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Remote Sensing Jobs in Lawrence, KS (NOW HIRING)

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing platforms * Understanding of IT protocols, networking, and database management * Excellent technical ...

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Remote Sensing information

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.
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What cities near Lawrence, KS are hiring for Remote Sensing jobs?

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Infographic showing various Remote Sensing job openings in Lawrence, KS as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Development Engineer

Topeka, KS • On-site, Remote

Wood Plc
See more jobs at Wood Plcexternal

Full-time

Re-posted 22 days ago

Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is seeking is seeking a highly motivated Software Development Engineer with Water Resources software development experience to join our Kansas Operations. Qualified applicants are required to have experience with water resources modeling applications, Information Management & GIS, Python and R programming. Our ideal candidate prefers to focus on water resources related projects and has a degree either in computer science or computer information systems. Applicants with a minimum of 5-10 years of experience are preferred. 

Key Responsibilities: 

  • Work as part of a team to develop software applications for engineering and information management projects  
  • Build custom applications and tools that integrate with other H&H engineering software programs such as HEC-RAS 
  • Utilize open-source GIS-based tools to develop H&H modeling suites for flood modeling applications 
  • Analyze and develop innovative solutions to improve upon existing applications 
  • Work within a team of programmers nationally, predominantly focused on water resources application development in support of our flood hazard mapping program, potentially including the maintenance and upgrade of existing tools 
  • Support project managers in the development of custom applications to improve process efficiencies and ensure project success, as well as conveying potential application development concepts to our clients 
Skills / Qualifications

Role Requirements:

  • BS degree in Computer Science or Information Systems 
  • 5-10 years of experience supporting water resource applications and/or information management projects 
  • Python, C#, JavaScript experience is a must 
  • Desired experience of applicants includes:  
  • R Scripting 
  • IM/GIS Applications (i.e. ArcGIS, QGIS, Asset management software) 
  • Intermediate knowledge of HPC / Data Science 
  • Water Resources Engineering Modeling Software  
  • USACE Software Application Development (i.e. HEC-RAS, HEC-HMS, etc.) 
  • Supplemental experience in one or more of the following areas will also be considered in addition to those required above:  
  • ArcGIS Online and Web Mapping Applications 
  • Batch Scripting  
  • SQL Database Management and analysis 
  • Fortran Programming 
  • Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) 
  • Field Collection/Mobile Applications (IOS, Android, etc.) and associated Esri field collection apps (FieldMaps 
  • Familiarity with cloud computing platforms (AWS, Azure, Google Cloud, etc.) 
  • Experience with Machine Learning, Deep Learning, and/or AI 
  • Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing platforms 
  • Understanding of IT protocols, networking, and database management 
  • Excellent technical writing and communication skills 
  • Successful candidates will have an energetic and positive attitude toward working as part of a team and with multiple clients on diverse projects 
  • Must pass drug test, background check and must have a satisfactory driving record in accordance with the Company's driving (MVR) policy 
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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