Songlin Fei
Environmental Science · Purdue University West Lafayette
Publications
262
Citations
6,852
Est. group size
~28
Recurring co-author estimate
Active years
24
Publishing since 2003
Songlin Fei's research centers on forest ecology and remote sensing, particularly using LiDAR (laser-based 3D scanning), drones, and machine learning to measure and monitor forests, trees, and ecosystems. Recent work includes automated forest inventory systems, tree species classification, plant invasion prediction, and canopy structure analysis using AI-based methods. This work blends environmental science with computational tools like neural networks and geospatial data processing to support forest management and ecological monitoring.
Publication output has grown substantially over the last decade, rising from about 11-18 papers per year in 2017-2019 to a peak of 37 in 2023, with continued high output (24-33 papers/year) through 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
- AI-based urban layout generation model
npj Urban Sustainability · 2026
- Data for: Spatial prediction of plant invasion using a hybrid of machine learning and geostatistical method
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Data for: Spatial prediction of plant invasion using a hybrid of machine learning and geostatistical method
Zenodo (CERN European Organization for Nuclear Research) · 2026
- <i>TreeStructor</i>: Forest Reconstruction With Neural Ranking
IEEE Transactions on Geoscience and Remote Sensing · 2025
- Gradient surface metrics of ecosystem structural diversity and their relationship with productivity across macrosystems
Ecosphere · 2025
- Military service and depression risk among American adults: a cross-sectional analysis based on NHANES data from 2011 to 2023
BMJ Military Health · 2025
- Environmental Sensitivity in AI Tree Bark Detection: Identifying Key Factors for Improving Classification Accuracy
Algorithms · 2025
- General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2025
- Modality-specific feature design for species classification in forest inventories using TLS and UAS LiDAR
Frontiers in Forests and Global Change · 2025
- Errata to “<i>TreeStructor</i>: Forest Reconstruction With Neural Ranking”
IEEE Transactions on Geoscience and Remote Sensing · 2025
- Robustness of ecological indicators to species misidentification in the national forest inventory of the United States
Ecosphere · 2025
- Transforming Leaf-Off Lidar to Leaf-On Canopy Height Models Using Deep Learning
SSRN Electronic Journal · 2025
- Integration of Near-Proximal and Proximal Lidar Sensing for Fine-Resolution Forest Inventory
Photogrammetric Engineering & Remote Sensing · 2025
- Framework for the Georeferencing and Processing of BikePack LiDAR Data for Urban Tree Mapping
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2025
- Remote Sensing×10
- Zenodo (CERN European Organization for Nuclear Research)×10
- Frontiers in Ecology and the Environment×7
- The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences×6
- SSRN Electronic Journal×6
- Akane Abbasi
Environmental Science · Purdue University West Lafayette
- Brady S. Hardiman
Environmental Science · Purdue University West Lafayette
- Ankita Mitra
Environmental Science · Purdue University West Lafayette
- Gang Shao
Environmental Science · Purdue University West Lafayette
- Raja Manish
Environmental Science · Purdue University West Lafayette
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.
Claim or correct this profile