Data

Global 30s resolution land use for 2005

Commonwealth Scientific and Industrial Research Organisation
Hoskins, Andrew ; Bush, Alex ; Gilmore, James ; Harwood, Tom ; Ware, Chris ; Williams, Kristen ; Ferrier, Simon
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/56DCD9249B224&rft.title=Global 30s resolution land use for 2005&rft.identifier=https://doi.org/10.4225/08/56DCD9249B224&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=A global map of 5 land use types at 30s (approx. 1km) resolution for 2005. The data set was generated through the statistical downscaling of the Land-use Harmonisation data set (Hurt et al 2011) at http://luh.umd.edu/. Five land use types (primary, secondary, pasture, crop, urban) are provided as separate raster layers, with the value of each cell representing the proportion of the grid cell occupied by that land use type. An additional layer representing cells defined as permanent ice (value of 1) is also provided.\nLineage: Statistical downscaling was based on the following global raster layers:\n\nCoarse Scale Land -Use: 2005 data layer of five land-use classes from the world Harmonised Land Use database.\n\nInput covariates:-\nACC.flt : Global Accessibility Index. The travel time to the nearest population centre of 50,000 or more.\nEARS.flt : MOD16 data set gap filled with Annual Actual Evaporations calculated as the sum of monthly EA derived using the Budkyo framework based on WorldClim climatic data, using PAWHC calculated from 1km Soil Depth from www.soilgrids.org combined with AWC from the Harmonised World Soil Database.\nMAT.flt: Mean Annual Temperature with maximum and minimum temperature corrected for radiation differences due to variation in terrain based on Danielson and Dean (2011) following Wilson and Gallant (2000).\nPTA.flt: Annual precipitation. Sum of monthly precipitation from WorldClim.\nTWI.flt: Topographic Wetness Index. Calculated at 9 s and upscaled to 1 km.\nICE.flt: Presence of permanent ice.\nSLP.flt: Slope calculated at 9 s and upscaled to 1 km.\nSOC.flt: Soil Organic Carbon content. Weighted average of all depth classes.\nWATER.flt: Presence of permanent water bodies.\nPOP.flt: Population density.\nCLC.flt: Consensus land-cover. 1 km land-cover product made by harmonising multiple products.\n&rft.creator=Hoskins, Andrew &rft.creator=Bush, Alex &rft.creator=Gilmore, James &rft.creator=Harwood, Tom &rft.creator=Ware, Chris &rft.creator=Williams, Kristen &rft.creator=Ferrier, Simon &rft.date=2016&rft.edition=v3&rft.relation=http://onlinelibrary.wiley.com/doi/10.1002/ece3.2104/full&rft.coverage=westlimit=-180.0; southlimit=-60.0; eastlimit=180.0; northlimit=90.0; projection=WGS84&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2015.&rft_subject=Land Use&rft_subject=cropping&rft_subject=global&rft_subject=pasture&rft_subject=primary habitat&rft_subject=secondary habitat&rft_subject=urban&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Environmental assessment and monitoring&rft.type=dataset&rft.language=English Access the data

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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

A global map of 5 land use types at 30s (approx. 1km) resolution for 2005. The data set was generated through the statistical downscaling of the Land-use Harmonisation data set (Hurt et al 2011) at http://luh.umd.edu/. Five land use types (primary, secondary, pasture, crop, urban) are provided as separate raster layers, with the value of each cell representing the proportion of the grid cell occupied by that land use type. An additional layer representing cells defined as permanent ice (value of 1) is also provided.
Lineage: Statistical downscaling was based on the following global raster layers:

Coarse Scale Land -Use: 2005 data layer of five land-use classes from the world Harmonised Land Use database.

Input covariates:-
ACC.flt : Global Accessibility Index. The travel time to the nearest population centre of 50,000 or more.
EARS.flt : MOD16 data set gap filled with Annual Actual Evaporations calculated as the sum of monthly EA derived using the Budkyo framework based on WorldClim climatic data, using PAWHC calculated from 1km Soil Depth from www.soilgrids.org combined with AWC from the Harmonised World Soil Database.
MAT.flt: Mean Annual Temperature with maximum and minimum temperature corrected for radiation differences due to variation in terrain based on Danielson and Dean (2011) following Wilson and Gallant (2000).
PTA.flt: Annual precipitation. Sum of monthly precipitation from WorldClim.
TWI.flt: Topographic Wetness Index. Calculated at 9 s and upscaled to 1 km.
ICE.flt: Presence of permanent ice.
SLP.flt: Slope calculated at 9 s and upscaled to 1 km.
SOC.flt: Soil Organic Carbon content. Weighted average of all depth classes.
WATER.flt: Presence of permanent water bodies.
POP.flt: Population density.
CLC.flt: Consensus land-cover. 1 km land-cover product made by harmonising multiple products.

Available: 2016-04-04

Data time period: 2005-01-01 to 2005-01-01

180,86 180,-60 0,-60 -180,-60 -180,86 0,86 180,86

0,15

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