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Lidar analyst skills for your resume and career

Updated January 8, 2025

2 min read

Quoted experts

David Feldman Ph.D.,

B.L. Turner

Below we've compiled a list of the most critical lidar analyst skills. We ranked the top skills for lidar analysts based on the percentage of resumes they appeared on. For example, 19.3% of lidar analyst resumes contained data processing as a skill. Continue reading to find out what skills a lidar analyst needs to be successful in the workplace.

12 lidar analyst skills for your resume and career

1. Data Processing

Data processing refers to the manipulation and collection of data to generate meaningful information by a computer. It may include the transfer of raw data to a machine-legible form, managing the flow of data through the CPU or any memory to an output device, and conversion of output. Any utilization of computers to perform specific functions on data can be incorporated under data processing.

Here's how lidar analysts use data processing:

Research and development of new techniques and methodologies to improve efficiency in LiDAR and GIS data processing and derivative production.
Estimate cost and time for airborne LiDAR data processing and derivatives production.

2. GIS

A geographic information system (GIS) is a tool for capturing, storing, manipulating, analyzing, managing and presenting various forms of geographic data.

Here's how lidar analysts use gis:

Create demographic GIS maps to show population densities around areas where UAV flights might take place.

3. Google Earth

Here's how lidar analysts use google earth:

Use appropriate mapping software, including Google Earth and the ESRI ArcGIS suite (ArcMap, ArcCatalog, Spatial Analyst).
Used Google Earth in juxtaposition with available imagery for facilitation of feature identification.

4. Extraction

Here's how lidar analysts use extraction:

Performed country level data extraction and finishing on several large databases in a time restrictive environment.
Map creation and editing from the digitization and extraction from aerial photography and commercial imagery.

5. Remote Sensing

Here's how lidar analysts use remote sensing:

Supervised the production of digital imagery and remote sensing products from multiple high resolution satellite data sources.
Used a variety of remote sensing and ancillary source material for analysis and photo interpretation.

6. Intelligence Products

Here's how lidar analysts use intelligence products:

Integrated GEOINT, IMINT, and MASINT capabilities to create tactical- level LIDAR-based intelligence products in support of planned militaryoperations.
Develop and edit GIS network intelligence products using ArcGIS Network Analysis extension for link analysis production and dissemination.

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7. ISR

Intelligence, Surveillance, Reconnaissance, or ISR is a record that contains essential information crucial in the nation. It has a various function such as operation and intelligence that deals with the processing, coordination, providing timely and relevant information helps with the security of a state. Some info that ISR can capture is radar, infrared images, and electronic signals.

Here's how lidar analysts use isr:

Work closely with collection managers to ensure proper tasking of our ISR platform (tasking).
Performed target development, coordinated with ISR assets and provided direct support to strike-force

8. GPS

GPS stands from Global Positioning System. It is a navigation system comprising of satellites that helps in determining the location, velocity, and synchronize time data for different modes of travel like air, sea, or land.

Here's how lidar analysts use gps:

Process GPS trajectories, perform cleanup algorithms, registered & managed data, generate final Products.
Constructed and monitored GPS and weather stations for field survey.

9. IC

It is an abbreviation for "integrated circuits" and is also called a microelectronic circuit or a chip. It is an assembly of electronic elements combined in a single unit in which devices like transistors, diodes, capacitors are built on semiconductor material like silicon.

Here's how lidar analysts use ic:

Present focused intelligence briefings to senior military officers and Intelligence Community (IC) personnel.
Collaborate with other IC Agency's and centers in providing AGI assets to solve real-world issues and concerns.

10. Photogrammetric

Here's how lidar analysts use photogrammetric:

Worked on several digital photogrammetric mapping projects that provided clients with scalable, highly-accurate imagery and DTM data.

11. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how lidar analysts use data collection:

Planned and processed all stages of remotely sensed LiDAR data collection and responsible for field operations involved with LIDAR collection.
Managed data collection and mapping projects throughout the organization, in support of various decision-making efforts across the organization.

12. RFI

RFI, short for Request for Information, is a preliminary business practice document used by the procurement industry to obtain general information about products or services, and to capture granular details of their procurement needs from experienced vendors in the market or the capabilities of various suppliers to enable purchasing decisions better informed.

Here's how lidar analysts use rfi:

Managed PED data sets for recurring time-dominant RFI Management and data distribution.
Planned flights (an average of two a day) to collect LIDAR data in support of formal RFI's.

What skills help Lidar Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on lidar analyst resumes?

David Feldman Ph.D.

Professor of Urban Planning and Public Policy and Political Science, Director, Water UCI, Director, MPP Program, University of California, Irvine

Succinct writing, critical thinking, strong quantitative analytical skills.

What lidar analyst skills would you recommend for someone trying to advance their career?

B.L. Turner

Arizona State University

All of the STEM elements that permit analysis of remotely sensed data, foremost satellite data, GIS analysis, spatial analysis, and ability to integrate social and biophysical elements of problems

Do you want to know more?

List of lidar analyst skills to add to your resume

The most important skills for a lidar analyst resume and required skills for a lidar analyst to have include:

Data Processing
GIS
Google Earth
Extraction

Remote Sensing
Intelligence Products
ISR
GPS

IC
Photogrammetric
Data Collection
RFI

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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