• Recruiters can’t gauge the scale of your contributions
• ATS often scores resumes higher when numbers are present
• Hiring managers compare candidates on measurable results

• Add specific metrics such as area covered, accuracy improvement, or cost savings
• Use percentages, acres, km², or dollar figures where appropriate
• Tie each metric to a business outcome or research objective

"Processed satellite imagery for land‑use classification."

"Processed 1,200 km² of multispectral satellite imagery, increasing land‑use classification accuracy by 18% and reducing manual review time by 30 hours per month."

• Non‑technical recruiters may not understand specialized terms
• ATS keyword matching can miss isolated acronyms
• The resume becomes unreadable at a glance

• Pair each technical term with a brief outcome (e.g., "Applied ENVI for atmospheric correction, resulting in clearer NDVI maps")
• Limit acronyms to the first mention with the full name
• Translate tool‑specific work into business value

"Utilized ENVI, ERDAS, and IDL for radiometric correction."

"Utilized ENVI and ERDAS to perform radiometric correction, improving image clarity and enabling a 12% increase in vegetation index accuracy."

• Gaps or overlapping dates raise red flags
• ATS may flag inconsistent date formats
• Hiring managers can’t see growth trajectory

• Standardize dates to MM/YYYY
• List positions chronologically with clear start/end months
• If there are gaps, add brief freelance or training notes

"Remote Sensing Analyst – 2018 to 2020\nGIS Technician – 2020‑2022"

"Remote Sensing Analyst | Jan 2018 – Dec 2020\nGIS Technician | Jan 2021 – Dec 2022"

• Recruiters may overlook a file with a vague name
• ATS sometimes extracts metadata for candidate ID
• Unprofessional naming can signal lack of attention to detail

• Rename the file to FirstName_LastName_RemoteSensingSpecialist.pdf
• Add document properties: Title, Author, Keywords (e.g., LiDAR, GIS)

"Resume_Final.pdf"

"Alex_Martinez_RemoteSensingSpecialist.pdf"

• ATS filters out resumes missing core industry terms
• Hiring managers scan for specific tools and techniques
• Your expertise may be hidden from keyword searches

• Incorporate top keywords such as LiDAR, SAR, hyperspectral, GIS, ENVI, ERDAS, image classification, radiometric correction, and geospatial analysis throughout the resume
• Place them in the Summary, Skills, and Experience sections

"Skilled in data analysis and mapping."

"Skilled in LiDAR point‑cloud processing, SAR image interpretation, hyperspectral classification, and GIS‑based spatial analysis using ENVI and ERDAS."