Open AccessAutomatic geotagging using GPS EXIF metadata of smartphone digital photos in tree planting location mapping
Author(s) -
Budi Prasetiyo,
Alamsyah Alamsyah,
Much Aziz Muslim,
Subhan Subhan,
N Baroroh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1918/4/042001
Subject(s) - geotagging , global positioning system , metadata , geographic coordinate system , computer science , tree (set theory) , documentation , sowing , geography , computer vision , remote sensing , information retrieval , world wide web , cartography , mathematics , telecommunications , mathematical analysis , botany , biology , programming language
Tree planting is one of the programs that are currently being promoted. The location of tree planting is important to be monitored in the future. Tree planting activities carried out on the UNNES campus always carry out online documentation and reporting. However, the problem is the difficulty in obtaining the coordinates of the location of the plants because what is currently done is clicking on maps manually. In this research, we designed automated geotagging tree planting photos. Digital photos from smartphones are read, then extracted EXIF information to get GPS coordinates. Then the coordinates are obtained automatically, then stored in the database. The coordinates can be reversed to display on maps. In our experiment, we study in two cases. Case 1 the original photo near the building, Case 2 the photo near the forest. We can show that the result of mapping represents the actual state of the photo. So, the use of GPS information on photo smartphones can be an alternative solution in terms of documenting planting photos to get an accurate location.