Hunsoo Song
Environmental Science · Purdue University West Lafayette
Publications
35
Citations
134
Est. group size
~2
Recurring co-author estimate
Active years
8
Publishing since 2019
Hunsoo Song works on remote sensing methods for mapping and monitoring landscapes, combining LiDAR (laser-based 3D surface scanning), satellite imagery, and machine learning to study things like tree canopy height, land cover, urban heat, and flood risk. This research develops computational tools and datasets that turn raw sensor data into usable maps of vegetation, urban surfaces, and water bodies, often making code and data openly available.
Publication output has grown substantially over the last decade, rising from little to no output in the late 2010s to a peak of activity in 2024 and 2026, indicating an increasingly active and productive recent period.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Source code and supporting materials for "Transforming Leaf-off LiDAR to Leaf-on Canopy Height Models Using Deep Learning"
Open MIND · 2026
- Source code and supporting materials for "Transforming Leaf-off LiDAR to Leaf-on Canopy Height Models Using Deep Learning"
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Recursive pseudo-label reuse in land-cover mapping with geospatial foundation embeddings (reference implementation)
Open MIND · 2026
- Recursive pseudo-label reuse in land-cover mapping with geospatial foundation embeddings (reference implementation)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Recursive pseudo-label reuse in land-cover mapping with geospatial foundation embeddings (reference implementation)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Recursive pseudo-label reuse in land-cover mapping with geospatial foundation embeddings (reference implementation)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Paired Sentinel-2, NEON hyperspectral, and AlphaEarth embedding patches across 43 NEON sites for hyperspectral reconstruction
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Paired Sentinel-2, NEON hyperspectral, and AlphaEarth embedding patches across 43 NEON sites for hyperspectral reconstruction
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Integrating Sparse LiDAR and Multisensor Time-Series Imagery From Spaceborne Platforms for Deriving Localized Canopy Height Model
IEEE Transactions on Geoscience and Remote Sensing · 2025
- Mapping the dynamic thermal recovery of urban landscapes to enhance post-extreme heat sensing
2025
- Reshaping landscape factorization through 3D landscape clustering for urban temperature studies
Sustainable Cities and Society · 2024
- Cadastral-to-Agricultural: A Study on the Feasibility of Using Cadastral Parcels for Agricultural Land Parcel Delineation
Remote Sensing · 2024
- Unsupervised surface water mapping with airborne LiDAR data by leveraging physical properties of water
GIScience & Remote Sensing · 2024
- AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing
2024
- AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing
arXiv (Cornell University) · 2024
- Zenodo (CERN European Organization for Nuclear Research)×6
- arXiv (Cornell University)×5
- Remote Sensing×4
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing×2
- SSRN Electronic Journal×2
- Jinha Jung
Environmental Science · Purdue University West Lafayette
- Joshua Carpenter
Environmental Science · Purdue University West Lafayette
- Bina Thapa
Environmental Science · Purdue University West Lafayette
- Ankita Mitra
Environmental Science · Purdue University West Lafayette
- Songlin Fei
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