File:PikiWiki Israel 72500 the old pigeon nest in givat brener.jpg
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Captions
Captions
DescriptionPikiWiki Israel 72500 the old pigeon nest in givat brener.jpg |
English: The old pigeon nest in Givat Brener עברית: שובך היונים הישן בגבעת ברנר
Original Image Name: Piciwiki_israel_72500_9.jpg Notes: שובך היונים בגבעת ברנר נבנה ב1948 והופעל בידי יחידת היונאים של חיל הקשר בצהquotל להעברת הודעות עד 1953 עד שננטש. יוני הדואר שימשו ליצירת קשר מהיר עם יישובים מנותקים ולוחמים. השובך הוקם על ידי חבר הקיבוץ שמעון הנדלר שמונה לאחר תום מלחמת העצמאות למפקד יחידת היונאים בצהquotל כשאהרון לנדסמן גם הוא בן הקיבוץ טיפל ביונים. מבנה השובך עשוי מבלוקים ובטון ויש בו גומחות למגורי היונים. ב2008 הוכרז המקום כאתר מורשת מטעם המועצה לשימור אתרי מורשת בישראל. באפריל 2016 נחנך מבנה השובך המשופץ. Location: גבעת ברנר |
Date | |
Source | Heritage Conservation Outside The City via the PikiWiki - Israel free image collection project |
Author | ישראל פרקר Israel Preker |
Permission (Reusing this file) |
![]() ![]() This file is licensed under the Creative Commons Attribution 2.5 Generic license. Attribution: Heritage Conservation Outside The City Pikiwiki Israel
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Camera location | 31° 51′ 19.76″ N, 34° 48′ 17.91″ E ![]() | View this and other nearby images on: OpenStreetMap | ![]() |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 01:26, 20 October 2020 | ![]() | 2,461 × 1,898 (1.56 MB) | Pikiwikisrael (talk | contribs) |
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Metadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Image title |
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Camera manufacturer | HUAWEI |
Camera model | BLA-L29 |
Exposure time | 37/31,250 sec (0.001184) |
F-number | f/1.6 |
ISO speed rating | 50 |
Date and time of data generation | 11:23, 25 September 2018 |
Lens focal length | 3.95 mm |
Latitude | 31° 51′ 19.76″ N |
Longitude | 34° 48′ 17.9″ E |
Altitude | 0 meters above sea level |
Width | 2,461 px |
Height | 1,898 px |
Bits per component |
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Pixel composition | RGB |
Orientation | Normal |
Number of components | 3 |
Horizontal resolution | 72 dpi |
Vertical resolution | 72 dpi |
Software used | Adobe Photoshop CC 2018 (Windows) |
File change date and time | 23:40, 14 October 2020 |
Y and C positioning | Centered |
Exposure Program | Normal program |
Exif version | 2.1 |
Date and time of digitizing | 11:23, 25 September 2018 |
Meaning of each component |
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APEX shutter speed | 29.8973 |
APEX aperture | 1.35 |
APEX brightness | 0 |
APEX exposure bias | 0 |
Metering mode | Pattern |
Light source | Daylight |
Flash | Flash did not fire |
DateTime subseconds | 329116 |
DateTimeOriginal subseconds | 329116 |
DateTimeDigitized subseconds | 329116 |
Supported Flashpix version | 1 |
Color space | sRGB |
Sensing method | One-chip color area sensor |
File source | Digital still camera |
Scene type | A directly photographed image |
Custom image processing | Custom process |
Exposure mode | Auto exposure |
White balance | Auto white balance |
Digital zoom ratio | 1 |
Focal length in 35 mm film | 27 mm |
Scene capture type | Standard |
Scene control | None |
Contrast | Normal |
Saturation | Normal |
Sharpness | Normal |
Subject distance range | Unknown |
GPS time (atomic clock) | 08:23 |
GPS date | 25 September 2018 |
GPS tag version | 2.2.0.0 |
Lens used | HUAWEI Mate 10 Pro Rear Camera |
Date metadata was last modified | 02:40, 15 October 2020 |
Unique ID of original document | BE5C5D17DE7E7507D491A1C8E059F565 |