A blog about a telescopic system at the Mauna Loa Observatory on Hawaii to determine terrestrial albedo by earthshine observations. Feasible thanks to sheer determination.
Mathilde Saltoft Schou worked on the ISS images of the New Moon obtained by astronaut Andreas Mogensen. She based her Bachelor’s Thesis on this work. The thesis will be available here.
Effect of aligning multiple ISS images without (left) also rotating the images, and with (right).
The Moon is occasionally present in corners of images of the Earth taken by Earth Observation satellites. Use such images and the known colours of the Moon to link the filter system used by the satellites to the Johnson UBV system. Use the resulting tool to calculate B-V colours of the Earth through time. Map out seasonal variability. Test sensitivity of the result to imposed variations in e.g. ice cover (by image manipulation) or similar for desertification.
We have often come across good ideas for student projects. Here is a start of a collection of projects – just links, but text can be added to explain more.
How do meteorological conditions determine seeing at the telescope?
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http://iloapp.thejll.com/blog/earthshine?Home&post=343
Was the bias pattern constant?
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http://iloapp.thejll.com/blog/nextelescope?Home&post=3
Understanding the PSF:
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http://iloapp.thejll.com/blog/earthshine?Home&post=313
Albedo maps and their use in modelling observations:
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http://iloapp.thejll.com/blog/earthshine?Home&post=304
Atmospheric turbulence studied via Moon images:
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http://iloapp.thejll.com/blog/earthshine?Home&post=295
Colour of earthshine – Danjons work:
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http://iloapp.thejll.com/blog/earthshine?Home&post=280
Image analysis methods – Laplacian method:
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http://iloapp.thejll.com/blog/earthshine?Home&post=273
http://iloapp.thejll.com/blog/earthshine?Home&post=272
Modelling Earth:
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http://iloapp.thejll.com/blog/earthshine?Home&post=258
