Case Study on Detecting Local Soil Anomalies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564677" target="_blank" >RIV/60162694:G43__/26:00564677 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061284" target="_blank" >10.1109/ICMT65201.2025.11061284</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Case Study on Detecting Local Soil Anomalies

Popis výsledku v původním jazyce

Soil anomalies play a crucial role in determining terrain passability, which is essential for applications such as military operations and mobility planning. This study investigates the impact of soil anomalies on terrain passability models, focusing on the detection of moisture-related anomalies in soils like chernosols. Soil anomalies can significantly influence vehicle mobility, especially in military operations. Traditional soil databases often miss these localized variations, leading to inaccurate predictions. This research integrates remote sensing data, particularly from Sentinel-2 satellites, with field surveys and the 'Water and Wetness' (WaW) product to identify areas of excess moisture and their effects on soil passability. The study demonstrates that the WaW product can reliably detect large-scale wet areas, contributing to more accurate terrain mobility planning. The findings highlight the importance of combining remote sensing, GIS analysis, and field data to improve passability predictions.

Název v anglickém jazyce

Case Study on Detecting Local Soil Anomalies

Popis výsledku anglicky

Soil anomalies play a crucial role in determining terrain passability, which is essential for applications such as military operations and mobility planning. This study investigates the impact of soil anomalies on terrain passability models, focusing on the detection of moisture-related anomalies in soils like chernosols. Soil anomalies can significantly influence vehicle mobility, especially in military operations. Traditional soil databases often miss these localized variations, leading to inaccurate predictions. This research integrates remote sensing data, particularly from Sentinel-2 satellites, with field surveys and the 'Water and Wetness' (WaW) product to identify areas of excess moisture and their effects on soil passability. The study demonstrates that the WaW product can reliably detect large-scale wet areas, contributing to more accurate terrain mobility planning. The findings highlight the importance of combining remote sensing, GIS analysis, and field data to improve passability predictions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings

ISBN

979-8-3315-2338-1

ISSN

2996-4466

e-ISSN

2996-4474

Počet stran výsledku

7

Strana od-do

1-7

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Brno

Místo konání akce

Brno, Czech Republic

Datum konání akce

27. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545807300027