Old Animal photos from edwardagnew.com site which will soon deleted

 Photos are from 2000 or earlier, taken with Canon SLR cameras, using slide film and scanned to digital with a film scanner.  Various lens were used from wide angle to 600 mm




























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The Demolition of the Bogdon and Gross Plant, Walkerton

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  Over the last few weeks we have been walking over the site of the old Bogdon and Gross furniture factory, which is being demolished to make way for another sub-division. Originally built in the late 1890's by the Knechtel Furniture Co.,  It operated until 1934, closing during the great depression.  Purchased by Bogdon and Gross in 1938. They operated a furniture manufacturing operation until 2017 when it closed and has sat empty since.   A fire in 2020 caused some damage and a permit was issued for the demolition.  I am posting photos taken (usually just with a cell phone) showing the events and the changing landscape. Old photo of plant from the internet archives  Satellite image from google earth before anything happened     2021 02 20 before destruction   2021 02 24 still no changes 2021 03 11 Work has started     Fencing has been put up to keep people out.   Keep an eye on that rail car to right of building. it is sort of an anchor point  2021 03 13  2021 03 15 The rail car i
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  Y our DSLR has a very powerful exposure meter on it, but it also has a useful feature to go beyond simple metering. When you review a photo on you screen and you press INFO it should show a histogram similar to the image at the top.  In the case of Canon camera,  the more to the left the darker the image, the more to right the lighter the image.  This eliminates any errors or failure of the rear screen viewer to render the image properly, particularly in difficult to view lighting. To do so, take a test photo of your subject and look at the histogram.  Now if it is too dark, adjust exposure compensation a click or two brighter and take another,  review the histogram.  The intent is to just get the right most area of the graph just at, but not against the right limit.  The example at the right above for Bright Image shows too much bright, that is, information in your photo is be bleached out, and no amount of post-processing can fix it.  On the other hand, the Dark Image sample could
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