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236 Titles Match Your Query
Showing 1 through 50 of 236 Next
1. LANDSAT User Service of the Brazilian National Institute on Space Research (INPE) [LSATUSERV]
The Brazilian receiving station for Landsat data is located in Cuiaba, state of Mato Grosso, Midwest region: 56 degrees 5 minutes 30 seconds West longitude, and 15 degrees ...


2. Alabama Cotton Data 1987-1988 from USDA ARS [Cotton_USDA_Alabama]
The U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


3. California Cotton Data 1984-1989 from the USDA [Cotton_USDA_California]
The U.S. Department of Agriculture (USDA) Agriculture Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton modeling development. ...


4. Louisiana Yield Only Cotton Data 1987-1989 From USDA ARS [Cotton_USDA_Louisiana]
The U.S. Department of Agriculture (USDA) Agriculture Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


5. Mississippi Cotton Data 1987-1991 from the USDA ARS [Cotton_USDA_Mississippi]
The U.S. Department of Agriculture (USDA) Agriculture Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


6. Missouri Cotton Data 1989 and 1991 from USDA ARS [COTTON_USDA_MISSOURI]
The U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


7. New Mexico Regional Variety Trials, Cotton Data 1988-1990 from USDA ARS [Cotton_USDA_NewMexico]
The U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


8. Tennessee Cotton Data 1989 from USDA ARS [Cotton_USDA_Tennessee]
The U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


9. Texas Cotton Data 1987-1994 from USDA ARS [Cotton_USDA_Texas]
The U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in Beltsville, Maryland has been working with various Universities collecting data for use with cotton model development. ...


10. Czarny Potok, Soil Organic Matter Experiment, Poland [ARK.Czarny]
This experiment began in 1968 on a natural grassland area of Poland. The site was arable crops to 1945 and later returned to grassland. The land use of this area is permanent meadow now. Treatments ...


11. Meckenheim II, Long Term Soil Organic Matter Study, Germany [ACI.Meckenheim]
This experiment began in 1958 at a site that has been in arable crops for more than 100 years. The climate of the site is cool temperate, with mean annual temperature of 9.1 deg. C, and Mean annual ...


12. IPCC Socio-Economic Baseline Dataset [CIESIN_SEDAC_IPCC_BASELINE]
The Intergovernmental Panel on Climate Change (IPCC) Socio-Economic Baseline Dataset consists of population, human development, economic, water resources, land cover, land use, agriculture, food, ...


13. 993 MWS test [993MWStest]
test


14. Effects of Climate Change on Global Food Production from SRES Emissions and Socioeconomic Scenarios [CIESIN_SEDAC_MVA_ECCGFPSRES]
Effects of Climate Change on Global Food Production from SRES Emissions and Socioeconomic Scenarios is an update to a major crop modeling study by the NASA Goddard Institute for Space Studies (GISS). ...


15. Potential Impacts of Climate Change on World Food Supply: Data Sets from a Major Crop Modeling Study [CIESIN_SEDAC_GISS_CROPCLIM_DB]
Datasets from a Major Crop Modeling Study contain projected country and regional changes in grain crop yields due to global climate change. Equilibrium and transient scenarios output from General ...


16. China Dimensions Data Collection: China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map [CIESIN_SEDAC_CD_CTY_POPAG_GIS]
China County-Level Data on Population (Census) and Agriculture, Keyed To 1:1M GIS Map consists of census, agricultural economic, and boundary data for the administrative regions of China for 1990. ...


17. China Dimensions Data Collection: China Maps Bibliographic Database [CIESIN_SEDAC_CD_MAPS_BIBDB]
China Maps Bibliographic Database is an historical collection of bibliographic information for more than 400 maps of China. The information resides in a searchable database and includes title, author/editor, ...


18. NASA Earth Science Decadal Survey Studies [Planning Stage] [NASA_Decadal_Survey_Place_Holder]
[These missions are in the planning stage. Please monitor the project web sites for mission updates] [Source: NASA's Science ...


19. Cereals - Area Harvested [geodata_2208]
Cereals also includes other cereals such as mixed grains and buckwheat. Crop production data refer to the actual harvested production from the field or orchard and gardens, excluding harvesting and ...


20. Food Supply Quantity - Cereals [geodata_2206]
Food: total calories Refers to the total amount of food available for human consumption expressed in kilocalories (kcal). Caloric content is derived by applying the appropriate food composition factors ...


21. Oil Palm Fruit - Area Harvested [geodata_2209]
Oil Palm Fruit: Elaeis guineensis. The oil palm produces bunches containing a large number of fruits with the fleshy mesocarp enclosing a kernel that is covered by a very hard shell. FAO considers ...


22. Rapeseed (Colza) - Area Harvested [geodata_2210]
Rapeseed: Brassica napus var. oleifera. Valued mainly for its oil. Older varieties are rich in Erucic acid, which is considered unhealthy.


