Identification of landing sites for rescue helicopters in mountains with use of Geographic Information Systems

Kroh, Paweł

doi:10.1007/s11629-019-5805-0

Cited by 8 publications

(4 citation statements)

References 39 publications

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“…In recent years, GIS has been highly signi cant in the planning of WiSAR missions (Ferguson, Kroh, 2020). In some cases, GIS technologies are too complex to be used in a short-term operations search.…”

Section: Gis Methods In Wisarmentioning

confidence: 99%

“…Over time, these techniques evolved into different approaches, such as using airplanes and helicopters, which are still employed in many WiSAR missions worldwide (Grissom et al, 2006;Ausserer et al, 2017). In addition, World War II witnessed a rise in the usage of probability maps, created by mathematical calculations or based on lost-person behavior, and resulted in the creation of probability areas identifying the most probable locations where an object may be located (Doherty et Kroh, 2020). However, a variety of WiSARrelated factors, such as terrain, land cover, climate and weather conditions, and the lack of data, play a crucial role in selecting the most appropriate approach, particularly the behavior of the missing person, which can lead to a more subjective approach (Lin et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Wilderness Search and Rescue: Adopting a New Approach for Finding Missing People Using GIS Techniques in Saudi Arabia

Almujalli

Altuwaijri

2023

Preprint

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Every year, hundreds of people go missing in the wilderness of Saudi Arabia. There is an immediate need to examine modern geographic techniques for finding these people. Geographical information systems (GIS), for example, play a crucial role in WiSAR, not only in mapping probability areas but also in applying further analysis and modeling methods to reduce time and effort and guide life-saving task forces in the right direction. In a hypothetical case study conducted in Saudi Arabia, this study compares two standard WiSAR models, ring and mobility. In these situations, both models can be used. However, the new approach in the mobility model drastically reduces the possible search areas, from 101,787 km2 in the ring model to 335.34 km of likely trails and unpaved roads, and gives exact directions to where a missing person may be.

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Section: Gis Methods In Wisarmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wilderness Search and Rescue: Adopting a New Approach for Finding Missing People Using GIS Techniques in Saudi Arabia

Almujalli

Altuwaijri

2023

Preprint

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“…It is useful in flood analysis [71][72][73], in the estimation of tree heights [74][75][76], and in determining land cover [77,78]. LiDAR data are also extremely useful in geomorphology [79] for examining volcanic landforms [80], pre-planning mountain rescues [81], or responding quickly to natural disasters, such as landslides or hurricanes.…”

Section: Lidar Measurementsmentioning

confidence: 99%

Altitude on Cartographic Materials and Its Correction According to New Measurement Techniques

et al. 2021

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Determining the correct height of mountain peaks is vital for tourism, but it is also important as a reference point for devices equipped with GPS (Global Positioning System), e.g., watches or car navigation systems. The peak altitude data are part of geographic and geodetic information. As more modern technologies and equipment become available, their precisions should increase. However, verification of peak heights is usually only conducted for the highest, well-known mountains—lower peaks or mountain passes are rarely verified. Therefore, this study focuses on an investigation of 12 altitude points on a section of the longest and most famous touristic trail in Poland (the Main Beskid Trail), located in the Orava–Żywiec Beskids Mts (Mountains). The aim of this research is to measure and verify the heights of the 12 selected mountain peaks, in addition to evaluating the chosen methods based on the quality of the obtained data and determining their suitability and opportunities for use in further research. Measurements were obtained at the most specific height points—on the 12 highest points of the summits. This study compares two modern measurement techniques: the global navigation satellite system (GNSS) and light detection and ranging (LiDAR). The obtained results were later compared with those widely used on the internet and in printed materials (period covered: 1884–2015). This analysis demonstrates that lesser-known objects are rarely the subject of remeasurement and significant altitude errors may occur, primarily because the heights originated from a source in the past when modern methods were not available. Our findings indicate that the heights of the peaks presented in cartographic materials are inaccurate. The assumed heights should be corrected by direct measurements using modern techniques.

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“…Thus both moving objects and more permanent ground changes can influence the safety of a landing zone. A well-maintained map of potential landing sites identified using topological features [5] is a good starting point but using this alone does not lead to sufficient accuracy. We focus on the use case of drones being used for deliveries where GPS and Digital Elevation Models (DEMs) [4] are useful for proposing potential landing sites but live assessment of a proposed site is still necessary.…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles

Joe¹,

Smeaton²

2021

Preprint

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There is a marked increase in delivery services in urban areas, and with Jeff Bezos claiming that 86% of the orders that Amazon ships weigh less than 5 lbs, the time is ripe for investigation into economical methods of automating the final stage of the delivery process. With the advent of semi-autonomous drone delivery services, such as Irish startup 'Manna', and Malta's 'Skymax', the final step of the delivery journey remains the most difficult to automate. This paper investigates the use of simple images captured by a single RGB camera on a UAV to distinguish between safe and unsafe landing zones. We investigate semantic image segmentation frameworks as a way to identify safe landing zones and demonstrate the accuracy of lightweight models that minimise the number of sensors needed. By working with images rather than video we reduce the amount of energy needed to identify safe landing zones for a drone, without the need for human intervention.

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Identification of landing sites for rescue helicopters in mountains with use of Geographic Information Systems

Cited by 8 publications

References 39 publications

Wilderness Search and Rescue: Adopting a New Approach for Finding Missing People Using GIS Techniques in Saudi Arabia

Wilderness Search and Rescue: Adopting a New Approach for Finding Missing People Using GIS Techniques in Saudi Arabia

Altitude on Cartographic Materials and Its Correction According to New Measurement Techniques

Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles

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