Heejoon Choi
Environmental Science · Purdue University West Lafayette
Publications
19
Citations
153
Est. group size
~4
Recurring co-author estimate
Active years
28
Publishing since 1998
Heejoon Choi's research uses remote sensing technologies, especially LiDAR (a laser-based sensing method that measures 3D structure of vegetation and landscapes), to study urban forests, land-use change, and ecological connectivity in cities. Work spans applications like tracking tree canopy growth over time, mapping habitats for urban wildlife such as birds, and analyzing land-use and ecosystem service changes in protected or rapidly urbanizing areas. The research combines airborne, terrestrial, and mobile LiDAR systems with land-cover mapping to support urban planning and conservation.
Publication output has grown over the last decade, rising from roughly 1-2 papers per year in 2018-2021 to 2-4 papers per year in recent years (2023-2025).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Comparing tree structures derived among airborne, terrestrial and mobile LiDAR systems in urban parks
GIScience & Remote Sensing · 2022
- Complex spatiotemporal changes in land-use and ecosystem services in the Jeju Island UNESCO heritage and biosphere site (Republic of Korea)
Environmental Conservation · 2022
- LiDAR-derived three-dimensional ecological connectivity mapping for urban bird species
Landscape Ecology · 2021
- Estimation of Ecological Connectivity in a City Based on Land Cover and Urban Habitat Maps
Sustainability · 2020
- Urban Forest Growth and Gap Dynamics Detected by Yearly Repeated Airborne Light Detection and Ranging (LiDAR): A Case Study of Cheonan, South Korea
Remote Sensing · 2019
- Spatial growth of Phnom Penh, Cambodia (1973–2015): patterns, rates, and socio-ecological consequences
HAL (Le Centre pour la Communication Scientifique Directe) · 2019
- Quantifying vertical distribution of the volume of leaves by using bi-temporal terrestrial LiDAR data taken in the leaf-off season and leaf-on season
EGU General Assembly Conference Abstracts · 2018
- Estimating urban forest growth by comparing canopy height models generated from bi-temporal airborne LiDAR dataset
EGU General Assembly Conference Abstracts · 2018
- Urban forestry & urban greening×2
- EGU General Assembly Conference Abstracts×2
- Journal of Ecology×1
- Ecology×1
- GIScience & Remote Sensing×1
- Guofan Shao
Environmental Science · Purdue University West Lafayette
- Amit Kumar
Environmental Science · Purdue University West Lafayette
- Samantha Hamlin
Environmental Science · Indiana University
- Wenbo Li
Environmental Science · Purdue University West Lafayette
- Jean‐Michel Guldmann
Environmental Science · The Ohio State University
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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