23. Soybeans - Area Harvested [geodata_2211]
Soybeans: Glycine soja. The most important oil crop. Also widely consumed as a bean and in the form of various derived products because of its high protein content, e.g. soya milk, meat, etc.


24. Sugar Beet - Area Harvested [geodata_2212]
Sugar beet: Beta vulgaris var. altissima. In some producing countries, marginal quantities are consumed, either directly as food or in the preparation of jams.


25. Sugar Cane - Area Harvested [geodata_2213]
Sugar cane: Saccharum officinarum. In some producing countries, marginal quantities of sugar cane are consumed, either directly as food or in the form of juice.


26. Sunflower Seed - Area Harvested [geodata_2214]
Sunflower seed: Helianthus annuus. Valued mainly for its oil. Minor uses include as a human food and as feed for birds.


27. Radarsat-1 Scenes, Natural Resources Canada [CWIC_REG_Radarsat-1]
The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ...


28. Radarsat-2 Scenes, Natural Resources Canada [CWIC_REG]
The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ...


29. EarthTrends: The Environmental Information Portal [WRI_EarthTrends]
EarthTrends is an online collection of information regarding the environmental, social, and economic trends that shape our world. Committed to the principle that accurate information ...


30. Agricultural, Geographic and Population data for Counties in the Contiguous United States [EOSWEBSTER_US_County_Data]   CHILD DIFs
Annual crop data from 1972 to 1998 are now available on EOS-WEBSTER. These data are county-based acreage, production, and yield estimates published by the National Agricultural Statistics ...


31. Annual Crop Data for All Crop Varieties by US County [EOSWEBSTER_US_County_Data_2-3]   PARENT DIF
Two datasets in the EOS-WEBSTER US County Data Collection provide county-level data for crop acreage, production and yield statistics. Crop data for 22 different field crops were acquired from the ...


32. China County Data Collection, Crops Dataset [EOSWEBSTER_China_County_Data_2]   PARENT DIF
The Crops Dataset contains nineteen variables which represent different crops sown in China. For each crop (variable) the number of hectares of that crop sown are given. The following crops are ...


33. China County Data Collection, Land Use [EOSWEBSTER_China_County_Data_5]   PARENT DIF
The Land Use dataset contains three variables which help describe the agricultural land use for China counties. The three variables are: 1) Cropland area (hectares), 2) Pastureland and Grassland area ...


34. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Algeria [USGS_GEOGLAM_Algeria]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


35. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Argentina [USGS_GEOGLAM_Argentina]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


36. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Australia [USGS_GEOGLAM_Australia]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


37. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Ethiopia [USGS_GEOGLAM_Ethiopia]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


38. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Pakistan [USGS_GEOGLAM_Pakistan]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


39. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Russia [USGS_GEOGLAM_Russia]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


40. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Uganda [USGS_GEOGLAM_Uganda]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


41. USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Ukraine [USGS_GEOGLAM_Ukraine]
The objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through ...


42. Long Term Slurry on Grassland Experiment, Soil Organic Matter Network, Northern Ireland [DARD.Slurry]
This experiment was initiated in 1970 at a site that was originally temperate deciduous woodland. It then was an estate farm until the agricultural institute founded in 1926. The area ...


43. Potential Rainfed Food Production - Low Inputs [geodata_1394]
The potential food production in an area is indicated by the anticipated yield level calculated on the basis of a land class potential yield for low inputs and the extent of suitable land in the pixel.


44. Soil Production Index [geodata_1397]
The soil production index considers the suitability of the best adapted crop to each soil?s condition in an area and makes a weighted average for all soils present in a pixel based on the formula: ...


45. eMODIS [eMODIS1]
eMODIS products respond to specific land remote sensing community need for the benefits of MODIS data without the standard NASA packaging. eMODIS offers regionally based NDVI products in near-real ...


46. USGS JECAM Canada Red River [USGS_JECAM_Canada_Red_River]
Joint Experiment for Crop Assessment and Monitoring The overarching goal of JECAM is to reach a convergence of approaches, develop monitoring and reporting protocols and best practices for a variety ...


47. USGS JECAM Canada South Nation [USGS_JECAM_Canada_South_Nation]
Joint Experiment for Crop Assessment and Monitoring The overarching goal of JECAM is to reach a convergence of approaches, develop monitoring and reporting protocols and best practices for a variety ...


48. Cereals - Yield [geodata_0839]
Cereals also includes other cereals such as mixed grains and buckwheat. The data reported under this element represent the harvested production per unit of harvested area for crop products. In most ...


49. Plant, Deschampsia, King George Island, Antarctic [KPDC_PD_ANTARCTIC_2008]
Deschampsia antarctica is the only monocot that thrives in the tough conditions of the Antarctic region. It is an invaluable resource for the identification of genes associated with tolerance to various ...


50. Agricultural Production Index Base 1999-2001 - Total [geodata_0123]
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 1999-2001. They are based on ...


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