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Filip Dohnal

Biographic Data

ID4072091
NAMEFilip Dohnal
GIVEN NAMESFilip
FAMILY NAMEDohnal
SIGNATUREDOHNAL F
AFFILIATIONSUniversity of Defence
ORCID0000-0002-4908-6357
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • ML-based fire cause prediction

    Open Access•David Sládek, Filip Dohnal et al.•ARTICLE•International Journal of Disaster…•2026

    Wildfire management in Central Europe is often hampered by incomplete data; in the Czech Republic, nearly 49% of fire incidents are recorded with "Unknown" causes. This study presents a novel machine learning framework to address this gap by integrating Global Forecast System (GFS) meteorological data, geographic variables, and dynamic population mobility derived from aggregated SIM-card movement. Utilizing a Gradient Boosting model, we achieved …

  • Possible approaches to assessing terrain mobility after the effects of artillery munition

    Open Access•Martin Sedláček, Filip Dohnal et al.•ARTICLE•Cogent Social Sciences•2024

    The work deals with the movement of military vehicles in operational areas following artillery fire, depending on munition type, fuze, and soil characteristics across different horizons. It adresses both the mobility of own forces within the operational area and the counter-mobility effects on enemy forces due to weapons' impact. Mobility assessment, including counter-mobility, is crucial for land forces and finds significant application in conte…

  • Design of Web GIS Application for Planning of Military River Crossing

    Open Access•Filip Dohnal, Filip DOHNAL Filip DOHNAL et al.•ARTICLE•Challenges to national defence in…•2024

    Successful ground military operations necessitate thorough comprehension of the operational environment, particularly terrain and water features. This article advocates for the utilization of Geographic Information System (GIS) technology to develop a dynamic web application aimed at analyzing and planning watercourse crossings. By harnessing the capabilities of ArcGIS Pro and ArcGIS Online, the proposed application integrates hydrological and te…

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

    Open Access•Josef Rada, Marian Rybansky et al.•ARTICLE•ISPRS International Journal of…•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 Di…

  • Possibilities of Using Geographic Products in Tasks of Military Engineering

    Martin Sedláček, Filip Dohnal•ARTICLE•Challenges to national defence in…•2020

    This paper deals with the possibility of using geographic products in the Army of the Czech Republic for a purpose to create more efficient forms of geographic presentations with more dynamics and interaction, which can facilitate and accelerate a planning process of staff members in the selected tasks of military engineering. At present, there is no map in the Czech Army Corps of Engineers with the possibility of interaction, which would take in…

No prominent works on this page.

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

    Open Access•Josef Rada, Marian Rybansky et al.•ARTICLE•ISPRS International Journal of…•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 Di…

  • Possibilities of Using Geographic Products in Tasks of Military Engineering

    Martin Sedláček, Filip Dohnal•ARTICLE•Challenges to national defence in…•2020

    This paper deals with the possibility of using geographic products in the Army of the Czech Republic for a purpose to create more efficient forms of geographic presentations with more dynamics and interaction, which can facilitate and accelerate a planning process of staff members in the selected tasks of military engineering. At present, there is no map in the Czech Army Corps of Engineers with the possibility of interaction, which would take in…

  • Possible approaches to assessing terrain mobility after the effects of artillery munition

    Open Access•Martin Sedláček, Filip Dohnal et al.•ARTICLE•Cogent Social Sciences•2024

    The work deals with the movement of military vehicles in operational areas following artillery fire, depending on munition type, fuze, and soil characteristics across different horizons. It adresses both the mobility of own forces within the operational area and the counter-mobility effects on enemy forces due to weapons' impact. Mobility assessment, including counter-mobility, is crucial for land forces and finds significant application in conte…

  • Design of Web GIS Application for Planning of Military River Crossing

    Open Access•Filip Dohnal, Filip DOHNAL Filip DOHNAL et al.•ARTICLE•Challenges to national defence in…•2024

    Successful ground military operations necessitate thorough comprehension of the operational environment, particularly terrain and water features. This article advocates for the utilization of Geographic Information System (GIS) technology to develop a dynamic web application aimed at analyzing and planning watercourse crossings. By harnessing the capabilities of ArcGIS Pro and ArcGIS Online, the proposed application integrates hydrological and te…

  • ML-based fire cause prediction

    Open Access•David Sládek, Filip Dohnal et al.•ARTICLE•International Journal of Disaster…•2026

    Wildfire management in Central Europe is often hampered by incomplete data; in the Czech Republic, nearly 49% of fire incidents are recorded with "Unknown" causes. This study presents a novel machine learning framework to address this gap by integrating Global Forecast System (GFS) meteorological data, geographic variables, and dynamic population mobility derived from aggregated SIM-card movement. Utilizing a Gradient Boosting model, we achieved …

Computer Science (4 works) · Cartography (3 works) · Engineering (3 works) · Geography (3 works) · Environmental Science (2 works) · Geographic information system (2 works) · Simulation and Modeling Applications (2 works) · Terrain (2 works) · 3D Surveying and Cultural Heritage (1 work) · Advanced Research in Science and Engineering (1 work)

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