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Complete transcript available.

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NASA satellites, data, missions, and programs have been put to use for decades to strengthen food security, track droughts and flooding, determine plant and soil health and otherwise support agriculture decision making. With observations from space and aircraft, combined with high-end computer modeling, NASA works with partner agencies, organizations, farmers, ranchers, and decision makers to share our understanding of the relationship between the Earth system and the environments that provide us food. Working with local communities and decision makers to determine their needs and how they can best use Earth observation data, NASA supports those who address issues like water management for irrigation, crop-type identification and land use, coastal and lake water quality monitoring, drought preparedness, and famine early warnings. ", "items": [], "extra_data": {} } ], "studio": "hw", "funding_sources": [ "ESE" ], "credits": [ { "role": "Producer", "people": [ { "name": "Kathleen Gaeta", "employer": "Advocates in Manpower Management, Inc." } ] }, { "role": "Writer", "people": [ { "name": "Aries Keck", "employer": "ADNET Systems, Inc." }, { "name": "Christopher Thorne", "employer": "ADNET Systems, Inc." } ] } ], "missions": [], "series": [ "Agriculture Animations - Global Agricultural Monitoring", "Narrated Movies" ], "tapes": [], "papers": [], "datasets": [], "nasa_science_categories": [ "Earth" ], "keywords": [ "Agricultural science", "Agriculture", "Applied Science", "Drought", "Earth Science", "floods", "Human Dimensions", "Hyperwall", "Natural hazards" ], "recommended_pages": [], "related": [], "sources": [ { "id": 31179, "url": "https://svs.gsfc.nasa.gov/31179/", "page_type": "Hyperwall Visual", "title": "Crop CASMA - March 1, 2021 through Feb 25, 2022", "description": "Using data from the Crop Condition and Soil Moisture Analytics (Crop-CASMA) product, the map shows soil moisture anomalies, or how the water content in the top meter (3 feet) of soil compares to normal conditions for the time of year. || Crop_CASMA_4Kconus_2021365899_print.jpg (1024x576) [163.8 KB] || Crop_CASMA_4Kconus_2021365899_searchweb.png (320x180) [81.8 KB] || Crop_CASMA_4Kconus_2021365899_thm.png (80x40) [6.8 KB] || conus_crp_2021365_1080p.mp4 (1920x1080) [58.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || conus_crp_2021365_1080p.webm (1920x1080) [3.7 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || conus_crp_2021365_4k.mp4 (3840x2160) [147.1 MB] || ", "release_date": "2022-03-08T00:00:00-05:00", "update_date": "2025-02-16T23:58:07.424442-05:00", "main_image": { "id": 377733, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031179/Crop_CASMA_4Kconus_2021365899_print.jpg", "filename": "Crop_CASMA_4Kconus_2021365899_print.jpg", "media_type": "Image", "alt_text": "Using data from the Crop Condition and Soil Moisture Analytics (Crop-CASMA) product, the map shows soil moisture anomalies, or how the water content in the top meter (3 feet) of soil compares to normal conditions for the time of year. ", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 13760, "url": "https://svs.gsfc.nasa.gov/13760/", "page_type": "Produced Video", "title": "GPM and Transportation and Logistics", "description": "Music: \"Data Visions,\" Universal Production MusicComplete transcript available. || gpmtransportthumb_print.jpg (1024x568) [137.7 KB] || gpmtransportthumb.png (3338x1854) [7.4 MB] || gpmtransportthumb_searchweb.png (320x180) [98.8 KB] || gpmtransportthumb_thm.png (80x40) [10.6 KB] || gpmtransport_youtube.webm (1920x1080) [16.3 MB] || gpmtransport_youtube.mp4 (1920x1080) [215.5 MB] || gpmtransport.en_US.srt [2.1 KB] || gpmtransport.en_US.vtt [2.1 KB] || gpmtransport_prores.mov (1920x1080) [3.6 GB] || ", "release_date": "2020-11-02T07:00:00-05:00", "update_date": "2023-05-03T13:44:32.624187-04:00", "main_image": { "id": 381504, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a013700/a013760/gpmtransportthumb_print.jpg", "filename": "gpmtransportthumb_print.jpg", "media_type": "Image", "alt_text": "Music: \"Data Visions,\" Universal Production MusicComplete transcript available.", "width": 1024, "height": 568, "pixels": 581632 } }, { "id": 4806, "url": "https://svs.gsfc.nasa.gov/4806/", "page_type": "Visualization", "title": "GRACE Data Assimilation and GEOS-5 Forecasts", "description": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region || okovango_1080p30.00500_print.jpg (1024x576) [74.4 KB] || okovango_1080p30.00500_searchweb.png (320x180) [56.1 KB] || okovango_1080p30.00500_thm.png (80x40) [5.8 KB] || okovango_1080p30.mp4 (1920x1080) [27.9 MB] || okovango_1080p30.webm (1920x1080) [7.1 MB] || okovango_1080p30.mp4.hwshow [388 bytes] || ", "release_date": "2020-03-31T00:00:00-04:00", "update_date": "2025-03-10T00:09:51.811312-04:00", "main_image": { "id": 385927, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004806/okovango_1080p30.00500_print.jpg", "filename": "okovango_1080p30.00500_print.jpg", "media_type": "Image", "alt_text": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 13417, "url": "https://svs.gsfc.nasa.gov/13417/", "page_type": "Produced Video", "title": "Landsat Croplands Data Overview", "description": "The U.S. Department of Agriculture tracks how many acres and the annual yield for every crop produced. One method used to estimate crop acreage and yield is remote-sensing data from the NASA-USGS Landsat satellite program. The program started in 1997,with North Dakota, and by 2008 covered the entire lower 48 states and the District of Columbia. Music: \"Downloading Landscapes\" by Andrew Michael Britton [PRS] and David Stephen Goldsmith [PRS]. Published by Atmosphere Music Ltd [PRS].