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ImportPhotos: a QGIS plugin to visualise geotagged photos

Authors: Kyriakou, Marios; Christou, Georgios; Kolios, Panayiotis;

ImportPhotos: a QGIS plugin to visualise geotagged photos

Abstract

ImportPhotos is a QGIS plugin created to show geotagged photos in a map. This tool can be used to import Geo-Tagged photos (jpg or jpeg) as points to QGIS. The user can select a folder with photos and only the geo-tagged photos will be taken. Then a layer will be created which it will contain the name of the picture, its directory, the date and time taken, altitude, longitude, latitude, azimuth, north, camera maker and model, title, user comment and relative path. It has two buttons; the one is to import geotagged photos, and the other one is to be able to click on a point and display the photo along with information regarding the date-time and altitude. The latest version of Import photos gives the ability to the user to use several basic filters on images and then save the picture the user wishes. To use additional filters, the user needs to use the python package OpenCV-python. Usage The plugin can be used view geotagged photos. A lot of users are using the plugin to visualise photos taken from a drone for fast evaluation of the drone’s path and the locations of the captured photos. In addition, the tool can be used to upload photos from mobile phones and visualise the locations where the pictures were taken. You can find more information at the plugin’s website at: https://mariosmsk.com/2019/07/02/qgis-plugin-importphotos/ and source code here: https://github.com/KIOS-Research/ImportPhotos

Keywords

QGIS, ImportPhotos, plugin, KIOS CoE, KIOS, UCY

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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