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Influence of Quality of Remote Sensing Data on Vegetation Passability by Terrain Vehicles

Faculty of Military Technology, University of Defence, Kounicova 65, 662 10 Brno, Czech Republic
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ISPRS Int. J. Geo-Inf. 2020, 9(11), 684; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110684
Received: 21 September 2020 / Revised: 2 November 2020 / Accepted: 12 November 2020 / Published: 16 November 2020
The article studied databases of vegetation created from remote sensors, outcome of analyses of Cross-Country Movement in forests, and quality of utilized data. The aim was to combine various databases of forests and get statistics of best data by using different methods of evaluation. Passability in forests is mainly conducted with analysis of driving between trees. The most suitable datasets in the Czech Republic are Forest Economic Plan and Digital Elevation Model 5th generation combined with Digital Surface Model 1st generation. Accuracy and usability of databases were compared with digital model of surface created from orthophoto images. Processing of data is the most important part that influences quality of statistical and map results. Studied characteristics of input databases and applied methods also have considerable influence on results of analysis of forest passability. The outcome substantially varies for personnel armored vehicles and wheeled vehicles mostly due to their movement capabilities. View Full-Text
Keywords: digital surface model; forest economic plan; analysis of passability; remote sensing data digital surface model; forest economic plan; analysis of passability; remote sensing data
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MDPI and ACS Style

Rada, J.; Rybansky, M.; Dohnal, F. Influence of Quality of Remote Sensing Data on Vegetation Passability by Terrain Vehicles. ISPRS Int. J. Geo-Inf. 2020, 9, 684. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110684

AMA Style

Rada J, Rybansky M, Dohnal F. Influence of Quality of Remote Sensing Data on Vegetation Passability by Terrain Vehicles. ISPRS International Journal of Geo-Information. 2020; 9(11):684. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110684

Chicago/Turabian Style

Rada, Josef, Marian Rybansky, and Filip Dohnal. 2020. "Influence of Quality of Remote Sensing Data on Vegetation Passability by Terrain Vehicles" ISPRS International Journal of Geo-Information 9, no. 11: 684. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110684

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