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13417_Landsat_Croplands_print.jpg (1920x1080) [940.0 KB] || 13417_Landsat_Croplands_print_searchweb.png (180x320) [52.1 KB] || 13417_Landsat_Croplands_print_thm.png (80x40) [4.6 KB] || 13417_Landsat_Croplands.webm (1920x1080) [19.7 MB] || 13417_Landsat_Croplands.mp4 (1920x1080) [292.2 MB] || 13417_Landsat_Croplands-captions.en_US.srt [3.0 KB] || 13417_Landsat_Croplands-captions.en_US.vtt [3.0 KB] || 13417_Landsat_Croplands.mov (1920x1080) [4.8 GB] || 13417_Landsat_Croplands.mp4.hwshow [423 bytes] || ", "release_date": "2019-11-27T12:00:00-05:00", "update_date": "2025-03-16T23:21:08.148457-04:00", "main_image": { "id": 391566, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a013400/a013417/13417_Landsat_Croplands_print.jpg", "filename": "13417_Landsat_Croplands_print.jpg", "media_type": "Image", "alt_text": "The U.S. Department of Agriculture tracks how many acres and the annual yield for every crop produced. One method used to estimate crop acreage and yield is remote-sensing data from the NASA-USGS Landsat satellite program. The program started in 1997,with North Dakota, and by 2008 covered the entire lower 48 states and the District of Columbia. Music: \"Downloading Landscapes\" by Andrew Michael Britton [PRS] and David Stephen Goldsmith [PRS]. Published by Atmosphere Music Ltd [PRS].Complete transcript available.Watch this video on the NASA Goddard YouTube channel.", "width": 1920, "height": 1080, "pixels": 2073600 } }, { "id": 4443, "url": "https://svs.gsfc.nasa.gov/4443/", "page_type": "Visualization", "title": "NASA-USDA-FAS Soil Moisture / IMERG", "description": "Soil Moisture / Precipitation in Australia, Absolute || australia_abs.0001_print.jpg (1024x576) [100.7 KB] || australia_abs.0001_searchweb.png (320x180) [64.4 KB] || australia_abs.0001_thm.png (80x40) [5.8 KB] || australia_abs (1920x1080) [0 Item(s)] || australia_abs_1080p30.webm (1920x1080) [14.4 MB] || australia_abs_1080p30.mp4 (1920x1080) [117.6 MB] || ", "release_date": "2016-03-30T00:00:00-04:00", "update_date": "2025-03-02T00:06:45.638270-05:00", "main_image": { "id": 425681, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004443/australia_abs.0001_print.jpg", "filename": "australia_abs.0001_print.jpg", "media_type": "Image", "alt_text": "Soil Moisture / Precipitation in Australia, Absolute", "width": 1024, "height": 576, "pixels": 589824 } }, { "id": 30590, "url": "https://svs.gsfc.nasa.gov/30590/", "page_type": "Hyperwall Visual", "title": "From Observations to Models", "description": "NASA’s Global Modeling and Assimilation Office (GMAO) uses the Goddard Earth Observing System Model, Version 5 Data Assimilation System (GEOS­-5 DAS) to produce global numerical weather forecasts on a routine basis. GMAO forecasts play important roles in managing NASA’s fleet of science satellites and in researching the impact of new satellite observations. In order to provide timely information about the state of the atmosphere for NASA instrument teams and researchers, the GMAO runs the GEOS-­5 DAS four times each day in real time. For each forecast, it is necessary to provide accurate initial conditions that drive the GEOS-­5 forecasts. To do this, the best estimate of the full, three-dimensional atmospheric state is determined by combining the latest observations and a short-term, 6-­hour forecast—a process known as data assimilation. The GEOS-­5 DAS assimilates more than 5 million observations during each 6-hour assimilation period.These observations are assembled from a number of sources from around the globe, including NASA, NOAA, EUMETSAT (European Organization for the Exploitation of Meteorological Satellites), commercial airlines, the US Department of Defense, and many others. Similarly, each observation type has its own sampling characteristics. It can be seen in the animation how different observation types have different strategies. One of the main challenges of data assimilation is to understand how all these observations are alike, how they differ, and how they interact with each other.Funding for the development of the GEOS-5 model and data assimilation system development comes from NASA's Modeling, Analysis, and Prediction Program and the NASA Weather Focus Area's contribution to the Joint Center for Satellite Data Assimilation.The GEOS-5 DAS runs at the NASA Center for Climate Simulation, which is funded by NASA’s High-End Computing Program.For More Information:http://gmao.gsfc.nasa.gov/http://www.nccs.nasa.gov/images/data_assim_story_072815.pdf || ", "release_date": "2015-05-07T10:00:00-04:00", "update_date": "2025-03-03T00:03:01.288967-05:00", "main_image": { "id": 431584, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030590/fig-wleg-wm-00720_print.jpg", "filename": "fig-wleg-wm-00720_print.jpg", "media_type": "Image", "alt_text": "This animation shows the global observations assimilated into the GEOS-5 data assimilation system over 6 hours. Data assimilation occurs four times per day.", "width": 1024, "height": 576, "pixels": 589824 } } ], "products": [], "newer_versions": [], "older_versions": [], "alternate_versions": [] }