Water is one of the Earth’s most valuable resources, especially in regions that experience drought. There are many towns and even countries that suffer from shortages of water, even when it is used efficiently. The task of optimizing water usage often comes down to analysing total consumption, calculating the average per consumer and applying this norm to everyone. Unfortunately, this global approach does not produce the desired results, because each consumer of water resources faces a unique set of circumstances and individual consumption norms should be based on those circumstances.
To address this issue we use Land classification technologies for classification of facilities by water consumption, together with analysis of evaporation volumes and other available data. By processing all this information it is possible to identify who is actually consuming water sparingly for its stated purposes and therefore deserves a reduced tariff, and who is wasting water and should be incentivized to save it through higher tariffs.
This approach also produces an economic benefit, compensating the lost profit from efficient consumers through additional profit from wasteful users.
There is also a global problem of water pollution. The adverse impact of human activity is seen in the form of oil spills, garbage in the oceans and other phenomena. Analysis of satellite images can help here too. Change detection will help to identify the processes impacting pollution and to prevent their spread. In addition, it is possible to create scenario development models for rapid containment of man-made disasters.