MicMac GIS application: free open source

L. Duarte; O. Moutinho; A. Teodoro

doi:10.1117/12.2240196

18 October 2016 MicMac GIS application: free open source

L. Duarte, O. Moutinho, A. Teodoro

Proceedings Volume 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII; 100050D (2016) https://doi.org/10.1117/12.2240196
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

The use of Remotely Piloted Aerial System (RPAS) for remote sensing applications is becoming more frequent as the technologies on on-board cameras and the platform itself are becoming a serious contender to satellite and airplane imagery. MicMac is a photogrammetric tool for image matching that can be used in different contexts. It is an open source software and it can be used as a command line or with a graphic interface (for each command). The main objective of this work was the integration of MicMac with QGIS, which is also an open source software, in order to create a new open source tool applied to photogrammetry/remote sensing. Python language was used to develop the application. This tool would be very useful in the manipulation and 3D modelling of a set of images. The main objective was to create a toolbar in QGIS with the basic functionalities with intuitive graphic interfaces. The toolbar is composed by three buttons: produce the points cloud, create the Digital Elevation Model (DEM) and produce the orthophoto of the study area. The application was tested considering 35 photos, a subset of images acquired by a RPAS in the Aguda beach area, Porto, Portugal. They were used in order to create a 3D terrain model and from this model obtain an orthophoto and the corresponding DEM. The code is open and can be modified according to the user requirements. This integration would be very useful in photogrammetry and remote sensing community combined with GIS capabilities.

Conference Presentation

Citation Download Citation

L. Duarte, O. Moutinho, and A. Teodoro "MicMac GIS application: free open source", Proc. SPIE 10005, Earth Resources and Environmental Remote Sensing/GIS Applications VII, 100050D (18 October 2016); https://doi.org/10.1117/12.2240196

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