The following 9 publications cited the product GEDI L4A Footprint Level Aboveground Biomass Density, Version 1.
| Year | Citation |
|---|---|
| 2024 | Bourgoin, C., G. Ceccherini, M. Girardello, C. Vancutsem, V. Avitabile, P.S.A. Beck, R. Beuchle, L. Blanc, G. Duveiller, M. Migliavacca, G. Vieilledent, A. Cescatti, and F. Achard. 2024. Human degradation of tropical moist forests is greater than previously estimated. Nature. 631(8021):570-576. https://doi.org/10.1038/s41586-024-07629-0 |
| 2024 | Jha, N., S.P. Healey, Z. Yang, G. Stĺhl, and M.G. Betts. 2024. Vicarious calibration of GEDI biomass with Landsat age data for understanding secondary forest carbon dynamics. Environmental Research Letters. 19(4):044062. https://doi.org/10.1088/1748-9326/ad3661 |
| 2024 | May, P.B., R.O. Dubayah, J.M. Bruening, and G.C. Gaines. 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. https://doi.org/10.1016/j.jag.2024.103797 |
| 2023 | Choi, 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. https://doi.org/10.1109/JSTARS.2023.3302026 |
| 2023 | Holcomb, A., S.V. Mathis, D.A. Coomes, and S. Keshav. 2023. Computational tools for assessing forest recovery with GEDI shots and forest change maps. Science of Remote Sensing. 8:100106. https://doi.org/10.1016/j.srs.2023.100106 |
| 2023 | Hunka, N., M. Santoro, J. Armston, R. Dubayah, R.E. McRoberts, E. Nćsset, S. Quegan, M. Urbazaev, A. Pascual, P.B. May, D. Minor, V. Leitold, P. Basak, M. Liang, J. Melo, M. Herold, N. Málaga, S. Wilson, P. Durán Montesinos, A. Arana, R. Ernesto De La Cruz Paiva, J. Ferrand, S. Keoka, J. Guerra-Hernández, and L. Duncanson. 2023. On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake. Environmental Research Letters. 18(12):124042. https://doi.org/10.1088/1748-9326/ad0b60 |
| 2023 | Liang, 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. https://doi.org/10.1016/j.rse.2022.113367 |
| 2023 | Nathaniel, J., G. Nyirjesy, C.D. Watson, C.M. Albrecht, and L.J. Klein. 2023. Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. https://doi.org/10.1109/IGARSS52108.2023.10282838 |
| 2022 | Vangi, 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. https://doi.org/10.1007/s12145-022-00915-3 |