Global Airborne Observatory: Plot-level Forest Canopy Properties in Sabah, Malaysia
<p>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:</p> <p>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. <em>Communications Earth & Environment.</em></p> <p>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]. <em>Zenodo</em>. https://doi.org/10.5281/zenodo.7051897</p> <p>Data details:</p> <p>(1) Data cover the Danum and Sepilok sites as described in Ordway et al. (2022) <em>Communication Earth and Environment. </em>All data layers are presented in GeoTIFF format.</p> <p>(2) ACD = Aboveground carbon density in units of Mg C per hectare at 30 meter spatial resolution, as described in <em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em></p> <p>(3) LAD = Leaf area density in units of m2 per m3 at 50 meter spatial resolution.</p> <p>(4) chems = Leaf chemical traits at 4 meter spatial resolution, as described in <em>https://www.mdpi.com/2072-4292/10/2/199</em></p> <p>(5) TCH = top-of-canopy height in units of meters, as described in <em>https://www.sciencedirect.com/science/article/pii/S0006320717310790</em></p> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4