LabCompass

Songlin Fei

Environmental Science · Purdue University West Lafayette

OpenAlex
Mid career · publishing since 2016
Remote Sensing and LiDAR ApplicationsRemote Sensing in AgricultureRemote-Sensing Image ClassificationSpecies Distribution and Climate Change3D Surveying and Cultural Heritage

Publications

14

Citations

1

Est. group size

—

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Songlin Fei's research focuses on using remote sensing, LiDAR, and computer vision tools (including smartphone sensors and deep learning) to measure forest and tree characteristics, and on studying how invasive plant species spread and establish across landscapes and elevations compared to native species. This work combines environmental monitoring technology with ecological questions about biodiversity and species distribution under environmental change.

Remote sensing and LiDAR for forestryTree and forest measurement technologyInvasive species spread and distributionDeep learning for ecological data analysisSpecies distribution and biotic resistance

Based on the available data, publication output was minimal or absent for several years in the middle of the decade but shows a marked increase in the most recent two years (2025-2026), suggesting recently growing activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
172018: 2 publications181920212223242025: 4 publications252026: 6 publications626
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • Remote Sensing of Environment×2
  • Figshare×2
  • Journal of Forestry×1
  • ScholarSpace (University of Hawaii at Manoa)×1
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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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