Global Savanna-Forest Classification with covariates
http://rdp.utas.edu.au/metadata/f221d93b-dfc6-4203-a480-31e836a0a8ef
- Creators:
- Grant Williamson (0000-0002-3469-7550)
- Co-Creators:
- David Tng (0000-0001-5135-0922)
Biological Sciences
This work is licensed under a Creative Commons Attribution - NonCommercial - Share Alike (BY - NC - SA) 4.0 International License.
fire
savanna
forest
satellite
Dataset containing classification of random tropical point into forest, savanna or urban, with associated climate covariates (precipitation, temperature, human influence, topography, fire).
2010
– 2021
Manual classification of Google Earth satellite imagery into forest, savanna, urban and arid categories, joined to fire, bioclimatic, topographical and human influence datasets.
310308 Terrestrial ecology
310402 Biogeography and phylogeography
370299 Climate change science not elsewhere classified
190401 Climatological hazards (e.g. extreme temperatures, drought and wildfires)
Williamson, G, Tng, D
(2023)
Data from: Global Savanna-Forest Classification with covariates. https://dx.doi.org/10.25959/czve-y481
10.25959/czve-y481 (DataCite reference)
Harko Werkman (0000-0001-5603-5024)
25-May-2023