Satellite images are available for various bandwidths. How can we reap benefits of AI to classify and recognise the status of water bodies? How can we predict the availability of quality water for human use and agriculture? How can we help the situation of drought and flood?
We can map the availability and quality of water using AI by analyzing satellite images to detect surface water bodies, measure their extent, and assess water quality indicators like turbidity and chlorophyll levels. AI models trained on spectral data can automate this process, providing timely and accurate insights.
We have to be careful not to make AI another Fad for the 21st century, as we did with other fads in the 20th century! Can AI be used to analyze data?
How Much Water is There on Earth? According to a 2019 Geological Survey
Here's a mind-boggling fact: a cubic kilometer of water equals about 264 billion gallons (1 trillion liters). About 3,100 mi 3 (12,900 km 3) of water, mostly in the form of water vapor, is in the atmosphere at any one time. If it all fell as precipitation at once, the Earth would be covered with only about 1 inch of water. Now, let's ponder: what could be the purpose of this measurement? Okay, there is too much chlorophyll or turbidity, but chlorophyll didn't have a large impact on turbidity, according to ArcGIS. According to them, there were some days when the turbidity was really high, and the levels of chlorophyll weren't. This means that the chlorophyll levels don't have a super big impact on turbidity. So, how will AI access water quality? I love to hear your thoughts!
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