2

Remote Sensing Jobs in Mississippi (NOW HIRING)

Remote Sensing information

See Mississippi salary details

$27

$32

$35

How much do remote sensing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote sensing in Mississippi is $32.23, according to ZipRecruiter salary data. Most workers in this role earn between $30.34 and $34.13 per hour, depending on experience, location, and employer.

What is remote sensing?

Remote sensing is the science and technology of obtaining information about objects or areas from a distance, typically using aircraft or satellites. It involves capturing data through sensors that detect reflected or emitted energy from the Earth's surface. This information is used in various fields such as environmental monitoring, agriculture, urban planning, and disaster response. Remote sensing allows for large-scale data collection without direct contact, making it invaluable for tracking changes over time.

What is remote sensing?

Remote sensing is the process of using satellite, sonar, and aerial imagery to gather information about an area. Remote sensing is often used to collect information on the spread of forest fires, track weather formations, and map the bottom of the ocean. In most time-sensitive cases, sensors are attached to a drone or airplane so they can collect data and add it to the Geospatial Information System (GIS). For businesses, remote sensing is typically used for land surveying, commercial and economic planning, early warning systems, and air traffic control. Remote sensing information is also available through public programs like Google Earth which allow researchers and companies to analyze information without having to collect it themselves.

What are the key skills and qualifications needed to thrive as a remote sensing specialist, and why are they important?

To thrive as a Remote Sensing Specialist, you need expertise in geospatial analysis, image processing, and a background in environmental science, geography, or a related field. Proficiency in GIS software (such as ArcGIS or QGIS), remote sensing tools (like ENVI or ERDAS Imagine), and programming languages (like Python or R) is typically required. Strong analytical thinking, attention to detail, and effective communication skills make a candidate stand out. These abilities are vital for accurately interpreting satellite or aerial data and translating insights into actionable information for decision-makers.

What are some common challenges faced by professionals working in remote sensing, and how can they be addressed?

Professionals in remote sensing often encounter challenges such as handling and processing large volumes of complex data, staying updated with rapidly evolving technology, and ensuring data accuracy for analysis. These can be addressed by developing strong skills in data management and using advanced software tools, participating in continuous learning opportunities, and collaborating closely with multidisciplinary teams such as GIS analysts, data scientists, and field researchers. Establishing clear workflows and maintaining open communication with stakeholders also helps ensure project goals are met effectively.

What is the difference between Remote Sensing vs GIS Analyst?

AspectRemote SensingGIS Analyst
Required CredentialsBachelor's in Geography, Environmental Science, or related; often GIS or remote sensing certificationsBachelor's in Geography, GIS, or related; GIS certifications common
Work EnvironmentField data collection, satellite image analysis, laboratory workOffice-based, map creation, spatial data analysis
Industry UsageEnvironmental monitoring, agriculture, defense, urban planningUrban planning, transportation, utilities, environmental management
Search & Comparison IntentFocus on satellite data analysis and image processingFocus on spatial data management and map creation

Remote Sensing and GIS Analyst roles share overlapping skills in spatial data and GIS tools, but Remote Sensing emphasizes satellite and aerial image analysis, while GIS Analysts focus on managing and analyzing geographic data for mapping and decision-making.

Does remote sensing pay well?

Remote sensing professionals typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced analysts or specialists with skills in GIS, satellite imagery, and data analysis can earn higher wages, especially in industries like defense, environmental management, and geospatial technology.

What can I do with remote sensing?

Remote sensing professionals analyze satellite or aerial imagery to monitor environmental changes, manage natural resources, and support urban planning. They use tools like GIS software and may require skills in data analysis, image processing, and knowledge of sensor technologies.

What careers use remote sensing?

Remote sensing is used in careers such as environmental scientists, GIS analysts, cartographers, and remote sensing specialists. These roles involve analyzing satellite or aerial imagery to monitor land use, climate change, natural resources, and disaster management, often requiring skills in GIS software and remote sensing tools like LiDAR and multispectral imaging.

What are popular job titles related to Remote Sensing jobs in Mississippi?

For Remote Sensing jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Remote Sensing jobs in Mississippi look for?

The top searched job categories for Remote Sensing jobs in Mississippi are:

What cities in Mississippi are hiring for Remote Sensing jobs?

Cities in Mississippi with the most Remote Sensing job openings:

Infographic showing various Remote Sensing job openings in Mississippi as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $67,033 per year, or $32.2 per hour.

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Re-posted 4 days ago


University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities


Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Join the Ole Miss Family - Build Your Legacy Here!


What University Of Mississippi employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom