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AIEWA Data Map

Best Viewed in Desktop or Tablet

Our sweeping AI-driven API is immersive and designed for large displays. The 3-D and raster data visualizations are best suited for desktop use and dissemination.

Insights

Agriculture & Water

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Vegetation

The normalized difference vegetation index (NDVI) is a measure of vegetation health that is an important indicator of agricultural productivity. Our NDVI dataset uses nearly four decades of satellite measurements of energy reflected by plants to infer photosynthetic activity and provides information about the health of crops across Saudi Arabia.

1986 - 2021

Saudi Arabia

30m / Field Scale

Water Use

Evapotranspiration (ET) is the combination of transpiration from vegetation and evaporation from soil and provides important information about water use from agricultural activities in Saudi Arabia. Our ET dataset is produced using a model that relies on spatial weather data and nearly four decades of satellite images and climate data.

1986 - 2021

Saudi Arabia

30m / Field Scale

Irrigation Status

Agricultural fields are some of the most striking landmarks on Saudi Arabian landscapes because of the irrigation that they receive. Our irrigation dataset compiles nearly four decades of satellite observations of plant productivity to provide maps of which fields were irrigated and not irrigated each year.

1986 - 2021

Saudi Arabia

30m / Field Scale

Water Vapor

Reference evapotranspiration represents evaporative demand or 'atmospheric thirst' for water. As such, reference evapotranspiration is important for design and scheduling of irrigation systems, and supports calculation of water use from agriculture, riparian areas, wetlands, open water bodies, and vegetated landscapes. Our reference evapotranspiration dataset uses 40 years of daily climate data to provide annual estimates for all of Saudi Arabia.

1986 - 2021

Saudi Arabia

10km / Field Scale

Vegetation Trends