Post job

Geospatial scientist vs spectral scientist

The differences between geospatial scientists and spectral scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a geospatial scientist and a spectral scientist. Additionally, a geospatial scientist has an average salary of $111,782, which is higher than the $106,296 average annual salary of a spectral scientist.

The top three skills for a geospatial scientist include GIS, R and python. The most important skills for a spectral scientist are DOD, hyperspectral imaging, and erdas.

Geospatial scientist vs spectral scientist overview

Geospatial ScientistSpectral Scientist
Yearly salary$111,782$106,296
Hourly rate$53.74$51.10
Growth rate16%16%
Number of jobs42,71841,842
Job satisfaction--
Most common degreeBachelor's Degree, 60%Master's Degree, 40%
Average age4141
Years of experience44

Geospatial scientist vs spectral scientist salary

Geospatial scientists and spectral scientists have different pay scales, as shown below.

Geospatial ScientistSpectral Scientist
Average salary$111,782$106,296
Salary rangeBetween $74,000 And $168,000Between $68,000 And $164,000
Highest paying City--
Highest paying state--
Best paying company--
Best paying industry--

Differences between geospatial scientist and spectral scientist education

There are a few differences between a geospatial scientist and a spectral scientist in terms of educational background:

Geospatial ScientistSpectral Scientist
Most common degreeBachelor's Degree, 60%Master's Degree, 40%
Most common majorGeographyPhysics
Most common collegeUniversity of California, BerkeleyNorthwestern University

Geospatial scientist vs spectral scientist demographics

Here are the differences between geospatial scientists' and spectral scientists' demographics:

Geospatial ScientistSpectral Scientist
Average age4141
Gender ratioMale, 81.0% Female, 19.0%Male, 100.0% Female, 0.0%
Race ratioBlack or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage9%9%

Differences between geospatial scientist and spectral scientist duties and responsibilities

Geospatial scientist example responsibilities.

  • Develop and implement tools in both IDL/ENVI and Erdas to automate preprocessing and enhancement of imagery data for exploitation and interpretation.
  • Test multiple HSI detection algorithms against hundreds of different camouflage schemes and materials.
  • Compare the performance of multiple HSI detection algorithms to detect and discriminate among different camouflage schemes and materials.
  • Develop probabilistic models of disease progression to predict future healthcare utilization and capitation revenue.
  • Communicate defects, encounter during regression test and followed-up with developers until all issues are resolved.
  • Require to acquire geospatial information and extract essential elements from a wide array of multi-intelligence data to include Sigint and Masint.
  • Show more

Spectral scientist example responsibilities.

  • Develop and implement tools in both IDL/ENVI and Erdas to automate preprocessing and enhancement of imagery data for exploitation and interpretation.
  • Require to acquire geospatial information and extract essential elements from a wide array of multi-intelligence data to include Sigint and Masint.
  • Assay results are used to screen compounds to ensure that high quality candidates are selected for subsequent pharmacodynamic and pharmacokinetic experiments.

Geospatial scientist vs spectral scientist skills

Common geospatial scientist skills
  • GIS, 36%
  • R, 35%
  • Python, 15%
  • Visualization, 14%
Common spectral scientist skills
  • DOD, 74%
  • Hyperspectral Imaging, 9%
  • Erdas, 9%
  • MASINT, 8%

Browse computer and mathematical jobs