File:G213 Linxia Maji Town.jpg
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Captions
Summary
[edit]DescriptionG213 Linxia Maji Town.jpg |
English: China national highway G213 near Maji Town, Linxia |
Date | |
Source | https://www.mapillary.com/app/?lat=35.46334000000002&lng=103.01753800000006&z=12.816248915672976&pKey=BDYdyhB-whxvgKMUcQczTw&focus=photo |
Author | jeepney |
Camera location | 35° 27′ 48.02″ N, 103° 01′ 03.14″ E | View this and other nearby images on: OpenStreetMap | 35.463340; 103.017538 |
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Licensing
[edit]- You are free:
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- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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This file comes from Mapillary, a service for sharing geotagged photos. All photos are under a CC BY-SA 4.0 license meaning the individual photographer must be credited for each image. {{{1}}}
This tag does not indicate the copyright status of the attached work. A normal copyright tag is still required. See Commons:Licensing. Deutsch | English | español | English | македонски | Nederlands | português | suomi | svenska | Tiếng Việt | 中文 | +/− |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 12:28, 12 June 2019 | 1,471 × 1,046 (174 KB) | Pieceofmetalwork (talk | contribs) | User created page with UploadWizard |
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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.
Orientation | Normal |
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Horizontal resolution | 72 dpi |
Vertical resolution | 72 dpi |
Software used | Adobe Photoshop CC (Windows) |
File change date and time | 14:25, 12 June 2019 |
Color space | sRGB |
Date and time of digitizing | 16:25, 12 June 2019 |
Date metadata was last modified | 16:25, 12 June 2019 |
Unique ID of original document | xmp.did:15e6b118-3adb-424c-8d28-860efafdd478 |