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Finn Butler
Remote Sensing Certified Mapping Scientist
Summary
Experienced Remote Sensing Certified Mapping Scientist with a proven track record of utilizing remote sensing imagery and LiDAR data for land use and land cover classification. Expertise in developing and implementing advanced algorithms for image processing and feature extraction, automating workflows and enhancing data accuracy in mapping projects. Proficient in GIS (Geographic Information Systems) and computer vision techniques to create high-resolution maps and models for infrastructure planning, disaster management, and natural resource management. Excellent communication and stakeholder management skills, with a strong ability to gather requirements and provide technical expertise. Committed to delivering quality mapping products that meet project specifications and contribute to informed decision-making.
Education
Master’s/PhD in Remote Sensing
August 2016
Skills
- Geographic Information Systems (GIS)
- Remote Sensing Image Processing
- Orthorectification
- Lidar Data Processing
- Digital Elevation Model (DEM) Generation
- Satellite Imagery Analysis
Work Experience
Remote Sensing Certified Mapping Scientist
- Participated in stakeholder meetings and workshops to gather requirements and provide technical expertise, facilitating project success.
- Monitored and evaluated mapping projects, ensuring quality control, accuracy, and adherence to project specifications.
- Collaborated with interdisciplinary teams to integrate remote sensing data into GIS frameworks, optimizing data integration and analysis.
- Created interactive web maps and dashboards, enabling stakeholders to visualize and disseminate mapping data effectively.
Remote Sensing Certified Mapping Scientist
- Utilized remote sensing imagery and LiDAR data for land use and land cover classification, extracting crucial information for urban planning and environmental monitoring.
- Developed and implemented advanced algorithms for image processing and feature extraction, automating workflows and enhancing data accuracy in mapping projects.
- Utilized GIS (Geographic Information Systems) and computer vision techniques to create highresolution maps and models for infrastructure planning, disaster management, and natural resource management.
- Conducted field surveys to validate remote sensing data, ensuring accuracy and reliability of mapping products.
Accomplishments
- Developed a novel algorithm for classifying land cover types using highresolution satellite imagery, resulting in a 15% improvement in accuracy over existing methods
- Led a team of scientists in creating a comprehensive digital elevation model for a region of Antarctica, which was used by researchers to estimate ice loss and project future sea level rise
- Collaborated with engineers to develop a prototype sensor for collecting hyperspectral data from unmanned aerial vehicles, which enabled the identification of crop diseases at an early stage
- Trained and mentored junior scientists in remote sensing data analysis techniques, fostering their growth and development in the field
- Designed and implemented a cloudbased platform for sharing and analyzing remote sensing data, which facilitated collaboration among scientists worldwide
Awards
- Received the Excellence in Remote Sensing Mapping award from the American Society for Photogrammetry and Remote Sensing
- Recognized for outstanding contributions to the field of remote sensing mapping by the International Society for Digital Earth
- Honored with the Young Scientist of the Year award by the European Space Agency for groundbreaking work in remote sensing applications
- Received a research grant from the National Science Foundation to investigate the use of remote sensing for monitoring coastal erosion
Certificates
- Remote Sensing Certified Mapping Scientist (RSCMS)
- GIS Professional (GISP)
- American Society for Photogrammetry and Remote Sensing (ASPRS) Certificate in Remote Sensing
- National Institute of Standards and Technology (NIST) Geospatial Technology Professional (GTP) Certificate
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How To Write Resume For Remote Sensing Certified Mapping Scientist
- Quantify your accomplishments with specific metrics whenever possible.
- Highlight your skills in both remote sensing and GIS.
- Showcase your experience in developing and implementing new algorithms.
- Demonstrate your ability to work independently and as part of a team.
- Proofread your resume carefully before submitting it.
Essential Experience Highlights for a Strong Remote Sensing Certified Mapping Scientist Resume
- Utilize remote sensing imagery and LiDAR data for land use and land cover classification, extracting crucial information for urban planning and environmental monitoring.
- Develop and implement advanced algorithms for image processing and feature extraction, automating workflows and enhancing data accuracy in mapping projects.
- Utilize GIS (Geographic Information Systems) and computer vision techniques to create high-resolution maps and models for infrastructure planning, disaster management, and natural resource management.
- Conduct field surveys to validate remote sensing data, ensuring accuracy and reliability of mapping products.
- Participate in stakeholder meetings and workshops to gather requirements and provide technical expertise, facilitating project success.
- Monitor and evaluate mapping projects, ensuring quality control, accuracy, and adherence to project specifications.
Frequently Asked Questions (FAQ’s) For Remote Sensing Certified Mapping Scientist
What is remote sensing?
Remote sensing is the science of acquiring information about an object or phenomenon without making physical contact with it. In mapping, remote sensing is used to collect data about the Earth’s surface from satellites, airplanes, and other platforms.
What is LiDAR?
LiDAR (Light Detection and Ranging) is a remote sensing technology that uses lasers to measure the distance between the sensor and the target. LiDAR data can be used to create high-resolution maps and models of the Earth’s surface.
What is GIS?
GIS (Geographic Information Systems) is a computer system that allows users to create, manage, and analyze spatial data. GIS can be used to create maps, models, and other visualizations that help us understand the world around us.
What are the benefits of using remote sensing for mapping?
Remote sensing can be used to collect data about the Earth’s surface quickly, efficiently, and cost-effectively. Remote sensing data can also be used to create maps and models that are more accurate and detailed than those created using traditional methods.
What are the challenges of using remote sensing for mapping?
One challenge of using remote sensing for mapping is that the data can be affected by factors such as the weather, the time of day, and the sensor’s position. Another challenge is that remote sensing data can be complex and difficult to interpret.
What are the career opportunities for remote sensing certified mapping scientists?
Remote sensing certified mapping scientists can find work in a variety of fields, including government, academia, and the private sector. They can work as mapping scientists, GIS analysts, or remote sensing specialists.