, S. N., Fitzpatrick, N. M., Garvin, J. B., Slayback, D., Cronin, S. J., … & Dempsey, A. (2023). The 2022 Hunga-Tonga megatsunami: Near-field simulation of a once-in-a-century event. Science Advances, 9(15), eadf5493.

Shi, J., Zhang, W., Marino, A., Zeng, P., Ji, Y., Zhao, H., … & Wang, M. (2023). Forest total and component biomass retrieval via GA-SVR algorithm and quad-polarimetric SAR data. International Journal of Applied Earth Observation and Geoinformation, 118, 103275.

Wang, Y., Long, D., & Li, X. (2023). High-temporal-resolution monitoring of reservoir water storage of the Lancang-Mekong River. Remote Sensing of Environment, 292, 113575.

Kacic, P., Thonfeld, F., Gessner, U., & Kuenzer, C. (2023). Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data. Remote Sensing, 15(8), 1969.

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Li, X., Wessels, K., Armston, J., Hancock, S., Mathieu, R., Main, R., … & Scholes, R. (2023). First validation of GEDI canopy heights in African savannas. Remote Sensing of Environment, 285, 113402.

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Ren, C., Jiang, H., Xi, Y., Liu, P., & Li, H. (2023). Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery. Remote Sensing, 15(2), 375.

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Cobb, A. R., Dommain, R., Sukri, R. S., Metali, F., Bookhagen, B., Harvey, C. F., & Tang, H. (2023). Improved terrain estimation from spaceborne lidar in tropical peatlands using spatial filtering. Science of Remote Sensing, 100074.

Vernimmen, R., & Hooijer, A. (2023). New LiDAR Based Elevation Model Shows Greatest Increase in Global Coastal Exposure to Flooding to Be Caused by Early Stage Sea Level Rise. Earth’s Future, 11(1), e2022EF002880.

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Musthafa, M., Singh, G., & Kumar, P. (2023). Comparison of forest stand height interpolation of GEDI and ICESat-2 LiDAR measurements over tropical and sub-tropical forests in India. Environmental Monitoring and Assessment, 195(1), 1-17.

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Smith, A. B., Vogeler, J. C., Bjornlie, N. L., Squires, J. R., Swayze, N. C., & Holbrook, J. D. (2022). Spaceborne LiDAR and animal-environment relationships: An assessment for forest carnivores and their prey in the Greater Yellowstone Ecosystem. Forest Ecology and Management, 520, 120343.

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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.

Fatoyinbo, T., Armston, J., Simard, M., Saatchi, S., Denbina, M., Lavalle, M., … & Hibbard, K. (2021). The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions. Remote Sensing of Environment, 264, 112533.

Hancock, S., McGrath, C., Lowe, C., Davenport, I., & Woodhouse, I. (2021). Requirements for a global lidar system: spaceborne lidar with wall-to-wall coverage. Royal Society open science, 8(12), 211166.

Ilangakoon, N., Glenn, N. F., Schneider, F. D., Dashti, H., Hancock, S., Spaete, L., & Goulden, T. (2021). Airborne and Spaceborne Lidar Reveal Trends and Patterns of Functional Diversity in a Semi-Arid Ecosystem. Frontiers in Remote Sensing, 2.

Potapov, P., Li, X., Hernandez-Serna, A., Tyukavina, A., Hansen, M. C., Kommareddy, A., … & Armston, J. (2021). Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165.

Roy, D. P., Kashongwe, H. B., & Armston, J. (2021). The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring. Science of Remote Sensing, 4, 100024.

Silva, C. A., Duncanson, L., Hancock, S., Neuenschwander, A., Thomas, N., Hofton, M., … & Dubayah, R. (2021). Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping. Remote Sensing of Environment, 253, 112234.

Stovall, A. E., Fatoyinbo, T., Thomas, N. M., Armston, J., Ebanega, M. O., Simard, M., … & Essono, C. Z. (2021). Comprehensive comparison of airborne and spaceborne SAR and LiDAR estimates of forest structure in the tallest mangrove forest on earth. Science of Remote Sensing, 4, 100034.

