Physical-geographic factors of terrain trafficability of military vehicles according to Western World methodologies

Heštera, Hrvoje; Pahernik, Mladen

doi:10.21861/hgg.2018.80.02.01

Cited by 14 publications

(9 citation statements)

References 34 publications

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“…Our research is focused on predicting vehicle cross country mobility where many geographical factors influence vehicle mobility (Heštera & Pahernik, 2018). Soil bearing capacity is one of the fundamental factors of vehicle mobility that has been explored by many authors, among whom it is necessary to highlight Frankenstein & Koenig (2004), Priddy et al (2012), Rybansky (2015) and Dasch et al (2016).…”

Section: Introductionmentioning

confidence: 99%

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2024

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Papua, known as one of the wettest regions in the world with annual precipitation ranging from 2400 to 4500 mm, faces a high risk of flooding, especially during La Niña, as observed in 2018 and 2022. Conversely, the region also experiences forest fires, mainly in the southern areas of Papua, during periods of extreme dry conditions brought about by El Niño events, as seen in 2002, 2004, and 2015. Given the increasing frequency of extreme climate events in the context of climate change, understanding the impact of global climate phenomena such as El Niño Southern Oscillation (ENSO) on Papua is crucial. This research aims to analyze the influence of ENSO and the Indian Ocean Dipole (IOD) on forest fires and flood risk in Papua, Indonesia. The analysis of forest fires utilizes MODIS hotspot and ERA5 precipitation data, employing quantitative modeling techniques such as Lasso and Elastic Net Regression. It integrates both ENSO and IOD indices into the precipitation indicators. In contrast, flood analysis is carried out through distribution and joint pattern analysis. The Elastic Net Regression yields promising results in modeling, with more than 96% of the tested models successfully predicting the total annual hotspots for each year, achieving an R-squared value of 90%. This suggests that the method and algorithm used can serve as a robust model for early hotspot prediction in the analyzed area. The warm phases of ENSO and IOD consistently exhibit a positive correlation with the dry season. However, the cold phases of these phenomena do not significantly impact heavy and extreme precipitation indicators in the studied region. The flood analysis reveals that La Niña has only a slight effect on all three precipitation patterns in the analyzed area, primarily by increasing the risk of extreme precipitation indicators. Conversely, negative IOD demonstrates inconsistency across all three precipitation patterns in Papua.

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Section: Introductionmentioning

confidence: 99%

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2024

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“…Numerous methods and models about the relationship between soil and vehicle (wheels and/or tracks) have been developed to determine the possibility of vehicle movement, where the soil type information according to USCS is one of the main factors used (Mason and Baylot 2016;Heštera and Pahernik 2018).…”

Section: Introductionmentioning

confidence: 99%

The USCS Mapping of Continental Croatia using Multinominal Logistic Regression and Inverse Distance Weighting Spatial Interpolation

Heštera

Pahernik²,

Zelić

et al. 2023

Preprint

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The Unified Soil Classification System (USCS) is the basis for numerous methods for soil trafficability research. Since USCS data are not always available, various other data and methods are used to correlate and predict the USCS soil group. This paper describes two methods used for the purpose of mapping Continental Croatia (CCro) according to USCS to a depth of 50 cm. In the first method, the possibility of transfer of 308 profile samples according to the International Soil Science Society (ISSS) classification system into USCS was examined. The results show that it is impossible to directly transform ISSS data into USCS. In the second method 414 USCS profiles were used to analyse the weights of factors in the spatial analysis with inverse distance weighting (IDW). The analysis included layers of dominant and associated soil units of the Basic Soil Map of Croatia (BSM), Geological Map of Croatia (GM), drainage and catchment areas. The obtained weights were as follows: BSM 47,12%, catchment area 27,12%, GM 17,67% and drainage 8%. The results showed that CCro is covered with fine-grained soils, with clay covering almost the entire area and silt dominating in the western and north-western parts of the country.

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“…The cross-country movement of off-road vehicles is affected by various terrain features such as slope, terrain roughness, soil type, vegetation, seasonal changes to the ground surface, rivers, etc. [3][4][5][6][7][8][9][10][11][12][13]. One of the most difficult environments in which to maneuver is forested terrain.…”

Section: Introductionmentioning

confidence: 99%

GNSS Signal Quality in Forest Stands for Off-Road Vehicle Navigation

Rybansky,

Kratochvíl,

Dohnal

et al. 2023

Applied Sciences

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One of the basic possibilities of orientation in forest stands is the use of global navigation satellite systems (GNSS). Today, these systems are used for pedestrian orientation and also for off-road vehicle navigation. This article presents the results of research aimed at measuring the quality of GNSS signal in different types of coniferous and deciduous vegetation for the purpose of optimizing the navigation of off-road vehicles. To determine the structure (density) of the forest stand, tachymetry was chosen as the reference method. The Trimble Geo 7X cm edition device with Tornado for 7X antenna devices using real time VRS (virtual reference station) method was used to measure GNSS signal quality. This article presents the results of recorded numbers of GNSS satellites (GPS, GLONASS, Galileo and BeiDou) during the driving of a terrain vehicle in two different forest locations. Significant presented results include the deviations of vehicle positions determined by GNSS from tachymetrically precisely measured and marked routes along which the vehicle was moving. The authors of the article focused on the accuracy of determining the position of the vehicle using GNNS, as the most commonly used device for off-road vehicle navigation. The measurement results confirmed the assumption that the accuracy of positioning was better in deciduous forest than in coniferous (spruce) or mixed vegetation. This research was purposefully focused on the possibilities of navigation of military vehicles, but the achieved results can also be applied to the navigation of forestry, rescue and other types of off-road vehicles.

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Physical-geographic factors of terrain trafficability of military vehicles according to Western World methodologies

Cited by 14 publications

References 34 publications

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The USCS Mapping of Continental Croatia using Multinominal Logistic Regression and Inverse Distance Weighting Spatial Interpolation

GNSS Signal Quality in Forest Stands for Off-Road Vehicle Navigation

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