Short answer

Integrate a rigorous process for developing and documenting best practices tailored to the specific environmental and operational challenges of any remote or high-consequence design project.

Field
Resource Management
Source
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2020)
Method
Case Study and Best Practice Development
Evidence
Strong effect

Developing systematic best practices for Uncrewed Aircraft Systems (UAS) LiDAR mapping in challenging environments like the Arctic tundra significantly enhances operational efficiency, team resilience, and overall project success. This resource management research insight is drawn from a 2020 study published in ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences. Using Case study and best practice development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate a rigorous process for developing and documenting best practices tailored to the specific environmental and operational challenges of any remote or high-consequence design project.

Study
Resource ManagementHigh ImpactStrong effect

Arctic Tundra UAS LiDAR Mapping: Best Practices for Operational Efficiency and Resilience

Developing systematic best practices for Uncrewed Aircraft Systems (UAS) LiDAR mapping in challenging environments like the Arctic tundra significantly enhances operational efficiency, team resilience, and overall project success.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2020

01

Key Findings

  • 01Deploying UAS in remote and complex landscapes like the Arctic tundra necessitates adaptation of standard field approaches.
  • 02A structured set of best practices can systematically address challenges, leading to greater project success.
  • 03Key goals for developing best practices include maximizing system and team resilience, operational efficiency, and safety.
02

Application

Design takeaway

Integrate a rigorous process for developing and documenting best practices tailored to the specific environmental and operational challenges of any remote or high-consequence design project.

How to apply

Before commencing a design project in a novel or challenging environment, conduct a thorough risk assessment and develop a detailed set of operational best practices, including contingency plans.

Project actions

  • 01Document all operational procedures and challenges encountered during your design project.
  • 02Identify potential failure points and develop mitigation strategies before starting fieldwork.
03

Method & Evidence

AimHow can systematic best practices be formulated and implemented to address the unique challenges of UAS LiDAR mapping in the Arctic tundra, thereby maximizing system and team resilience, operational efficiency, and safety?
MethodCase Study and Best Practice Development
ProcedureResearchers deployed a heavy-lift UAS for LiDAR mapping in the Arctic tundra, meticulously collecting metadata on each field campaign. They analyzed expended efforts, identifying contributors to successes and failures. Based on this analysis, a set of best practices was formulated to systematically address identified challenges.
ContextArctic Tundra Environmental Research

Variables

IVImplementation of systematic best practices
DVProject success (measured by operational efficiency, team resilience, safety)
CVUAS type, LiDAR sensor, Arctic tundra environment
04

Strengths & Limitations

Strengths

  • +Directly addresses practical challenges of technology deployment in a difficult environment.
  • +Provides actionable recommendations in the form of best practices.

Limitations

The specific challenges and solutions presented are unique to Arctic tundra environments and UAS LiDAR operations, so direct transferability to other contexts may be limited.

Reliability & validity

The study's reliability is supported by the detailed metadata collection and analysis of multiple field campaigns. Validity is enhanced by the focus on practical outcomes like operational efficiency and safety, directly addressing the research aims.

Think critically

To what extent do the 'best practices' developed in this study represent universal principles for UAS operations, and how might they need to be significantly altered for other remote or hazardous environments?

05

Design Principles

"Proactive risk mitigation through adaptive operational planning."

This research highlights the critical need for adaptive strategies when deploying advanced technologies in remote or complex terrains. By codifying operational procedures, designers and researchers can mitigate risks, optimize resource allocation, and ensure the reliability of data collection in high-consequence projects.

06

What This Means for Your Design

When using drones for mapping in tough places like the Arctic, having a clear set of rules and procedures (best practices) helps make sure the work goes smoothly, the equipment doesn't break, and everyone stays safe.

How to use in your project

  • 1.Reference this study when discussing the importance of operational planning and risk management in your design project, particularly if working in challenging environments.
07

Add to My Project

08

Quick Cite

Paragraph starter

The successful deployment of Uncrewed Aircraft Systems (UAS) for LiDAR mapping in the Arctic tundra, as demonstrated by Collins et al. (2020), underscores the critical importance of developing and adhering to systematic best practices. Their research highlights how adapting standard field approaches to address the unique environmental and logistical challenges of remote locations can significantly enhance operational efficiency, team resilience, and overall project success. This principle is directly applicable to our design project, emphasizing the need for proactive risk assessment and the formulation of tailored operational protocols to ensure reliable data collection and project completion.

09

Source

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

UAS LIDAR MAPPING OF AN ARCTIC TUNDRA WATERSHED: CHALLENGES AND OPPORTUNITIES

journal · 2020

View source

Questions About This Research

What does the research say about arctic tundra uas lidar mapping: best practices for operational efficiency and resilience?
Integrate a rigorous process for developing and documenting best practices tailored to the specific environmental and operational challenges of any remote or high-consequence design project. Evidence: ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2020).
Why does "Arctic Tundra UAS LiDAR Mapping: Best Practices for Operational Efficiency and Resilience" matter for design?
This research highlights the critical need for adaptive strategies when deploying advanced technologies in remote or complex terrains. By codifying operational procedures, designers and researchers can mitigate risks, optimize resource allocation, and ensure the reliability of data collection in high-consequence projects.
How can designers apply this research?
Integrate a rigorous process for developing and documenting best practices tailored to the specific environmental and operational challenges of any remote or high-consequence design project.
What were the main findings?
Deploying UAS in remote and complex landscapes like the Arctic tundra necessitates adaptation of standard field approaches.. A structured set of best practices can systematically address challenges, leading to greater project success.. Key goals for developing best practices include maximizing system and team resilience, operational efficiency, and safety.
What research method was used?
Case Study and Best Practice Development.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2020 journal from ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences.
What should I do differently in my next project?
Before commencing a design project in a novel or challenging environment, conduct a thorough risk assessment and develop a detailed set of operational best practices, including contingency plans.
What are the limitations?
The findings are specific to UAS LiDAR operations in the Arctic tundra and may require further adaptation for different environments or sensor types.