Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 83-90, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
26 Aug 2015
P. Dvořák1, J. Müllerová2, T. Bartaloš3, and J. Brůna2 1Brno University of Technology, Institute for Aerospace Engineering, Technicka 2, 616 69 Brno, Czech Republic
2Institute of Botany, The Czech Academy of Sciences, 252 43 Průhonice, Czech Republic
3GISAT s.r.o., Milady Horákové 57, 170 00 Prague, Czech Republic
Keywords: Automated processing; APM Plane; Fixed-wing platform; Geometric and radiometric correction; Invasive species; Mapping; Object- and pixel-based classification Abstract. Invasive species spread rapidly and their eradication is difficult. New methods enabling fast and efficient monitoring are urgently needed for their successful control. Remote sensing can improve early detection of invading plants and make their management more efficient and less expensive. In an ongoing project in the Czech Republic, we aim at developing innovative methods of mapping invasive plant species (semi-automatic detection algorithms) by using purposely designed unmanned aircraft (UAV). We examine possibilities for detection of two tree and two herb invasive species. Our aim is to establish fast, repeatable and efficient computer-assisted method of timely monitoring, reducing the costs of extensive field campaigns. For finding the best detection algorithm we test various classification approaches (object-, pixel-based and hybrid). Thanks to its flexibility and low cost, UAV enables assessing the effect of phenological stage and spatial resolution, and is most suitable for monitoring the efficiency of eradication efforts. However, several challenges exist in UAV application, such as geometrical and radiometric distortions, high amount of data to be processed and legal constrains for the UAV flight missions over urban areas (often highly invaded). The newly proposed UAV approach shall serve invasive species researchers, management practitioners and policy makers.
Conference paper (PDF, 1090 KB)

Citation: Dvořák, P., Müllerová, J., Bartaloš, T., and Brůna, J.: UNMANNED AERIAL VEHICLES FOR ALIEN PLANT SPECIES DETECTION AND MONITORING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 83-90,, 2015.

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