Adrah, E., Jaafar, W. W. M., Bajaj, S., Omar, H., Leite, R. V., Silva, C. A., … & Mohan, M. (2021, October). Analyzing canopy height variations in secondary tropical forests of Malaysia using NASA GEDI. In IOP Conference Series: Earth and Environmental Science (Vol. 880, No. 1, p. 012031). IOP Publishing.

Atmani, F., Bookhagen, B., & Smith, T. (2022). Measuring Vegetation Heights and Their Seasonal Changes in the Western Namibian Savanna Using Spaceborne Lidars. Remote Sensing, 14(12), 2928.

Bauer, L., Knapp, N., & Fischer, R. (2021). Mapping Amazon Forest Productivity by Fusing GEDI Lidar Waveforms with an Individual-Based Forest Model. Remote Sensing, 13(22), 4540.

Borlaf-Mena, I., Badea, O., & Tanase, M. A. (2021). Assessing the Utility of Sentinel-1 Coherence Time Series for Temperate and Tropical Forest Mapping. Remote Sensing, 13(23), 4814.

Campbell, M. J., Dennison, P. E., Kerr, K. L., Brewer, S. C., & Anderegg, W. R. (2021). Scaled biomass estimation in woodland ecosystems: Testing the individual and combined capacities of satellite multispectral and lidar data. Remote Sensing of Environment, 262, 112511.

Chen, L., Ren, C., Zhang, B., Wang, Z., Liu, M., Man, W., & Liu, J. (2021). Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests Ecoregion (CMMFE), northeast China. International Journal of Applied Earth Observation and Geoinformation, 100, 102326.

Chen, H., Cloude, S. R., & White, J. C. (2021). Using GEDI Waveforms for improved TanDEM-X forest height mapping: A combined SINC+ Legendre approach. Remote Sensing, 13(15), 2882.

DiMiceli, C., Townshend, J., Carroll, M., & Sohlberg, R. (2021). Evolution of the representation of global vegetation by vegetation continuous fields. Remote Sensing of Environment, 254, 112271.

Di Tommaso, S., Wang, S., & Lobell, D. B. (2021). Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. Environmental Research Letters, 16(12), 125002.

Dorado-Roda, I., Pascual, A., Godinho, S., Silva, C. A., Botequim, B., Rodríguez-Gonzálvez, P., … & Guerra-Hernández, J. (2021). Assessing the accuracy of GEDI data for canopy height and aboveground biomass estimates in Mediterranean forests. Remote Sensing, 13(12), 2279.

Fayad, I., Baghdadi, N., & Riédi, J. (2021). Quality assessment of acquired GEDI waveforms: Case study over France, Tunisia and French Guiana. Remote Sensing, 13(16), 3144.

Fayad, I., Baghdadi, N., Alcarde Alvares, C., Stape, J. L., Bailly, J. S., Scolforo, H. F., … & Le Maire, G. (2021). Terrain slope effect on forest height and wood volume estimation from GEDI data. Remote Sensing, 13(11), 2136.

Fayad, I., Ienco, D., Baghdadi, N., Gaetano, R., Alvares, C. A., Stape, J. L., … & Le Maire, G. (2021). A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms. Remote Sensing of Environment, 265, 112652.

Fayad, I., Baghdadi, N., Alcarde, C., Stape, J. L., Bailly, J. S., Scolforo, H., … & Le Maire, G. (2021). Assessment of GEDI’s LiDAR Data for the Estimation of Canopy Heights and Wood Volume of Eucalyptus plantations in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Frappart, F., Blarel, F., Fayad, I., Bergé-Nguyen, M., Crétaux, J. F., Shu, S., … & Baghdadi, N. (2021). Evaluation of the Performances of Radar and Lidar Altimetry Missions for Water Level Retrievals in Mountainous Environment: The Case of the Swiss Lakes. Remote Sensing, 13(11), 2196.

Guerra-Hernández, J., & Pascual, A. (2021). Using GEDI lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species: a showcase in Spain. Forest Ecosystems, 8(1), 1-17.

Kacic, P., Hirner, A., & Da Ponte, E. (2021). Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco. Remote Sensing, 13(24), 5105.

