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Agriculture Production Data Access and Tools
NASA’s end-to-end Earth observations enable agricultural producers to make informed decisions about global market conditions, in-season crop conditions, severe weather, and sustainability. Explore datasets related to agriculture production and the related tools that can help you make the most of your data.
Agriculture Production Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| AppEEARS | The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. | Search and Discovery, Subsetting, Customization, Downloading, Visualization | |
| Panoply | Panoply is a cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. | Visualization, Customization, Reformatting, Subsetting, Comparison | |
| POWER DAV | The POWER project’s Data Access Viewer (DAV) is an interactive web-mapping application that provides access to NASA’s customized solar and meteorological data catalog. | Analysis, Downloading, Subsetting, Visualization | |
| TESViS | The Terrestrial Ecology Subsetting & Visualization Services Global Subsets Tool provides on-demand, customized subsets of several terrestrial ecology data products. | Visualization, Subsetting |
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Featured Agriculture Production Observation Method: SMAP
NASA's Soil Moisture Active-Passive (SMAP) satellite measures surface soil conditions everywhere on Earth every two to three days, distinguishing between ground that is frozen or thawed. In ground that is not frozen or covered in water, SMAP measures how much water is in the top layer of soil.
GIBS now has Soil Moisture Active Passive (SMAP) layers available for soil moisture and temperature, snow mass, heterotrophic respiration, and more.
NASA's SMAP team turns raw satellite data into more than a dozen data products for data users around the world.
9 MIN READ
Four Level 1 global radiometer products recently have been added to the list of Worldview active layers.
Agriculture Production Datasets
| Dataset | Platforms | Instruments | Temporal Extent | Location Keywords | Spatial Extent | Data Format |
|---|---|---|---|---|---|---|
| China Dimensions Data Collection: Agricultural Statistics of the People's Republic of China: 1949-1990 | MODELS | Computer | 1949-01-01 to 1990-12-31 | CHINA | N: 54 S: 18 E: 135 W: 73 | WK1 |
| China Dimensions Data Collection: China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map | MODELS | Computer | 1985-01-01 to 1990-12-31 | CHINA | N: 54 S: 18 E: 135 W: 73 | ArcInfo Interchange, DBF |
| Ecosys Model-Estimated Cropland Carbon Fluxes, Illinois, Indiana, and Iowa, 2001-2018 | COMPUTERS | Computer | 2001-01-01 to 2018-12-31 | ILLINOIS, INDIANA, IOWA | N: 43.5012 S: 36.9703 E: -84.7846 W: -96.6397 | Shapefile |
| Effects of Climate Change on Global Food Production from SRES Emissions and Socioeconomic Scenarios | MODELS | Computer | 1970-01-01 to 2080-12-31 | GLOBAL, AFGHANISTAN, ALBANIA, ALGERIA, ANGOLA | N: 90 S: -58 E: 180 W: -180 | Excel, PNG, PDF, WMS |
| Food Insecurity Hotspots Data Set | MODELS | Computer | 2009-01-01 to 2019-12-31 | GLOBAL | N: 38.5 S: -26.87 E: 75.69 W: -105.27 | GeoTIFF, PNG, PDF, Shapefile |
| India Annual Winter Cropped Area, 2001-2016 | MODELS, Terra | Computer, MODIS | 2001-03-31 to 2016-03-31 | INDIA | N: 37.073831 S: 8.083816 E: 89.150397 W: 68.106253 | GeoTIFF, netCDF-4, PDF, PNG, WMS |
| Longwave-infrared spectral imagery in support of COMEX, 2014 | AIRCRAFT | HSI, Mako | 2014-07-22 to 2014-07-25 | CALIFORNIA | N: 35.4969 S: 33.8929 E: -117.452 W: -119.941 | multiple |
| LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019 | MODELS | Computer | 0850-01-01 to 2019-12-31 | GLOBAL LAND | N: 90 S: -90 E: 180 W: -180 | netCDF-4 |
| Methane Emissions from Dairy Sources (Vista-CA), State of California, USA, 2019 | MODELS | Computer | 2019-01-01 to 2019-12-31 | CALIFORNIA | N: 41.9263 S: 32.7263 E: -115.29 W: -124.29 | GeoTIFF |
| Potential Impacts of Climate Change on World Food Supply: Datasets from a Major Crop Modeling Study | MODELS | Computer | 1995-01-01 to 2110-12-31 | AFRICA, ASIA, AUSTRALIA, EUROPE, EASTERN ASIA | N: 90 S: -58 E: 180 W: -180 | Excel |
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