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.
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.
The normalized difference vegetation index (NDVI) is a measure of vegetation health that is an important indicator of agricultural productivity. Our trend maps of NDVI provide information on how agricultural crop health and productivity has changed over each of the past four decades.
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.
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 trend maps of ET provide information on how agricultural water use has changed over each of the past four decades.
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.