LabCompass

Jinha Jung

Environmental Science · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1983Rising activity
Remote Sensing and LiDAR ApplicationsRemote Sensing in Agriculture3D Surveying and Cultural HeritageSmart Agriculture and AILand Use and Ecosystem Services

Publications

150

Citations

3,080

Est. group size

~11

Recurring co-author estimate

Active years

44

Publishing since 1983

Research summary
AI-generated

Jinha Jung's research focuses on using drones (uncrewed aerial systems), satellite imagery, and LiDAR (a laser-based 3D scanning technology) to monitor crops, land, and infrastructure. Much of the work applies machine learning to imagery for tasks like measuring plant growth, detecting plant disease, extracting field plots, and analyzing 3D terrain or rock surfaces. The lab develops practical tools such as web platforms and digital-twin models to help with agricultural decision-making and infrastructure management.

Drone (UAS) remote sensing for agricultureCrop phenotyping and growth monitoringMachine learning for image analysisLiDAR and 3D reconstructionSatellite imagery processing

Publication output has grown substantially over the past decade, rising from about 5 papers per year in 2017 to a peak of around 20 per year in 2023-2024, with continued high output in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 14.6/year recently
2017: 5 publications172018: 10 publications182019: 15 publications192020: 11 publications202021: 8 publications212022: 10 publications222023: 21 publications21232024: 20 publications242025: 18 publications252026: 4 publications26
Recent publications
Publishes in
  • Remote Sensing×19
  • Computers and Electronics in Agriculture×7
  • The Plant Phenome Journal×4
  • SSRN Electronic Journal×4
  • arXiv (Cornell University)×4
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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