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Remote sensing scientist skills for your resume and career

Updated January 8, 2025
1 min read
Quoted expert
Dr. David Harmon
Below we've compiled a list of the most critical remote sensing scientist skills. We ranked the top skills for remote sensing scientists based on the percentage of resumes they appeared on. For example, 32.6% of remote sensing scientist resumes contained remote sensing as a skill. Continue reading to find out what skills a remote sensing scientist needs to be successful in the workplace.

10 remote sensing scientist skills for your resume and career

1. Remote Sensing

Here's how remote sensing scientists use remote sensing:
  • Established NASA-funded Pan-American Center for Earth & Environmental Studies (PACES) remote sensing center.
  • Provision of GIS/Remote sensing domain expertise to internal and external clients.

2. Data Analysis

Here's how remote sensing scientists use data analysis:
  • Design and implement advanced spatial data analysis projects in support of customers who manage complex natural resource challenges.
  • Conducted research, data analysis, database implementation, and management of historical records for numerous projects directly improving corporate efficiency.

3. LiDAR

Here's how remote sensing scientists use lidar:
  • Reviewed and modified LiDAR point classifications of other technicians for quality control purposes.
  • Proposed, won and executed a C++ software development effort to explore foliage modeling techniques for airborne LIDAR simulation systems.

4. Algorithm Development

Here's how remote sensing scientists use algorithm development:
  • Collaborated on Multi-INT IR&D, providing algorithm development and verification expertise.
  • Develop NEON science products including optimization of data collection and input into algorithm development.

5. 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 scientists use gis:
  • Utilized various GIS software packages including ERDAS ViewFinder, and ArcMap * Presented research at a faculty forum at Talladega College
  • Created different vector data layers for maps in ArcView and ArcMap GIS.

6. 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 scientists use data collection:
  • Provided third party technical consultation regarding hyper-spectral remote sensing, data collection, and warehousing techniques.
  • Led a team for data collection/labeling/management for algorithm developing/evaluation.

7. USGS

Here's how remote sensing scientists use usgs:
  • Maintained close working relationship with personnel at USGS Spectroscopy Laboratory.
  • Collaborated with the USGS's Spectroscopy Laboratory in Denver, CO and NASA's Jet Propulsion Laboratory in Pasadena, CA.

8. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how remote sensing scientists use r:
  • Developed a multivariate/integrated 'Omics' differential expression R package http://software.steenlab.org/fCI.

9. NGA

Here's how remote sensing scientists use nga:
  • Program manager indicated 5 years later that my analysis was still providing valuable guidelines for NGA Enterprise.

10. ArcMap

Here's how remote sensing scientists use arcmap:
  • Use ArcMap and python scripts to manage and check quality of data while overseeing final output.
  • Used ArcMap, ArcCalalog, ArcToolbox, and ArcScene for a variety of applications, e.g.
top-skills

What skills help Remote Sensing Scientists find jobs?

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Dr. David Harmon

Professor of Animal & Food Sciences, University of Kentucky

Opportunities abound. The job opportunities outnumber current graduates. Decide what you want to be good at and then be good at it.
Do you want to know more?
Read more about what experts have to say about remote sensing scientist

List of remote sensing scientist skills to add to your resume

Remote sensing scientist skills

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

  • Remote Sensing
  • Data Analysis
  • LiDAR
  • Algorithm Development
  • GIS
  • Data Collection
  • USGS
  • R
  • NGA
  • ArcMap

Updated January 8, 2025

Zippia Research Team
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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