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Remote sensing analyst skills for your resume and career

Updated January 8, 2025

4 min read

Quoted experts

Jon-Paul McCool,

Jessica K. Graybill

Below we've compiled a list of the most critical remote sensing analyst skills. We ranked the top skills for remote sensing analysts based on the percentage of resumes they appeared on. For example, 47.3% of remote sensing analyst resumes contained troubleshoot as a skill. Continue reading to find out what skills a remote sensing analyst needs to be successful in the workplace.

15 remote sensing analyst skills for your resume and career

1. Troubleshoot

Troubleshooting is the process of analyzing and fixing any kind of problem in a system or a machine. Troubleshooting is the detailed yet quick search in the system for the main source of an issue and solving it.

Here's how remote sensing analysts use troubleshoot:

Resolved and troubleshoot any malfunctions involved with network system management involved with 320 remote retail kiosk locations.
Worked with technicians and other internal departments to troubleshoot router/switch initialization on the fiber optic network.

2. Epic

Epic is a private healthcare company which developed and continues to provide a software intended for healthcare professionals and the organization and management of medical records. It is by far one of the largest in its field, with over 50% of patients having a medical record present in their system. Patients, as well as clinics and various medical professionals and facilities are all able to use this system to keep medical history and information safe and easy to reach, alter, and share with the necessary people.

Here's how remote sensing analysts use epic:

Support Epic Go-Live implementation Skills Used Technical, Public Speaking/Presentation, Communication
Developed, tested, implemented and supported the Epic Resolute, Cadence, Chronicles, and Prelude clinical-support applications.

3. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how remote sensing analysts use analyze data:

Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
Analyze data to produce maps and statistics for reports.

4. 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 remote sensing analysts use data collection:

Organized multiple field trips for data collection in local rivers and inland water bodies.
Improved field data collection efficiency and situation awareness with prior planned routes.

5. Remote Sensing

Here's how remote sensing analysts use remote sensing:

Create land cover classification maps for analysis using remote sensing protocol.
Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.

6. LiDAR

Here's how remote sensing analysts use lidar:

Utilized Multi-Spectral Data sets, LIDAR Data, Aerial photography & Satellite Images on a daily basis.
Supervised a team of three LIDAR data editors providing both general and specific mission-critical support.

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7. 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 remote sensing analysts use gis:

Completed research using 50 years of aerial photography and GIS analysis for management plan on UM forestry properties.
Utilize scripting expertise and open source GIS libraries to design and develop automated solutions for image processing tasks.

8. Extraction

Here's how remote sensing 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.

9. 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 remote sensing analysts use data processing:

Managed lab and lab workers and instructed on proper data processing methods and quality control.
Developed a time-saving GIS-based procedure that mitigated a software-based DGM data processing limitation allowing for contractual schedule adherence.

10. Technical Support

Technical support or tech support are the services provided by any hardware or software company to users. They help in solving the technical difficulties the customers face with their products or services. Moreover, the tech support employees maintain, manage, and repair the IT faults. They are also responsible for resolving the network problems, installing and configuring hardware and software.

Here's how remote sensing analysts use technical support:

Interacted with institutional clients, IT departments and development to provide assistance with technical support, system functionality and update requirements.
Provided successful implementation of highly effective help desk operations and the cost-effective management of innovative customer and technical support strategies.

11. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how remote sensing analysts use python:

Compose, manage, and run Python scripts to streamline project organization.
Project: Developed methodology and Python script to perform accuracy assessment of land cover datasets.

12. Desktop

The term desktop commonly refers to the desktop computer also called a personal computer. A PC is named after a desktop as it is placed on or under the desk. A desktop computer consists of different accessories such as CPU, monitor, mouse, keyboard, speakers, etc. The desktop also refers to the graphical user interface that appears on a computer, displaying all the icons on the monitor screen.

Here's how remote sensing analysts use desktop:

Processed an archive of digital orthophotos with the Desktop Mapping System.
Created IT tickets and follow ups on desktop maintenace issues.

13. Satellite Imagery

Satellite imagery refers to the images of the earth and/or other planets captured using artificial satellites and operated by businesses and governments around the world. These images are used to forecast the behavior of the planet and draw out clear and accurate information about how events on a particular planet unfold.

Here's how remote sensing analysts use satellite imagery:

Performed supervised and unsupervised classification on satellite imagery to find forest species.
Invented new technique to identify forest thinning on moderate resolution satellite imagery.

14. ICD-9

Here's how remote sensing analysts use icd-9:

Review documents in order to determine appropriate ICD-9 and CPT codes.

15. Image Analysis

Here's how remote sensing analysts use image analysis:

Master of Photo-Orthorectification and Image Analysis.
Prepared tutorials on hyperspectral image analysis; * Presented data/results at meetings, workshops and conferences.

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What skills help Remote Sensing Analysts find jobs?

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

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

Jon-Paul McCool

Associate Professor of Geography; Environmental Science Program Coordinator, Valparaiso University

Utilize your time as an undergraduate student to set yourself apart. Do some kind of research project that can show your ability to do more than only the assigned work in classes. Utilize your summers to gain additional experience by working relevant jobs and internships. To all extents possible, do not limit yourself spatially. Be willing to travel to far flung locations, at least for a few years, to gain relevant experience after graduating rather than being tied to one specific location or region. You are far more employable with a couple years experience rather than straight out of school.

What type of skills will young remote sensing analysts need?

Jessica K. Graybill

Associate Professor of Geography and Director of the Russian & Eurasian Studies Program, Colgate University

Creativity and analytical skills are key, alongside the willingness to be familiar with a range of digital applications. For example, it will no longer be enough to just know SPSS or ArcGIS - students need to be familiar with navigating other digital and open-access platforms for data analysis. Entering the workforce in a post-pandemic world, Gen Z will need to be flexible about the times and places in which work occurs (in an office or from home), able to accommodate the health needs of themselves and others, and capable of engaging with - and perhaps even introducing - multiple kinds of digital programs and communications devices as they are rolled out and that will continue to connect us in new ways, and not always in person.

Do you want to know more?

List of remote sensing analyst skills to add to your resume

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

Troubleshoot
Epic
Analyze Data
Data Collection
Remote Sensing
LiDAR
GIS
Extraction
Data Processing
Technical Support

Python
Desktop
Satellite Imagery
ICD-9
Image Analysis
Spatial Data
Medicaid
GPS
Google Earth
Satellite Data

Autocad
LAN
Image Processing Software
Spatial Analysis
Esri
Research Projects
DEM
CMS
Software Installation

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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