GLC2000: a new approach to global land cover mapping from Earth observation data

A new global land cover database for the year 2000 (GLC2000) has been produced by an international partnership of 30 research groups coordinated by the European Commission's Joint Research Centre. The database contains two levels of land cover information—detailed, regionally optimized land cover legends for each continent and a less thematically detailed global legend that harmonizes regional legends into one consistent product. The land cover maps are all based on daily data from the VEGETATION sensor on‐board SPOT 4, though mapping of some regions involved use of data from other Earth observing sensors to resolve specific issues. Detailed legend definition, image classification and map quality assurance were carried out region by region. The global product was made through aggregation of these. The database is designed to serve users from science programmes, policy makers, environmental convention secretariats, non‐governmental organizations and development‐aid projects. The regional and global data are available free of charge for all non‐commercial applications from http://www.gvm.jrc.it/glc2000.

[1]  J. Shukla,et al.  Amazon Deforestation and Climate Change , 1990, Science.

[2]  Steven W. Running,et al.  A vegetation classification logic-based on remote-sensing for use in global biogeochemical models , 1994 .

[3]  G. Dedieu,et al.  SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum , 1994 .

[4]  H. Mooney,et al.  Modeling the Exchanges of Energy, Water, and Carbon Between Continents and the Atmosphere , 1997, Science.

[5]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[6]  A. Belward,et al.  The IGBP-DIS global 1km land cover data set, DISCover: First results , 1997 .

[7]  Limin Yang,et al.  An analysis of the IGBP global land-cover characterization process , 1999 .

[8]  M. Hansen,et al.  The DISCover validation image interpretation process , 1999 .

[9]  D. Fuster,et al.  VEGETATION geometrical image quality , 2000 .

[10]  W. Verhoef,et al.  Reconstructing cloudfree NDVI composites using Fourier analysis of time series , 2000 .

[11]  Patrice J. Henry,et al.  Vegetation MTF in-flight measurement using HRVIR , 2000, SPIE Optics + Photonics.

[12]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[13]  James J. Duderstadt,et al.  New Roles for the 21st-Century University. , 2000 .

[14]  X. Passot.  VEGETATION image processing methods in the CTIV , 2000 .

[15]  A. D. Gregorio,et al.  Land Cover Classification System (LCCS): Classification Concepts and User Manual , 2000 .

[16]  Trevor Platt,et al.  Primary productivity of planet earth: biological determinants and physical constraints in terrestrial and aquatic habitats , 2001 .

[17]  Frédéric Achard,et al.  Tropical forest mapping from coarse spatial resolution satellite data: Production and accuracy assessment issues , 2001 .

[18]  M. LEDWITH.  Land cover classification using SPOT Vegetation 10-day composite images – Baltic Sea catchment basin , 2002 .

[19]  W. Mcconnell.  Meeting in the middle: The challenge of meso-level integration , 2002 .

[20]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[21]  J. Pereira,et al.  Multi-temporal compositing approaches for SPOT-4 VEGETATION , 2003 .

[22]  R. Fisher.  Unasylva—An International Journal of Forestry and Forest Industries 1947–2000 , 2003 .

[23]  A. S. Belward,et al.  A new SPOT4-VEGETATION derived land cover map of Northern Eurasia , 2003 .

[24]  Pawan Kumar Joshi,et al.  SPOT vegetation multi temporal data for classifying vegetation in south central Asia , 2003 .

[25]  Rasim Latifovic,et al.  Thematic mapper (TM) based accuracy assessment of a land cover product for Canada derived from SPOT VEGETATION (VGT) data , 2003 .

[26]  Steffen Fritz,et al.  Harmonisation, mosaicing and production of the Global Land Cover 2000 database (Beta Version) , 2003 .

[27]  S. Fritz,et al.  A land cover map of South America , 2004 .

[28]  David M. Wilkinson,et al.  The parable of Green Mountain: Ascension Island, ecosystem construction and ecological fitting , 2004 .

[29]  R. Latifovic,et al.  Land cover mapping of North and Central America—Global Land Cover 2000 , 2004 .

[30]  S. Fritz,et al.  A new land‐cover map of Africa for the year 2000 , 2004 .

[31]  Kyung-Soo Han,et al.  A land cover classification product over France at 1 km resolution using SPOT4/VEGETATION data , 2004 .

[32]  Alan H. Strahler,et al.  Validation of the global land cover 2000 map , 2006, IEEE Transactions on Geoscience and Remote Sensing.