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).
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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.
source: NASA via @Xavier Hoenner
Credit: Featured image is taken from the video. It is copyright of NASA.
source: NASA Earth Observatory
via [NASA Earth Observatory]
The following is an 20x downsampled global Shuttle Radar Topography Mission (SRTM) map made with Python and Basemap.
Full resolution can be found on wikimedia.
One can notice the depth of the ocean floor, on a global scale, ranges between -2000 and -6000 meters. In some regions though like the Pacific exceed this range and reach 11 kilometers below the sea surface. One such region is the deepest point on Earth, the Mariana trench as shown below followed by a map for a perspective of its location.
Location of the Mariana trench. Wikimedia commons.
Credits: The SRTM dataset used was provided by IFREMER.
Ibrahim El Merehbi 