Data from paper: "Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates"
Authors/Creators
- 1. INPE - National Institute for Space Research
- 2. GeoProcessing Division, Foundation for Science, Technology and Space Applications - FUNCATE
- 3. School of Geography, University of Leeds
- 4. School of Geography, Earth and Environmental Sciences, University of Birmingham
Description
Data from the paper:
Dalagnol, R. et al. Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates. Sci Rep 11, 1388 (2021). https://doi.org/10.1038/s41598-020-80809-w
Link: https://www.nature.com/articles/s41598-020-80809-w
This repository contains:
1) Data frame with data from static and dynamic gaps used in Figure 2 (Dalagnol_2020_Data_Multitemporal_gaps.csv). Each row is the aggregated measurement at 5-km resolution. The site component referes to the five site studied with multitemporal data. Site order from 1 to 5 is DUC, TAP, FN1, BON and TAL.
2) Data frame with data from static gaps and environmental factors used in Table 1, Figure 3, 4, 5 (Dalagnol_2020_Data_Singledate_gaps_Modeling.csv). Each row is the aggregated measurement of one site observed by airborne lidar data.
3) Raster file at 5-km resolution with dynamic gap fraction estimates presented in Figure 5 (dynamic_gap_fraction_amazon.tif).
If you need anything else, please contact the corresponding author: Ricardo Dalagnol (ricds@hotmail.com).
Files
Dalagnol_2020_Data_Multitemporal_gaps.csv
Additional details
References
- Dalagnol, R. et al. Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates. Sci Rep 11, 1388 (2021). https://doi.org/10.1038/s41598-020-80809-w