Harvested Area and Yields of 175 crops (M3-Crops Data)
Navin Ramankutty
McGill University, Montreal, Quebec
Land Use and Global Environmnet Lab (LUGE)
TECHNICAL CONTACT
Navin
Ramankutty
navin.ramankutty at mcgill.ca
EARTH SCIENCE
Agriculture
Crop Production
Crop Yields
Land Resource Management
Land Use
Land Cover
Farming
Harvest Area
Cereals
Fibers
Forage
Fruits
Global Land Cover
Grains
Oil Crops
Pulses
Roots and Tubers
Sugar Crops
Tree Nuts
Vegetables
Agricultural Censuses
2000-01-01
2000-12-31
CONTINENT
AFRICA
CONTINENT
ASIA
CONTINENT
AUSTRAILA
CONTINENT
EUROPE
CONTINENT
NORTH AMERICA
CONTINENT
SOUTH AMERICA
This data collection is composed of land use data sets, generated by combining national, state, and county level census statistics along with a global data set of croplands from countries around the world for the year 2000. The resulting land use data sets depict circa the year 2000 the area(harvested) and yield of 175 distinct crops of the world
The data are provided in NetCDF and ArcGIS ASCII format at 5 minute resolution in latitude by longitude. The NetCDF files have 4 levels (ArcGIS files only have the 1st two levels; contact the "technical contact" if you want the other two levels), as follows: Level 1 = Harvested Area (unit = proportion of grid cell area). Note that values can be greater than 1.0 because of multiple cropping. Level 2 = Yield (unit = tons per ha). Levels 3 and 4 = Administrative levels from which the source data in levels 1 and 2 come from respectively. In levels 3 and 4, a value of 1 = county; .75 = state; .5 = interpolated from within 2 degrees lat/long; .25 = country; 0 = missing.
The data are more fully described in the following article: Monfreda et al. (2008), "Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000", Global Biogeochemical Cycles, Vol.22, GB1022, doi:10.1029/2007GB002947
Drought Research initiative Network (driNET)
http://drinet.hubzero.net
FAOSTAT statstical databases
Australian Bureau of Statistics(ABS)
Biggs, R., and R. Scholes (2002), Land-cover changes in South Africa 1911– 1993, S. Afr. J. Sci., 98, 420–424.
Bouzaher, A., A. Carriquiry, and H. Jensen (1994), The Structure of Ukrainian Agriculture: Comparative Efficiency and Implications for Policy Reform, Cent. for Agricul. and Rural Dev., 115 pp., Iowa State Univ., Ames, Iowa
Chinese Academy of Sciences (CAS)
Central Statistical Analysis (Ethiopia)
Datanet India
Executive Yuan (Taiwan)
Goskom Rossiiskoi Federatsii po Statistike
Gosudarstveni Committet Kazahskoi SSR po Statistike
Instituto Brasiliero de Geografı´a e Estatı´stica (IBGE)
Instituto Nacional de Estadı´stica y Censos (INDEC)
Instituto Nacional de Estadı´stica Geografı´a e Informa´tica(INEGI)
Malaysian Palm Oil Board
Pitono (Indonesia)
Servicio de Informacio´n Agroalimentaria y Pesquera (SIAP)
Statistics Canada
Statistics South Africa
USDA
World Resources Institute(WRI)
CEOS IDN DIF
VERSION 9.8.2
2011-11-05
2012-02-20