January 29, 2021 Dataset Open Access

Kern, Stefan

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{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.8561","@type":"Dataset","about":[{"@id":"https://www.oecd.org/science/inno/38235147.pdf","@type":"CreativeWork"},{"@id":"https://www.oecd.org/science/inno/38235147.pdf","@type":"CreativeWork"}],"citation":[{"@id":"https://lpdaac.usgs.gov/products/mod44bv006/","@type":"CreativeWork"}],"contributor":[{"@type":"Person","affiliation":"Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany","name":"Sadikni, Remon"},{"@type":"Person","affiliation":"Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany","name":"Jahnke-Bornemann, Annika"}],"creator":[{"@id":"https://orcid.org/0000-0001-7281-3746","@type":"Person","affiliation":"Integrated Climate Data Center (ICDC), Center for Earth System Research and Sustainability (CEN), University of Hamburg, Hamburg, Germany","name":"Kern, Stefan"}],"datePublished":"2021-01-29","description":"<p><strong>Abstract:</strong> NetCDF files of the forest cover fraction, vegetation cover fraction and fraction of non-vegetated area on 250m grid resolution sinusoidal grid generated at ICDC from the original HDF files obtained from <a href=\"https://lpdaac.usgs.gov/mod44bv006/\">https://lpdaac.usgs.gov/mod44bv006/</a> are used to compute globally gridded maps of these parameters at 0.5 degree grid resolution on an equi-rectangular climate modeling grid (CMG). The global maps contain the grid-cell mean fractions of the three mentioned parameters, their variance within the grid cells, and - for the forest cover fraction - the grid-cell mean standard deviation. In addition, the data set includes maps of the number of valid forest cover fraction values at 250 m resolution per 0.5 degree grid cell, a grid cell mean quality flag and fractions of the two most abundant quality flags (primary and secondary). Generally all valid data are used; the user is advised to check the quality flags to eventually discard data of low quality.</p>\n\n<p><strong>TableOfContents:</strong> grid cell mean forest cover fraction; grid cell mean forest cover fraction standard deviation; forest cover fraction variance within grid cell; grid cell mean vegetation cover fraction; vegetation cover fraction variance within grid cell; non-vegetated area cover fraction; non-vegetated area cover fraction variance within grid cell; number of useful vegetation cover fraction values per grid cell; grid cell mean quality flag; primary quality flag fraction; secondary quality flag fraction</p>\n\n<p><strong>Technical Info:</strong> dimension: 720 columns x 360 rows x unlimited; temporalExtent_startDate: 2000-03-05; temporalExtent_endDate: 2020-03-04; temporalResolution: yearly; spatialResolution: 0.5; spatialResolutionUnit: degrees; horizontalResolutionXdirection: 0.5; horizontalResolutionXdirectionUnit: degrees; horizontalResolutionYdirection: 0.5; horizontalResolutionYdirectionUnit: degrees; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: MODerate Resolution Spectroradiometer (MODIS); instrumentType: visible_to_infrared_spectroradiometer; instrumentLocation: Earth Observation Satellite (EOS) Terra; instrumentProvider: NOAA/NASA</p>\n\n<p><strong>Methods:</strong> [1] <a href=\"https://lpdaac.usgs.gov/products/mod44bv006/\">https://lpdaac.usgs.gov/products/mod44bv006/</a>; [2] Townshend, J., et al., User Guide for the MODIS Vegetation Continuous Fields product Collection 6, verison 1, <a href=\"https://lpdaac.usgs.gov/documents/112/MOD44B_User_Guide_V6.pdf\">https://lpdaac.usgs.gov/documents/112/MOD44B_User_Guide_V6.pdf</a>; [3] Algorithm Theoretical Basis Document (ATBD), <a href=\"https://lpdaac.usgs.gov/documents/113/MOD44B_ATBD.pdf\">https://lpdaac.usgs.gov/documents/113/MOD44B_ATBD.pdf</a>; [4] Carroll, M., et al., 2011. Vegetative Cover Conversion and Vegetation Continuous Fields. In: Ramachandran, B., C. O. Justice, and M. Abrams (eds.), Land Remote Sensing and Global Environment Change: NASA&#39;s Earth Observing System and the Science of ASTER and MODIS. Springer Verlag.; [5] Hansen, M., et al., 2005. Estimation of tree cover using MODIS data at global, continental and regional/local scales. Int. J. Rem. Sens., 26(19), 4359-4380.</p>\n\n<p><strong>Units:</strong> Units for all variables (see TableOfContents): percent; percent; 1; percent; 1; percent; 1; 1; 1; 1; 1</p>\n\n<p><strong>geoLocations:</strong> westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: -90.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: global on land</p>\n\n<p><strong>Size:</strong> 1 file per year, 2001-2018: 5197276 bytes, 2019: 5197696 bytes; all packed into one zip-archive</p>\n\n<p><strong>Format:</strong> netCDF</p>\n\n<p><strong>DataSources:</strong></p>\n\n<p>Original data on sinusoidal grid tiles in hdf-format: <a href=\"https://doi.org/10.5067/MODIS/MOD44B.006\">https://doi.org/10.5067/MODIS/MOD44B.006</a> (last accessed 2020-12-14), see also <a href=\"https://lpdaac.usgs.gov/products/mod44bv006/\">https://lpdaac.usgs.gov/products/mod44bv006/</a> (last accessed: 2020-12-14)</p>\n\n<p>Reprocessed data on sinusoidal grid tiles in netCDF format: <a href=\"https://icdc.cen.uni-hamburg.de/en/modis-vcf-forest.html\">https://icdc.cen.uni-hamburg.de/en/modis-vcf-forest.html</a> (last accessed 2021-01-20)</p>\n\n<p><strong>Contact:</strong> <a href=\"mailto:stefan.kern@uni-hamburg.de\">stefan.kern (at) uni-hamburg.de</a></p>\n\n<p><strong>Web page:</strong> <a href=\"https://icdc.cen.uni-hamburg.de/en/modis-vcf-forest.html\">https://icdc.cen.uni-hamburg.de/en/modis-vcf-forest.html</a></p>","distribution":[{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/626707fb-27ab-4825-a015-e8c586404d51/00_MODIS_ForestCoverFraction_global_0.5deg_2019_UHH-ICDC.gif","encodingFormat":"gif"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/626707fb-27ab-4825-a015-e8c586404d51/MODIS_C6_ForestandVegetationCoverFraction_global_0.5deg_v01.xml","encodingFormat":"xml"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/626707fb-27ab-4825-a015-e8c586404d51/MODIS_TERRA_C6_MOD44B__ForestCoverFraction__LPDAAC__GLOBAL__0.5degree__UHH-ICDC__2000-2019__fv0.02.nc.zip","encodingFormat":"zip"}],"identifier":"http://doi.org/10.25592/uhhfdm.8561","inLanguage":{"@type":"Language","alternateName":"eng","name":"English"},"keywords":["Climate Research","Forest Cover Fraction","Vegetation Cover Fraction","Global maps","Yearly","Satellite Remote Sensing","MODIS","EOS-Terra","University of Maryland","ICDC"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"MODIS Collection 6 global yearly Forest and Vegetation Cover Fraction","url":"https://www.fdr.uni-hamburg.de/record/8561","version":"2019_fv0.02"}