The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 15–19, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-15-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 15–19, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-15-2020

  06 Aug 2020

06 Aug 2020

OPTIMIZED POST-PROCESSING OF MULTIPLE UAV IMAGES FOR FORESTRY INSPECTIONS

P. Raeva and K. Pavelka Jr. P. Raeva and K. Pavelka Jr.
  • CTU, Department of Geomatics, 2700/7 Thákurová, Prague 6, Czech Republic

Keywords: canopy height model, UAV, photogrammetry, pyQGIS, postGIS

Abstract. The following paper discusses possible optimized post-processing and data tracking of UAV imagery for forestry inspection. The survey took place in the National Natural Reserve Božídarské rašeliniště – The Wetland of Božídar from 2015 till now. The purpose of this study is to provide with a suitable post-processing method of UAV images in a protected area with no necessity of human interaction with the species. The authors used UAV imagery from RGB and multispectral sensors. The focus of the paper is the post-processing which relies solely on open-source tools. The results of the paper are a script for automatic computation of vegetation indices, a script for canopy height model in a certain part of the mapped area a possible GIS solution for storing and tracking the data.