Khati, U., Lavalle, M., & Singh, G. (2021). The Role of Time-Series L-Band SAR and GEDI in Mapping Sub-Tropical Above-Ground Biomass. Front. Earth Sci, 9, 752254.

Knapp, N., Huth, A., & Fischer, R. (2021). Tree crowns cause border effects in area-based biomass estimations from remote sensing. Remote Sensing, 13(8), 1592.

Kokalj, Ž., & Mast, J. (2021). Space lidar for archaeology? Reanalyzing GEDI data for detection of ancient Maya buildings. Journal of Archaeological Science: Reports, 36, 102811.

Liu, A., Cheng, X., & Chen, Z. (2021). Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals. Remote Sensing of Environment, 264, 112571.

Ni, W., Zhang, Z., & Sun, G. (2021). Assessment of Slope-Adaptive Metrics of GEDI Waveforms for Estimations of Forest Aboveground Biomass over Mountainous Areas. Journal of Remote Sensing, 2021.

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.

Quirós, E., Polo, M. E., & Fragoso-Campón, L. (2021). GEDI elevation accuracy assessment: a case study of southwest Spain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 5285-5299.

Rishmawi, K., Huang, C., & Zhan, X. (2021). Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data. Remote Sensing, 13(3), 442.

Salas, E. A. L. (2021). Waveform LiDAR concepts and applications for potential vegetation phenology monitoring and modeling: a comprehensive review. Geo-spatial Information Science, 24(2), 179-200.

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).

Spracklen, B., & Spracklen, D. V. (2021). Determination of Structural Characteristics of Old-Growth Forest in Ukraine Using Spaceborne LiDAR. Remote Sensing, 13(7), 1233.

Verhelst, K., Gou, Y., Herold, M., & Reiche, J. (2021). Improving forest baseline maps in tropical wetlands using gedi-based forest height information and sentinel-1. Forests, 12(10), 1374.

Vittucci, C., Guerriero, L., Ferrazzoli, P., Richaume, P., & Kerr, Y. H. (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.

Walter, J. A., Rodenberg, C. A., Stovall, A. E., Nunez‐Mir, G. C., Onufrieva, K. S., & Johnson, D. M. (2021). Evaluating the success of treatments that slow spread of an invasive insect pest. Pest Management Science, 77(10), 4607-4613.

Xiang, J., Li, H., Zhao, J., Cai, X., & Li, P. (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.

Yao, J., Tang, X., Li, G., Chen, J., Zuo, Z., Ai, B., … & Guo, J. (2021). Influence of Atmospheric Scattering on the Accuracy of Laser Altimetry of the GF-7 Satellite and Corrections. Remote Sensing, 14(1), 129.

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).

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.

Boucher, P. B., Hancock, S., Orwig, D. A., Duncanson, L., Armston, J., Tang, H., … & Elmes, A. (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.

Burns, P., Clark, M., Salas, L., Hancock, S., Leland, D., Jantz, P., Dubayah, R. and Goetz, S.J. (2020). Incorporating canopy structure from simulated GEDI lidar into bird species distribution models. Environmental Research Letters, 15 (9), 95002.

Dubayah, R., Blair, J.B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., Hofton, M., Hurtt, G., Kellner, J., Luthcke, S., & Armston, J. (2020) The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography. Science of Remote Sensing, p.100002.

Duncanson, L., Neuenschwander, A., Hancock, S., Thomas, N., Fatoyinbo, T., Simard, M., Silva, C.A., Armston, J., Luthcke, S.B., Hofton, M., Kellner, J., Dubayah, R. (2020) Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California. Remote Sensing of Environment. 242. 111779.

Healey, S. P., Yang, Z., Gorelick, N., & Ilyushchenko, S. (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.

Marselis, Suzanne M., Katharine Abernethy, Alfonso Alonso, John Armston, Timothy R. Baker, Jean‐Francois Bastin, Jan Bogaert et al. (2020). Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness. Global Ecology and Biogeography. 00: 1– 18. 

Marshak, C., Simard, M., Duncanson, L., Silva, C. A., Denbina, M., Liao, T. H., … & Armston, J. (2020). Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels. Remote Sensing, 12(12), 2048.

