Viehscheid in Bad Hindelang

This panorama shows the “Viehscheid” in Bad Hindelang. The german noun “Viehscheid” translates to “separation of cattle”. It is is an annual event in the alpine regions of southern Germany. During summer, the cattle feeds on alpine grazing land high up in the mountains. This land is called Almen or Alpen. In autumn the cattle is brought back into the valleys and the cows are separated from the herd and picked up by their respective owners.

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Technique
The shooting was done with a 3.20 meter (appx. 10.5 ft) pole to reach a more elevated viewpoint. The lens was mounted with a custom-made bracket. Stitched from five images taken with a Walimex (Samyang) 7.5mm fish eye lens on a Sony QX1. Four images around and an additional image for the nadir. The zenith was retouched by hand in post-processing.

Overlooking the valley Ostrachtal

This panorama shows a nice viewpoint near the mountain pass Oberjochpass. The viewpoint offers great views into the valley Ostrachtal.

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Technique
The shooting was done with a 2.60 meter (appx. 8.5 ft) pole to reach a more elevated viewpoint. The lens was mounted with a custom-made bracket. Stitched from six images taken with a Walimex (Samyang) 7.5mm fish eye lens on a Sony QX1. Five images around and an additional image for the nadir. The zenith was retouched by hand in post-processing.

Standing inside the archway between Cathedral Cove and Mares Leg Cove

This shot was taken inside the archway between Cathedral Cove and Mares Leg Cove. As low tide was still about 3 hours 20 minutes away you can see the waves coming into the archway from Cathedral Cove.

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Technique:
The shooting was done with a 2.60 meter (appx. 8.5 ft) pole to reach a more elevated viewpoint. The lens was mounted with a custom-made bracket. Stitched from five images taken with a Walimex (Samyang) 7.5mm fish eye lens on a Sony QX1. Four images around and an additional image for the nadir. Due to the high dynamic range of the sensor I only needed one exposure (with extreme boosting of the shadows while converting the raw images).

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