Normalized Differential Vegetation Index critical to Agricultural Monitoring in Ukraine, Russia, and Kazakhstan
On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.
New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.
These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions.
This sequence shows the MODIS' satellites' derived CROP NDVI Anomaly relative to Average (2000-2011) with the USDA's end of season crop production for wheat for the focus countries of Russia, Ukraine, and Kazakhstan.
Crop Conditions from NDVI colortable
This sequence shows the MODIS' satellites' derived CROP NDVI Anomaly relative to Average (2000-2011). The single frame is from June 8, 2011.
This layer contains the correspoding date information for each data set.
NDVI colortable
This image taken from March 30, 2012 shows daily Crop anomaly with the USDA's end of season wheat production values listed. Russia had 56,240 Metric Tons in the 2011-2012 normal year, but had only 37, 717 MT in the 2012-2013 drought year. The regional drought also negatively affected Ukraine and Kazakhstan. The Ukraine had 6563 less MT of wheat and Kazakhstan had 12,891 less MT of wheat.
- Agricultural Aquatic Sciences
- Agricultural Engineering
- Agricultural Plant Science
- Agriculture
- Aquaculture
- Crop/Plant Yields
- Earth Science
- Farm Structures
- Forest Science
- Forestry
- Irrigation
- Natural hazards
- Reclamation/Revegetation/Restoration
- Reforestation
- Soil Moisture/Water Content
- Soil science
- Soils
Credits
Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio
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Animator
- Lori Perkins (NASA/GSFC)
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Producer
- Jefferson Beck (USRA)
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Scientists
- Chris Justice (University of Maryland)
- Inbal Becker Reshef (University of Maryland)
- Eric Vermote (NASA/GSFC)
Release date
This page was originally published on Wednesday, May 8, 2013.
This page was last updated on Wednesday, May 3, 2023 at 1:52 PM EDT.
Datasets used
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Crop NDVI Anomaly [Terra and Aqua: MODIS]
ID: 782
Note: While we identify the data sets used on this page, we do not store any further details, nor the data sets themselves on our site.