Aerial

Map vegetation. Model surfaces. Analyze physical assets on the ground.

Process

    • Moderate to high density aerial LiDAR data acquired from fixed wing, rotary or UAV/UAS platforms.
    • Aerial images.

     

    SECTORS

    • Energy & utilities
    • Mining & archaeology
    • Forestry & agriculture
    • Water resources & environment
    • Government & insurance
    • Defense & many more

Extract & Analyze

  • EXTRACT

    • Bare earth ground, vegetation, man-made features, natural features, contour, TIN, hillshade, intensity images, orthorectified images, 3D city modelling.
    • Classified point clouds of manmade and natural features.
    • Vectorized features in GIS or CAD format.

    ANALYZE

    Extracted 3D Map is used to:

    • Generate DEM/DTM and DSM.
    • Slope map.
    • Hydro flattened DEM/DSM.
    • Vegetated area vs impervious area.
    • Volume estimation.
    • Change detection.
    • Identification of encroachments by human and natural objects to powerline assets and utilities.
    • Clearance violations.

Answer

    • Hydrological & geological modeling.
    • Landscape analysis and desktop planning & laying out of new plans.
    • Flood risk analysis.
    • Forest biomass & inventory management.
    • Quantitative or volume record.
    • Utilities asset inventory management, monitoring and maintenance.
    • Alternate routing study for utilities like powerline, telecom, pipeline, sewer etc.
    • Air traffic routing and navigation.
    • Solar analysis.
    • Terrain modelling and visualization.

Why choose us?


  • Quality: Our processing methodologies guarantee high quality data along with a fast turnaround. We have developed in-house processes to automate many manual tasks enabling more QA time, increasing both speed and quality.
  • Productivity: We partner with you to instantly boost your current team’s capacity. This helps you meet and beat deadlines and capture early completion bonuses.
  • Cost: Azimetry’s cost-effective services increase productivity, reduce your need for QA/QC, and accelerate delivery times to enhance your profits and brand image.
  • Partnership: We work closely with you to build and maintain a high degree of trust, satisfaction and a lasting relationship. We not only provide GIS services, we work with your organization to understand your needs and how you conduct business. The Azimetry team is committed to providing each client with a solution that won’t disrupt daily operations or management, but rather compliment and increase efficiency to support decision-making.
  • Success: Azimetry was founded on the belief that success is achieved by adding value to each customer for each project. We believe in providing services from field to finish, done right the first time. It doesn’t stop there though. We train your staff to maintain an accurate GIS Services that can benefit all departments as you move forward to meet the challenges ahead.

Case Studies

Objective

Process lidar data in support of an NERC compliance project along a 2115 mile transmission line corridor for a large electrical utility provider in California.

Input

  • Helicopter collected Lidar data
  • Orthophotos
  • Client specifications

Lidar classification and feature vectorization production

  • Review input data
  • Confirm project schedule with client
  • Prepare data for processing using both automated and manual methods
  • Classify lidar data as per client specifications
  • Vectorize features as per client specifications
  • String catenaries along transmission line
  • QC data
  • Deliver processed data to client

Output

  • Classified lidar data
  • Vectorized features
  • 3D catenary strings.

Objective

Process lidar data in support of an NERC compliance project along a 1346 mile transmission line corridor for a large electrical utility provider in California.

Input

  • Helicopter collected Lidar data
  • Orthophotos
  • Client specifications

Lidar classification and feature vectorization production

  • Review input data
  • Confirm project schedule with client
  • Prepare data for processing using both automated and manual methods
  • Classify lidar data as per client specifications
  • Vectorize features as per client specifications
  • String catenaries along transmission line
  • QC data
  • Deliver processed data to client

Output

  • Classified lidar data
  • Vectorized features
  • 3D catenary strings.

Objective

Process lidar data in support of an NERC compliance project along a 1009 mile transmission line corridor for a large electrical utility provider in Washington and Oregon.

Input

  • Helicopter collected Lidar data
  • Orthophotos
  • Client specifications

Lidar classification and feature vectorization production

  • Review input data
  • Confirm project schedule with client
  • Prepare data for processing using both automated and manual methods
  • Classify lidar data as per client specifications
  • Vectorize features as per client specifications
  • String catenaries along transmission line
  • QC data
  • Deliver processed data to client

Output

  • Classified lidar data
  • Vectorized features
  • 3D catenary strings.

Objective

Process lidar data in support of an NERC compliance project along a 586 mile transmission line corridor for a large electrical utility provider in Georgia.

Input

  • Helicopter collected Lidar data
  • Orthophotos
  • Client specifications

Lidar classification and feature vectorization production

  • Review input data
  • Confirm project schedule with client
  • Prepare data for processing using both automated and manual methods
  • Classify lidar data as per client specifications
  • Vectorize features as per client specifications
  • String catenaries along transmission line
  • QC data
  • Deliver processed data to client

Output

  • Classified lidar data
  • Vectorized features
  • 3D catenary strings.

Objective

Process lidar data in support of an NERC compliance project along a 586 mile transmission line corridor for a large electrical utility provider in Georgia.

Input

  • Helicopter collected Lidar data
  • Orthophotos
  • Client specifications

Lidar classification and feature vectorization production

  • Review input data
  • Confirm project schedule with client
  • Prepare data for processing using both automated and manual methods
  • Classify lidar data as per client specifications
  • Vectorize features as per client specifications
  • String catenaries along transmission line
  • QC data
  • Deliver processed data to client

Output

  • Classified lidar data
  • Vectorized features
  • 3D catenary strings.

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