The following 7 publications cited the product GEDI L3 Gridded Land Surface Metrics, Version 2.
Year | Citation |
---|---|
2024 | Burns, P., C.R. Hakkenberg, and S.J. Goetz. 2024. Multi-resolution gridded maps of vegetation structure from GEDI. Scientific Data. 11(1). https://doi.org/10.1038/s41597-024-03668-4 |
2024 | Leite, R.V., C. Amaral, C.S.R. Neigh, D.N. Cosenza, C. Klauberg, A.T. Hudak, L. Aragăo, D.C. Morton, S. Coffield, T. McCabe, and C.A. Silva. 2024. Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.416 |
2024 | Pronk, M., A. Hooijer, D. Eilander, A. Haag, T. de Jong, M. Vousdoukas, R. Vernimmen, H. Ledoux, and M. Eleveld. 2024. DeltaDTM: A global coastal digital terrain model. Scientific Data. 11(1). https://doi.org/10.1038/s41597-024-03091-9 |
2024 | Trew, B.T., D.P. Edwards, A.C. Lees, D.H. Klinges, R. Early, M. Svátek, R. Plichta, R. Matula, J. Okello, A. Niessner, M. Barthel, J. Six, E.E. Maeda, J. Barlow, R.O. do Nascimento, E. Berenguer, J. Ferreira, J. Sallo-Bravo, and I.M.D. Maclean. 2024. Novel temperatures are already widespread beneath the world’s tropical forest canopies. Nature Climate Change. 14(7):753-759. https://doi.org/10.1038/s41558-024-02031-0 |
2023 | Geremew, 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. https://doi.org/10.1080/19376812.2023.2164865 |
2023 | Li, 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. https://doi.org/10.1038/s41893-022-01020-5 |
2022 | Labričre, 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. https://doi.org/10.1111/gcb.16497 |