Week 5: Oceans and Us > Topic 5d - Energy

Satellite data can be used to identify energy potential in ocean locations suitable for renewable energy.

Strong currents, high surface waves and internal waves are all potential hazards to offshore installations, whether oil rigs, offshore wind farms or wave-energy installations.

Putting equipment out at sea to gather data can be very expensive, so satellite data measurements are extremely valuable when choosing where you want to put your investment.

Satellite data collected over many years can provide information that is of value when selecting a suitable site, developing technical specifications, and carrying out environmental impact assessments for new infrastructure projects.

Sentinel-1a is carrying instruments that produce SAR images of the sea surface showing a multitude of resources, which are of interest to the renewable energy sector.

Featured Educators

View featured satellites on the satellite tracking app

To download the video above please click the ‘Download video’ button located on the top-right.

You can download the video transcript pdf below onto your computer by opening the document, right-clicking and selecting the save option.

View featured imagery, animations and external links below

5d-transcript.pdf

How GNSS reflectometry works

Map of GNSS reflections (blue) and collocated NDBC Buoys (red)

Nadir antenna installed on UKM-DMC satellite

The SGR-ReSI is a remote sensing instrument based upon SSTL’s GNSS (Global Navigation
Satellite System) technology, targeting ocean, land, cryospheric and atmospheric applications.

The SGR-ReSI is a remote sensing instrument based upon SSTL’s GNSS (Global Navigation
Satellite System) technology, targeting ocean, land, cryospheric and atmospheric applications.

Global wind speed recorded by TechDemoSat-1 from May 2015 – Feb 2016

Orthogonal distance regression of buoy and TOPEX measurements of zero-crossing period, Tz, for the complete TOPEX mission. The slope of the best-fit regression, B, and the intercept, A, are shown with the 95% confidence limits. The cross-correlation coefficient, r, is 0.867. After rejection of 3*rmse outliers, a new best fit can be derived and plotted (not shown), with r improving to 0.901.

Location of collocated JASON-1 and buoy measurements: in total, 152 NDBC buoys are used in this study. Altimeters examined include both dual-frequency (TOPEX, ENVISAT, JASON-1) and single-frequency (ERS-2, Poseidon and Geosat Follow-On).

Sentinel-1 Synthetic Aperture Radar image of Jersey and Guernsey

TechDemoSat-1 (TDS-1) at Surrey Satellite Technology Ltd

UK TechDemoSat-1 with SGR-ReSI GPS-R payload launching on a Russian Soyuz, July 2014