USING MACHINE LEARNING TO MONITOR WATER QUALITY
Our crowd-sourced UAS sensor data platform integrated with water quality monitoring algorithms allows researchers to take advantage of a wider range of sensors and data opportunities.
Public agencies can access a larger water quality monitoring database, and private institutions can obtain early identification and warning of water quality issues, enhancing preventive programs.
1. Equip Sensors
2. Deploy UAS
3. Monetize Flight
FOR THE DRONE OPERATORS
4. Access high-quality data
5. Pay only for what you need
6. Drive Informed Decisions
FOR THE DATA CONSUMERS
BETTER UNDERSTAND OUR PLANET
TOGETHER, WE CAN CONTRIBUTE TO A MORE SUSTAINABLE FUTURE
UAS equipped with sensors are revolutionizing atmospheric data collection and provide valuable insights that can help us to better understand and protect our planet.
It provides detailed information about the location, movement, and direction of water bodies and can be used to detect potential pollutants or contaminants.
WIDESPREAD ATMOSPHERIC DATA COLLECTION
SkyTL platform currently collects positional information and atmospheric data from UAS platforms equipped with anemometers or pressure probes.