1,184 results returned
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Title: Bunken Edo ōezu: zen; [Ochikochi Dōin]; On Seiken jo.
- Not specified
- 1712
- Not owned by MIT (Owned by University of Michigan)
Summary: Cover title. Woodblock print on Japanese paper. Oriented with north to the right. Relief and selected temples shown pictorially. Based on original map by Ochikochi Dōin. Daimyo land ownership shown with ceremonial halberds. 1 map: hand col.; 133 x 177 cm., folded in covers 28 x 19 cm.
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Title: Bunken Edo ōezu: zen; [Ochikochi Dōin]; On Seiken jo.
- Not specified
- 1710
- Not owned by MIT (Owned by University of Michigan)
Summary: Title from cover of 1712 ed. Woodblock print on Japanese paper, worm-eaten. Oriented with north to the right. Relief and selected temples shown pictorially. Based on original map by Ochikochi Dōin. Daimyo land ownership shown with ceremonial halberds. 1 map: hand col.; 136 x 177 cm., folded to 29 x 21 cm.
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Title: Exhibit "B"
- Not specified
- 1906
- Not owned by MIT (Owned by Michigan State University)
- Metcalf, Victor Howard
- 1853-1936
- United States. Congress (59th, 2nd session : 1906-1907). Senate
- United States
- Congress
- Senate
- Committee on Foreign Relations
- San Francisco Earthquake and Fire (California : 1906)
Summary: Extent: 1 map Notes: Map detached from "Message from the President of the United States, transmitting the final report of Secretary Metcalf on the situation affecting the Japanese in the City of San Francisco, Cal.," issued as a U.S. Senate document (Serial Set 5070 S.doc.147), December 18, 1906. Shows location of "The Oriental School"; locations of "schools the Japanese pupils attended" prior to a Board of Education order of October 11, 1906, transferring them to the "Oriental School" in the burned area of the city; and residences of pupils, with the number of pupils given for each school and residence. Portion of title supplied by cataloger, derived from text on page 5 of the Senate document from which the map was extracted. Scale not given
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Title: Map of the state of Colorado
- Not specified
- 1902
- Not owned by MIT (Owned by Michigan State University)
- United States
- General Land Office
- King, Harry (Draftsman)
- Dinsmore, A. F.
- Hendges, M.
- United States. Congress (57th, 1st session : 1901-1902). Senate
- Congress
- Senate
- Committee on Indian Affairs
- Friedenwald Co.
Summary: Extent: 1 map Abstract: Map of Colorado showing land grants, forest reserves, railroads, land offices, etc. Notes: Relief shown by shading. Map detached from a United States Senate document in the United States congressional serial set (Serial Set 4220 S.doc.34): Letter from the Secretary of the Interior, transmitting a report of the Commissioner of Indian Affairs and accompanying draft of a bill providing for an appropriation to compensate the Confederated Bands of Ute Indians for the lands of their reservation in Colorado. Scale 1:760,320 1 in. = 12 miles
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Title: North America : time for a new focus
- Image data
- 2014
- Not owned by MIT (Owned by Princeton)
Summary: Printed from the PDF.
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Title: The Nighttime Lights of the World
- Not specified
- 1997
- Not owned by MIT (Owned by Stanford)
- National Geophysical and Solar-Terrestrial Data Center
- United States National Oceanic and Atmospheric Administration
- United States Group on Earth Observations
Summary: The Nighttime Lights of the World dataset contains the first satellite-based global inventory of human settlements, derived from nighttime data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). The DMSP-OLS has the unique capability to observe faint sources of visible-near infrared emissions present at the Earth's surface, including cities, towns, villages, gas flares, and fires. NGDC has developed algorithms for producing georeferenced fire and nighttime lights prod System requirements: Geographic Information Systems (GIS) software that reads ESRI shapefile format.
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Title: Kapok Seeds, Harvested Area (Hectares), 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset depicts the average number of hectares per land-area of a gridcell for kapok seed crops. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Rapeseeds, Harvested Area (Hectares), 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset depicts the average number of hectares per land-area of a gridcell for rapeseeds crops. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Abaca Fiber, Average Yield, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the average yield for abaca fiber crops in tons per hectare. Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Walnuts, Harvested Area Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for harvested areas of walnut crops. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Oranges, Crop Yield Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for orange crop yields. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Pineapple, Average Yield, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the average yield for pineapple crops in tons per hectare. Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Lettuce, Harvested Area Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for harvested areas of lettuce crops. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Agaves, Average Yield, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the average yield for agave crops in tons per hectare. Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Lupins, Harvested Area Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for harvested areas of lupin crops. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: String Beans, Harvested Area (Fractional), 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset depicts the average fractional proportion of a gridcell for green bean crops that were harvested circa 2000. Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Agaves, Crop Yield Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for agave crop yields. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Berries, Harvested Area (Fractional), 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset depicts the average fractional proportion of a gridcell for berry crops (not elsewhere specified) that were harvested circa 2000. Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Peas, Harvested Area Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for harvested areas of pea crops. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
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Title: Turnips, Crop Yield Data Quality, 2000
- Raster data
- 2008
- Not owned by MIT (Owned by Stanford)
Summary: This raster dataset represents the agricultural census data quality for turnip forage crop yields. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003. EarthStat.org serves geographic data sets with the purpose of solving the grand challenge of feeding a growing global population while reducing agriculture’s impact on the environment. The data sets on EarthStat allow users to map the distribution of crops globally, analyze the impact of climate change on crop yields, understand the impacts of fertilizer and manure use and much more. Monfreda, C., N. Ramankutty, and J.A. Foley (2008), Farming the planet 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogrochem. Cycles, 22, GB1022, doi: 10.1029/2007/GB002947. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.