The fourth day of the DTU PhD Summer School on Remote Sensing for Wind Energy focused on scanning wind lidars, complex terrains, turbulence and wind profiles.
The 3rd day of the DTU PhD Summer School on Remote Sensing for Wind Energy covered wind turbine control using lidars and their accuracy, field work to install and operate a Windcube lidar. It also covered work done with onshore doppler radar to detect and study wind farm wakes.
The day was ended with a dinner at sea onboard the M/S Sagafjord.
Day 2 at the DTU PhD Summer School on Remote Sensing for Wind Energy focuses on Continuous Wave (CW) lidars and Pulsed lidars.
Attending the PhD Summer School on Remote Sensing for Wind Energy at the Institute of Wind Energy at the Denmark Technical University (DTU Riso) in Roskilde, Denmark.
Day 1 focused on LIDARs. It included a walk to check out the historical met mast and a view of the wind turbines (see images).
Attending the DTU PhD Summer School on Remote Sensing for Wind Energy.
Update: See the relevant posts.
The ocean is a complex system as a result of coupled forces arising from fluid dynamics. This coupling of the difference forces in the ocean (currents, surface and internal waves, swell, etc…) and the rotating Earth result in a sea surface with complex features obscuring the depths of the ocean.
Utilizing machine learning NASA AMES research scientist Ved Chirayath devised a method called fluid lensing to reduce and make these effects almost negligible. This resulted in a fluid cam capable of peering down to a depth of 10 meters which makes it very useful for studying coastal and coral systems.
I quote from NASA’s website:
So far Fluid Cam, the imaging instrument that carries the fluid lensing software, has flown only on a drone. Someday, this technique could be flown on an orbiting spacecraft to gather image data on the world’s reefs.
Credit: Featured image is taken from the video. It is copyright of NASA.
via [NASA Earth Observatory]