[R-sig-Geo] Global potential natural vegetation at 1km?

[Bacou, Melanie]

In addition, you could also take a look at IIASA global data:
http://www.iiasa.ac.at/web/home/research/modelsData/models-tools-data.html
--Mel.

>
> Hi,
> About Vegetation can you use the Tree Cover map, develop by Hansen team.
>
> They use Landsat data to identify the tree cover coverage.
>
> The research was published in Science journal.
>
> Best
> Isaque
>
> https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.2.html
>
> Global Forest Change - 
> earthenginepartners.appspot.com<https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.2.html>
> earthenginepartners.appspot.com
> Global Forest Change 2000–2014 Data Download. Results from time-series 
> analysis of Landsat images in characterizing global forest extent and 
> change from 2000 ...
>
>
> ------------------------------------------------------------------------------------------------------------------
> Eng. Agr. Isaque Daniel Rocha Eberhardt
> Mestre em Sensoriamento Remoto - Instituto Nacional de Pesquisas 
> Espaciais (INPE)
> Doutorando em Transportes - Universidade de Bras??lia (UNB)
> Mobile: +55 (061) 99015658
> ------------------------------------------------------------------------------------------------------------------
> Agronomist engineer
> Master in Remote Sensing - National  Institute for Space Research 
> (INPE) - Brazil
> PHD Student in Transport - Bras??lia University (UNB)
>
> ________________________________
> De: R-sig-Geo <r-sig-geo-bounces at r-project.org> em nome de Tomislav 
> Hengl <tom.hengl at gmail.com>
> Enviado: quinta-feira, 29 de setembro de 2016 11:28
> Para: r-sig-geo at r-project.org
> Assunto: [R-sig-Geo] Global potential natural vegetation at 1km?
>
> Dear R-sig-geo,
>
> I have been looking for an existing map of global PNV (potential natural
> vegetation) that we could maybe use global soil / biomass modelling. So
> far, I noticed only two data sources that could provide compatible data:
>
> 1. Levavasseur et al. 2012
> (http://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019) uses
> [http://cdn.iopscience.com/images/1748-9326/7/4/044019/Full/erl434553f1_online.jpg]<http://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019>
>
> Statistical modelling of a new global potential vegetation 
> ...<http://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019>
> iopscience.iop.org
> The potential natural vegetation (PNV) distribution is required for 
> several studies in environmental sciences. Most of the available 
> databases are quite subjective or ...
>
>
> http://www.bridge.bris.ac.uk/resources/Databases/BIOMES_data data set
> BRIDGE - Bristol 
> University<http://www.bridge.bris.ac.uk/resources/Databases/BIOMES_data>
> www.bridge.bris.ac.uk
> 1: Vegetation maps for the Mid-holocene and last Glacial Maximum. The 
> Palaeovegetation Mapping Project (generally known as BIOME 6000: 
> Prentice and Webb, 1998) was ...
>
>
> for model training,
>
> 2. Tian et al. 2015
> (http://www.nature.com/nature/journal/v531/n7593/full/nature16946.html)
> The terrestrial biosphere as a net source of greenhouse 
> ...<http://www.nature.com/nature/journal/v531/n7593/full/nature16946.html>
> www.nature.com
> The terrestrial biosphere can release or absorb the greenhouse gases, 
> carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), and 
> therefore has an important role ...
>
> However, both maps seem to refer to very coarse resolutions 10-50 km and
> I would prefer to use 1 km resolution data (not to mention that the
> legends are a mixture of general vegetation groups / vegetation-climate
> groups). For USA, much more detailed natural vegetation map is available
> (https://databasin.org/datasets/1c7a301c8e6843f2b4fe63fdb3a9fe39), but I
> U.S. Potential Natural Vegetation, Original Kuchler Types 
> ...<https://databasin.org/datasets/1c7a301c8e6843f2b4fe63fdb3a9fe39>
> databasin.org
> U.S. Potential Natural Vegetation, Original Kuchler Types, v2.0 
> (Spatially Adjusted to Correct Geometric Distortions)
>
> guess nothing comparable is available for the whole world? Are you maybe
> aware of any such global maps representing e.g. plant communities
> (https://www.wikiwand.com/en/Plant_community)?
>
> I might just try myself to derive global potential vegetation (plant
> communities) using e.g. GBIF data or the BIOME 6000 data and
> environmental covariates at 1 km. At least the training data seems to be
> available for modeling.
>
> If you are aware of any similar project / initiative / data set please
> let me know.
>
> --
> T. (Tom) Hengl
> Researcher @ ISRIC - World Soil Information
> Url: http://www.wageningenur.nl/en/Persons/dr.-T-Tom-Hengl.htm
> <http://www.wageningenur.nl/en/Persons/dr.-T-Tom-Hengl.htm>
> Network: http://profiles.google.com/tom.hengl
> <http://profiles.google.com/tom.hengl>
> Publications: http://scholar.google.com/citations?user=2oYU7S8AAAAJ
> <http://scholar.google.com/citations?user=2oYU7S8AAAAJ>
> ORCID ID: http://orcid.org/0000-0002-9921-5129
> <http://orcid.org/0000-0002-9921-5129>

-- 
Melanie BACOU
International Food Policy Research Institute
Snr. Program Manager, Spatial Data and Analytics
Work   +1(202)862-5699
E-mail m.bacou at cgiar.org
Visit  www.harvestchoice.org