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Plot-level mapping data derived from the Global Airborne Observatory mission in Sabah (Borneo), Malaysia in 2016. Use of these data requires citation of this publication as well as this dataset as follows: Ordway E.M., G.P. Asner, D. Burslem, S. Lewis, R. Martin, R. Nilus, M.J. O’Brien, O. Phillips, L. Qie, N.R. Vaughn, and P.R. Moorcroft. 2022. Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits. Communications Earth & Environment. Asner, G.P., E. Ordway, J. Heckler, and N.R. Vaughn. 2022. Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7051897 Data details: (1) Data cover the Danum and Sepilok sites as described in Ordway et al. (2022) Communication Earth and Environment. All data layers are presented in GeoTIFF format. (2) ACD = Aboveground carbon density in units of Mg C per hectare at 30 meter spatial resolution, as described in https://www.sciencedirect.com/science/article/pii/S0006320717310790 (3) LAD = Leaf area density in units of m2 per m3 at 50 meter spatial resolution. (4) chems = Leaf chemical traits at 4 meter spatial resolution, as described in https://www.mdpi.com/2072-4292/10/2/199 (5) TCH = top-of-canopy height in units of meters, as described in https://www.sciencedirect.com/science/article/pii/S0006320717310790
tropical forest, leaf traits, forest carbon, Borneo, Malaysia, canopy traits, Global Airborne Observatory
tropical forest, leaf traits, forest carbon, Borneo, Malaysia, canopy traits, Global Airborne Observatory
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