Sanchez-Lopez, N., Boschetti, L., Hudak, A. T., Hancock, S., & Duncanson, L. I. (2020). Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study. Remote Sensing, 12(21), 3506. 

Schneider, F. D., Ferraz, A. A., Hancock, S., Duncanson, L. I., Dubayah, R. O., Pavlick, R. P., & Schimel, D. S. (2020). Towards mapping the diversity of canopy structure from space with GEDI. Environmental Research Letters.

Sun, X., Blair, J. B., Bufton, J. L., Faina, M., Dahl, S., Bérard, P., & Seymour, R. J. (2020, March). Advanced silicon avalanche photodiodes on NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission. In Photonic Instrumentation Engineering VII (Vol. 11287, p. 1128713). International Society for Optics and Photonics.

Adam, M., Urbazaev, M., Dubois, C., & Schmullius, C. (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.

Fayad, I., Baghdadi, N., Bailly, J. S., Frappart, F., & Zribi, M. (2020). Analysis of GEDI Elevation Data Accuracy for Inland Waterbodies Altimetry. Remote Sensing, 12(17), 2714.

Kumar, S., Govil, H., Srivastava, P. K., Thakur, P. K., & Kushwaha, S. P. (2020). Spaceborne multifrequency PolInSAR-based inversion modelling for forest height retrieval. Remote Sensing, 12(24), 4042.

Lin, X., Xu, M., Cao, C., Dang, Y., Bashir, B., Xie, B., & Huang, Z. (2020). Estimates of forest canopy height using a combination of ICESat-2/ATLAS data and stereo-photogrammetry. Remote Sensing, 12(21), 3649.

Puletti, N., Grotti, M., Ferrara, C., & Chianucci, F. (2020). Lidar-based estimates of aboveground biomass through ground, aerial, and satellite observation: a case study in a Mediterranean forest. Journal of Applied Remote Sensing, 14(4), 044501.

Tan, P., Zhu, J., Fu, H., Wang, C., Liu, Z., & Zhang, C. (2020). Sub-Canopy Topography Estimation from TanDEM-X DEM by Fusing ALOS-2 PARSAR-2 InSAR Coherence and GEDI Data.Sensors, 20(24), 7304.

Eegholm, B., Wake, S., Denny, Z., Dogoda, P., Poulios, D., Coyle, B., … & Blair, B. (2019, August). Global Ecosystem Dynamics Investigation (GEDI) instrument alignment and test. In Optical Modeling and System Alignment (Vol. 11103, pp. 53-70). SPIE.

Hancock, S., Armston, J., Hofton, M., Sun, X., Tang, H., Duncanson, L. I., James R. Kellner, & Dubayah, R. (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.

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.

Marselis, S. M., Tang, H., Armston, J., Abernethy, K., Alonso, A., Barbier, N., … & Lee, S. K. (2019). Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon. Environmental Research Letters, 14(9), 094013.

Pardini, M., Armston, J., Qi, W., Lee, S.K., Tello, M., Cazcarra Bes, V., Choi, C., Papathanassiou, K.P., Dubayah, R.O., & Fatoyinbo, L.E. (2019) Early Lessons on Combining Lidar and Multi-baseline SAR Measurements for Forest Structure Characterization. Surveys in Geophysics, 40 (4), 803–837.

Patterson, P.L., Healey, S.P., Ståhl, G., Saarela, S., Holm, S., Andersen, H., Dubayah, R.O., Duncanson, L., Hancock, S., & Armston, J.(2019) Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation. Environmental Research Letters, 14 (6).

Qi, W., Lee, S. K., Hancock, S., Luthcke, S., Tang, H., Armston, J., & Dubayah, R. (2019). Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data. Remote Sensing of Environment, 221, 621-634.

Qi, W., Saarela, S., Armston, J., Ståhl,G., & Dubayah, R. (2019). Forest biomass estimation over three distinct forest types using TanDEM-X InSAR data and simulated GEDI lidar data. Remote Sensing of Environment, 232, 111-283.

Tang, H., Armston, J., Hancock, S., Marselis, S., Goetz, S., & Dubayah, R. (2019). Characterizing global forest canopy cover distribution using spaceborne lidar. Remote Sensing of Environment, 231, 111262.

