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Remote sensing technician vs geospatial extractor, analysis

The differences between remote sensing technicians and geospatial extractors, analysis can be seen in a few details. Each job has different responsibilities and duties. It typically takes 4-6 years to become both a remote sensing technician and a geospatial extractor, analysis. Additionally, a remote sensing technician has an average salary of $69,675, which is higher than the $61,750 average annual salary of a geospatial extractor, analysis.

Remote sensing technician vs geospatial extractor, analysis overview

Remote Sensing TechnicianGeospatial Extractor, Analysis
Yearly salary$69,675$61,750
Hourly rate$33.50$29.69
Growth rate9%3%
Number of jobs19,9622,771
Job satisfaction--
Most common degreeBachelor's Degree, 67%Bachelor's Degree, 88%
Average age3838
Years of experience66

Remote sensing technician vs geospatial extractor, analysis salary

Remote sensing technicians and geospatial extractors, analysis have different pay scales, as shown below.

Remote Sensing TechnicianGeospatial Extractor, Analysis
Average salary$69,675$61,750
Salary rangeBetween $35,000 And $137,000Between $28,000 And $132,000
Highest paying City--
Highest paying state--
Best paying company--
Best paying industry--

Differences between remote sensing technician and geospatial extractor, analysis education

There are a few differences between a remote sensing technician and a geospatial extractor, analysis in terms of educational background:

Remote Sensing TechnicianGeospatial Extractor, Analysis
Most common degreeBachelor's Degree, 67%Bachelor's Degree, 88%
Most common majorGeographyEnvironmental Science
Most common collegeUniversity of California, BerkeleyNorthwestern University

Remote sensing technician vs geospatial extractor, analysis demographics

Here are the differences between remote sensing technicians' and geospatial extractors, analysis' demographics:

Remote Sensing TechnicianGeospatial Extractor, Analysis
Average age3838
Gender ratioMale, 76.3% Female, 23.7%Male, 42.9% Female, 57.1%
Race ratioBlack or African American, 9.6% Unknown, 5.7% Hispanic or Latino, 17.0% Asian, 10.5% White, 56.3% American Indian and Alaska Native, 1.0%Black or African American, 6.8% Unknown, 5.7% Hispanic or Latino, 12.4% Asian, 11.4% White, 62.7% American Indian and Alaska Native, 1.0%
LGBT Percentage8%8%

Differences between remote sensing technician and geospatial extractor, analysis duties and responsibilities

Remote sensing technician example responsibilities.

  • Use ArcMap and python scripts to manage and check quality of data while overseeing final output.
  • Assure that all documentation within the health record is being meet by the CMS guidelines as well.
  • Research and resolve insurance under paid hospital accounts base on sign contract, Medicare or Medicaid pricing methods.
  • Batch filter LIDAR point cloud for starting point, and manually analyze and reclassify points not in true grind.
  • Convert and process AutoCAD data into geographic data.
  • Review and modify LiDAR point classifications of other technicians for quality control purposes.
  • Show more

Geospatial extractor, analysis example responsibilities.

  • Implement and run python scripts and SQL queries to automate complex GIS processes and to extract specific information from data sets.
  • Work with survey integration in NCS, KDOT, CDOT, MoDOT and NMDOT specs.
  • Isolate harmonic signal frequencies, amplitudes & phases from a random signal in MATLAB using FFT.
  • Draft, evaluate and perform quality controls of hundreds of intelligence product reports of aor-base SIGINT information and environmental reports.
  • Operate an ImageStation SSK soft-copy workstation in both a classify mapping department and a commercial mapping department.
  • Collaborate with DCGS-A train contractors during ArcGIS block of instruction to provide subject matter experience and revise training materials.

Remote sensing technician vs geospatial extractor, analysis skills

Common remote sensing technician skills
  • Remote Sensing, 32%
  • LiDAR, 23%
  • Image Processing, 11%
  • GPS, 11%
  • GIS, 7%
  • Data Processing, 4%
Common geospatial extractor, analysis skills

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