Windy starry night

Movement of stars in this 345s shot.
During a nice night, I noticed many stars in the sky and decided to take some photos. As it was dark, I needed long exposures, up to 345 s. Using such long recording periods it is possible to show the movement of the Earth because the stars are no longer visible as dots but as curved lines. While taking these pictures, it became quite windy and cloudy and thus I couldn't take that many star pictures but then I tried to capture the clouds.

It is quite amasing that, although I live in a city (Brussels), there are still quite a number of stars visible, and then to imaging you can see some many more stars when there is no light. But then, you can capture the glow of the city in the moving clouds. It is a pity I haven't been able to see the Milky Way; I hope to see it one day because it seems is very beautiful and overwhelming.

Stars and moving branches (270s)
Still, I find these pictures nice: one can see movement in the stars but also in some branches of the trees while other branches do not move. Also in such a short time so many different pictures can be taken because of the movement of the clouds whereby one moment they come and then they go. It is quite fun taking these pictures although one needs patience because long exposures has to be taken and during those moments one can't do much more than waiting. But, during that period one can look at the stars and clouds and become calm, that is if one wants to calm down. 

All these pictures are taken by a Nikon D70 camera that needs some cleaning and with an aperture of f/8. The focal length was between 22 mm and 52 mm.
52 mm - 13s
27 mm - 25s. I like the soft glow of the clouds in this picture.
22 mm - 20s
22 mm - 20s. Notice the corner of the roof of the neighbouring house.
22 mm - 30s. These clouds are almost as sneaking over the other house.
18 mm - 20s.
  Posted by Picasa


Popular posts from this blog

Brexit, refugee crisis and the EU

(7i) Return to (travel) business in times of a virus

(20b) Coronavirus statistics: how to present data about cases and mortality