Satellite Based Remote Lake Health Monitoring Solution An Aerospace Winner

Satellite Based Remote Lake Health Monitoring Solution An Aerospace Winner Seequent was awarded the grand prize at the new zealand aerospace challenge 2019 on friday after demonstrating how its globally scalable slims solution could effectively and economically monitor the health of all new zealand’s 3,820 lakes. with currently only 2% of lakes currently monitored via established methods of lake water sampling and. Seequent is developing a satellite based remote sensing solution that could virtually monitor the water quality of every lake globally.seequent’s lake indicator modelling system (slims) can capture water quality data across many hundreds of lakes at once and model and visualise it through time, to help freshwater scientists identify lake health changes as they occur.

Satellite Based Remote Lake Health Monitoring Solution An Aerospace Winner Seequent’s lake indicator modelling system (slims) can capture water quality data across many hundreds of lakes at once and model and visualise it through time, to help freshwater scientists identify lake health changes as they occur. seequent was awarded the grand prize at the new zealand aerospace challenge 2019 on friday after. Seequent was awarded the grand prize at the new zealand aerospace challenge 2019 on friday after demonstrating how its globally scalable slims solution could effectively and economically monitor the health of all new zealand’s 3,820 lakes. with currently only 2% of lakes currently monitored via established methods of lake water sampling and. When we use earth observing data to illuminate issues and solve challenges, everyone benefits. our community works together to harness the power of these data and create worldwide change. River health monitoring to increase the number of river miles being assessed. flooding prediction and response for better modeling of weather related consequences from flooding and erosion. wildfire prevention and response , using satellite remote sensing data to create a more complete picture of rapidly changing agriculture and forest cover.