Wake, S., Ramos-Izquierdo, L. A., Eegholm, B., Dogoda, P., Denny, Z., Hersh, M., … & Blair, J. B. (2019, September). Optical system design and integration of the Global Ecosystem Dynamics Investigation Lidar. In Infrared Remote Sensing and Instrumentation XXVII (Vol. 11128, pp. 99-111). SPIE.

Albinet, C., Whitehurst, A. S., Jewell, L. A., Bugbee, K., Laur, H., Murphy, K. J., … & Duncanson, L. (2019). A joint ESA-NASA multi-mission algorithm and analysis platform (MAAP) for biomass, NISAR, and GEDI. Surveys in Geophysics, 40(4), 1017-1027.

Coyle, D. B., Stysley, P. R., Chirag, F. L., Frese, E., & Poulios, D. (2019, September). The global ecosystem dynamics investigation (GEDI) lidar laser transmitter. In Infrared Remote Sensing and Instrumentation XXVII (Vol. 11128, pp. 112-125). SPIE.

Klein, V., & Axelrad, P. (2019). Advanced multipath modeling and validation for GPS onboard the International Space Station. Navigation, 66(3), 559-575.

Tian, J., Wang, L., Li, X., Yin, D., Gong, H., Nie, S., … & Xu, R. (2019). Canopy height layering biomass estimation model (CHL-BEM) with full-waveform LiDAR. Remote Sensing, 11(12), 1446.

Wake, S., Ramos-Izquierdo, L. A., Eegholm, B., Dogoda, P., Denny, Z., Hersh, M., … & Blair, J. B. (2019, September). Optical system design and integration of the Global Ecosystem Dynamics Investigation Lidar. In Infrared Remote Sensing and Instrumentation XXVII (Vol. 11128, p. 111280J). International Society for Optics and Photonics.

Marselis, S. M., Tang, H., Armston, J. D., Calders, K., Labrière, N., & Dubayah, R. (2018). Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon. Remote Sensing of Environment, 216, 626-634.

Saarela, S., Holm, S., Healey, S., Andersen, H.E., Petersson, H., Prentius, W., Patterson, P., Næsset, E., Gregoire, T., & Ståhl, G. (2018) Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data. Remote Sensing, 10 (11), p.1832.

Stysley, P. R., Coyle, D. B., Chiragh, F., Frese, E., Hersh, M., Smith, K., … & Mule, P. (2018, May). Qualification of the solid state laser systems for the GEDI altimeter mission. In Laser Radar Technology and Applications XXIII (Vol. 10636, pp. 194-202). SPIE.

2017

Milenković, M., Schnell, S., Holmgren, J., Ressl, C., Lindberg, E., Hollaus, M., … & Olsson, H. (2017). Influence of footprint size and geolocation error on the precision of forest biomass estimates from space-borne waveform LiDAR. Remote Sensing of Environment, 200, 74-88.

Rodríguez-Veiga, P., Wheeler, J., Louis, V., Tansey, K., & Balzter, H. (2017). Quantifying forest biomass carbon stocks from space. Current Forestry Reports, 3(1), 1-18.

2016

Qi, W., & Dubayah, R. O. (2016). Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure mapping. Remote Sensing of Environment, 187, 253-266. DOI: 10.1016/j.rse.2016.10.018

Stysley, P. R., Coyle, D. B., Clarke, G. B., Frese, E., Blalock, G., Morey, P., … & Hersh, M. (2016, May). Laser production for NASA’s global ecosystem dynamics investigation (GEDI) lidar. In Laser Radar Technology and Applications XXI (Vol. 9832, pp. 54-61). SPIE.

2015

Coyle, D. B., Stysley, P. R., Poulios, D., Clarke, G. B., & Kay, R. B. (2015, September). Laser transmitter development for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar. In Lidar Remote Sensing for Environmental Monitoring XV (Vol. 9612, pp. 19-25). SPIE.

Stysley, P. R., Coyle, D. B., Kay, R. B., Frederickson, R., Poulios, D., Cory, K., & Clarke, G. (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.