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UXO Land and UX-Analyze

UXO Forward Modelling

UXO Forward Modelling

Learn about UXO Forward Modelling
UXO Land Quality Control

UXO Land Quality Control

UXO Land QC Heading corrections Sample separation Velocity Footprint coverage Heading corrections Instrument tests: Azimuth test: operator rotates around a magnetic sensor Octant test: operator
Industry Best Practices for  Advanced Geophysical Classification of UXO Survey Data

Industry Best Practices for Advanced Geophysical Classification of UXO Survey Data

to process advanced electromagnetic sensor data to classify unexploded ordnance targets. An overview of UX-Analyze, along with practical tips for experienced users to help improve
Industry Best Practices for Processing Onshore UXO Geophysical Data

Industry Best Practices for Processing Onshore UXO Geophysical Data

New and experienced users alike will walk away with practical tips to improve their use of UXO Land. Presenter InformationLaura Quigley, Technical Analyst, Seequent Laura
Why switch to Digital Geophysical UXO Surveys?

Why switch to Digital Geophysical UXO Surveys?

The trouble with traditionA traditional method for ERW (Explosive Remnants of War) and UXO (Unexploded Ordnance) detection is an analogue survey known as “mag and
Danger underground: Detecting UXO in our Backyards

Danger underground: Detecting UXO in our Backyards

When in doubt, you dig. That was the rule in the investigation of unexploded ordnance (UXO). Also known as Explosive Remnants of War (ERW), UXO
Protecting Populations Through Unexploded Ordnance (UXO) Detection

Protecting Populations Through Unexploded Ordnance (UXO) Detection

Unexploded ordnance (UXO) represents a distinguished threat in many war-torn countries. Despite progress at the turn of the century, including promises to discontinue anti-personnel mines
Identification and Classification of Unexploded Ordnance using Advanced Electromagnetics – A Practical Reality

Identification and Classification of Unexploded Ordnance using Advanced Electromagnetics – A Practical Reality

SummaryIn the past differentiating between unexploded ordnance (UXO) and clutter using shape information derived from conventional electromagnetic induction (EMI) data has proven challenging. Digital geophysical

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