What does a geospatial image analyst do?
Geospatial image analyst responsibilities
Here are examples of responsibilities from real geospatial image analyst resumes:
- Manage project team meetings using SharePoint calendars.
- Perform tile QA, QC on numerous tiles for other compilers.
- Construct logs and Powerpoint slides for presentation to clients.
- Maintain high speed scanners, PC's and relate software.
- Assist in administering brain MRI scans and smooth pursuit eye tracking tasks.
- Educate and coordinate personnel on use of GIS products deliver at project end.
- Generate basic imagery products from satellite data, perform QC and archive raw satellite data.
- Utilize MATLAB computer program to discover higher resolution images of arterial blood flow in heart patients.
- Build a reliable MATLAB GUI to analyze genotyping experiments and find positive DNA drops on slides.
- Work in a team to develop and expand on Photoshop actions to increase overall productivity of projects.
- Evaluate GIS data such as tie and grind control and grind truth points for compliance and accuracy.
- Provide imagery analysis base on worldwide NGA requirements.
- Conduct exploitation of near-real-time imagery/full motion video collect by airborne ISR assets.
- Perform target development, coordinate with ISR assets and provide direct support to strike-force
- Conduct in-depth analysis across multiple SIGINT disciplines to identify and develop enemy networks.
Geospatial image analyst skills and personality traits
We calculated that 18% of Geospatial Image Analysts are proficient in MRI, Photoshop, and Visualization. They’re also known for soft skills such as Computer skills, Problem-solving skills, and Detail oriented.
We break down the percentage of Geospatial Image Analysts that have these skills listed on their resume here:
- MRI, 18%
contract only position) Utilized an image-guided beta software program to delineate nuclei areas on MRI scans of human brains.
- Photoshop, 13%
Worked in a team to develop and expand on Photoshop actions to increase overall productivity of projects.
- Visualization, 10%
Created visualization maps and figures to show regional inequality in China.
- Data Analysis, 10%
Image processing algorithm development and image analysis using matlab, embedded system development, data analysis and much more.
- Image Analysis, 10%
Accepted casework in video, audio, and image analysis.
- Python, 9%
Program watershed characterization and system management tools using the Python programming language and ESRI ArcMap Add-in functionality.
"mri," "photoshop," and "visualization" are among the most common skills that geospatial image analysts use at work. You can find even more geospatial image analyst responsibilities below, including:
Computer skills. To carry out their duties, the most important skill for a geospatial image analyst to have is computer skills. Their role and responsibilities require that "both cartographers and photogrammetrists must have experience working with computer data and coding." Geospatial image analysts often use computer skills in their day-to-day job, as shown by this real resume: "utilized matlab computer program to discover higher resolution images of arterial blood flow in heart patients. "
Problem-solving skills. Another soft skill that's essential for fulfilling geospatial image analyst duties is problem-solving skills. The role rewards competence in this skill because "cartographers and photogrammetrists must be able to reconcile differences between aerial photographs, land surveys, and satellite images." According to a geospatial image analyst resume, here's how geospatial image analysts can utilize problem-solving skills in their job responsibilities: "executed unix based programs to merge data and derive final photogrammetric solutions. "
Detail oriented. Another skill that relates to the job responsibilities of geospatial image analysts is detail oriented. This skill is critical to many everyday geospatial image analyst duties, as "cartographers must focus on details when conceiving a map and deciding what features to include." This example from a resume shows how this skill is used: "developed monthly financial reports within sap and tableau to provide a detailed summary for management. "
The three companies that hire the most geospatial image analysts are:
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Compare different geospatial image analysts
Geospatial image analyst vs. Remote sensing scientist
A remote sensing scientist specializes in developing and upgrading sensing technology, which is usually used in surveillance and security cameras. The remote sensing scientist improves motion detection, night vision, infrared sensing, camera technology, and surveillance. Security is an important part of any business, and it is vital for a remote sensing scientist always to upgrade sensing technology regularly. The remote sensing scientist also gathers information, analyzes it, and provides management with a comprehensive report on what to improve and develop.
While similarities exist, there are also some differences between geospatial image analysts and remote sensing scientist. For instance, geospatial image analyst responsibilities require skills such as "mri," "photoshop," "visualization," and "image analysis." Whereas a remote sensing scientist is skilled in "lidar," "algorithm development," "envi," and "data collection." This is part of what separates the two careers.
The education levels that remote sensing scientists earn slightly differ from geospatial image analysts. In particular, remote sensing scientists are 19.9% more likely to graduate with a Master's Degree than a geospatial image analyst. Additionally, they're 18.7% more likely to earn a Doctoral Degree.Geospatial image analyst vs. Remote sensing engineer
A remote sensing engineer applies remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management and urban planning. They may develop new sensor systems, analytical techniques, or new applications for existing systems. Their duties and responsibilities also include designing or implementing strategies for collection, analysis, or display of geographic data.
In addition to the difference in salary, there are some other key differences worth noting. For example, geospatial image analyst responsibilities are more likely to require skills like "mri," "photoshop," "visualization," and "data analysis." Meanwhile, a remote sensing engineer has duties that require skills in areas such as "rf," "lidar," "algorithm development," and "cad." These differences highlight just how different the day-to-day in each role looks.
On average, remote sensing engineers earn a higher salary than geospatial image analysts. Some industries support higher salaries in each profession. Interestingly enough, remote sensing engineers earn the most pay in the pharmaceutical industry with an average salary of $106,420. Whereas geospatial image analysts have higher pay in the energy industry, with an average salary of $99,794.remote sensing engineers earn higher levels of education than geospatial image analysts in general. They're 10.8% more likely to graduate with a Master's Degree and 18.7% more likely to earn a Doctoral Degree.Geospatial image analyst vs. Analyst internship
An analyst internship is a student program where an intern is assigned to assist analyst professionals by analyzing business goals, objectives, and needs. Analyst interns assist in the planning and designing of business processes and suggest recommendations for improvement. They conduct research and analysis to support business operations and resolve issues using systems and data. They also help estimate the costs and benefits of multiple business actions and help the business organization launch new initiatives.
Some important key differences between the two careers include a few of the skills necessary to fulfill the responsibilities of each. Some examples from geospatial image analyst resumes include skills like "mri," "photoshop," "visualization," and "image analysis," whereas an analyst internship is more likely to list skills in "financial statements," "management system," "data entry," and "strong analytical. "
Analyst interns make a very good living in the professional industry with an average annual salary of $41,723. On the other hand, geospatial image analysts are paid the highest salary in the energy industry, with average annual pay of $99,794.Most analyst interns achieve a higher degree level compared to geospatial image analysts. For example, they're 6.1% more likely to graduate with a Master's Degree, and 0.4% more likely to earn a Doctoral Degree.Geospatial image analyst vs. Weather algorithm scientist
Types of geospatial image analyst
Updated January 8, 2025
