Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes

Estimated SOC loss based on the European Space Agency (ESA) Climate Change Initiative (ESACCI-LC) land cover maps 2001–2015. This only shows estimated SOC loss (in kg/m2) as a result of change in land use / land cover (assuming standard change factors based on the literature and IPCC reports). Metho...

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Main Authors: Ichsani Wheeler, Hengl, Tomislav
Format: Dataset
Language:English
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.2529721
https://zenodo.org/record/2529721
id ftdatacite:10.5281/zenodo.2529721
record_format openpolar
spelling ftdatacite:10.5281/zenodo.2529721 2023-05-15T14:15:35+02:00 Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes Ichsani Wheeler Hengl, Tomislav 2018 https://dx.doi.org/10.5281/zenodo.2529721 https://zenodo.org/record/2529721 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1475449 Open Access Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 info:eu-repo/semantics/openAccess CC-BY-SA LandGIS soil land cover soil carbon loss dataset Dataset 2018 ftdatacite https://doi.org/10.5281/zenodo.2529721 https://doi.org/10.5281/zenodo.1475449 2021-11-05T12:55:41Z Estimated SOC loss based on the European Space Agency (ESA) Climate Change Initiative (ESACCI-LC) land cover maps 2001–2015. This only shows estimated SOC loss (in kg/m2) as a result of change in land use / land cover (assuming standard change factors based on the literature and IPCC reports). Methodology produced for the purpose of the Land Degradation Neutrality (UNCCD) project. Processing steps are described in detail here . Antartica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..30cm = vertical reference: standard layer 0-30 cm below surface, 2014 = time reference: year 2014, v0.2 = version number: 0.2, : {"references": ["Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."]} Dataset antartic* DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic LandGIS
soil
land cover
soil carbon loss
spellingShingle LandGIS
soil
land cover
soil carbon loss
Ichsani Wheeler
Hengl, Tomislav
Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
topic_facet LandGIS
soil
land cover
soil carbon loss
description Estimated SOC loss based on the European Space Agency (ESA) Climate Change Initiative (ESACCI-LC) land cover maps 2001–2015. This only shows estimated SOC loss (in kg/m2) as a result of change in land use / land cover (assuming standard change factors based on the literature and IPCC reports). Methodology produced for the purpose of the Land Degradation Neutrality (UNCCD) project. Processing steps are described in detail here . Antartica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..30cm = vertical reference: standard layer 0-30 cm below surface, 2014 = time reference: year 2014, v0.2 = version number: 0.2, : {"references": ["Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."]}
format Dataset
author Ichsani Wheeler
Hengl, Tomislav
author_facet Ichsani Wheeler
Hengl, Tomislav
author_sort Ichsani Wheeler
title Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
title_short Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
title_full Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
title_fullStr Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
title_full_unstemmed Soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
title_sort soil organic carbon stock (0–30 cm) in kg/m2 time-series 2001–2015 based on the land cover changes
publisher Zenodo
publishDate 2018
url https://dx.doi.org/10.5281/zenodo.2529721
https://zenodo.org/record/2529721
genre antartic*
genre_facet antartic*
op_relation https://dx.doi.org/10.5281/zenodo.1475449
op_rights Open Access
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
cc-by-sa-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY-SA
op_doi https://doi.org/10.5281/zenodo.2529721
https://doi.org/10.5281/zenodo.1475449
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