Artificial intelligence (AI) techniques and mass satellite observation data today has made possible to generate global maps that can give valuable information that could benefit fields such as agriculture, biodiversity, climate predication and species adaption to climate change. Here are few examples how AI together with Big Data has made this possible.
Global Maps of Phosphorus and Nitrogen
Researchers of Valencia University (UV) have developed the first global maps of phosphorus and nitrogen content in vegetation. Carbon, hydrogen, oxygen, and Sulphur, nitrogen and phosphorous are the principle chemical elements into living systems. Nitrogen and phosphorus are needed in large amounts by plants. In soil, nitrogen and phosphorous are typically found in the form of nitrates and phosphates.
Droughts prediction several months in advance
Drought is the world’s costliest type of natural disaster. Scientists from The Australian National University (ANU) are using space technology to predict droughts and increased bushfire risk up to five months in advance. The use of multiple satellites to measure water below the earth’s surface with great precision relates to drought image on vegetation several months in advance. See below the video from ANU.
Researchers at the University of California, Irvine and other institutions have also rolled out satellite-based drought severity index for climate watchers worldwide.
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