Gang Shao

Environmental Science · Purdue University West Lafayette

Mid career · publishing since 2003

Remote Sensing and LiDAR Applications Forest ecology and management Remote Sensing in Agriculture Plant Water Relations and Carbon Dynamics Forest Ecology and Biodiversity Studies

Publications

Citations

718

Est. group size

Recurring co-author estimate

Active years

Publishing since 2003

Research summary

AI-generated

Gang Shao's research uses airborne LiDAR (laser-based remote sensing) and other remote sensing tools to study forest structure, canopy dynamics, and biomass in tropical and temperate hardwood forests, including how forests respond to disturbances like fire. Some listed work also touches on hydrological modeling and data science resources, suggesting a mix of environmental remote sensing and applied data/analytics topics.

LiDAR remote sensing of forestsForest structure and biomass estimationCanopy dynamics and disturbance (e.g., fire)Hydrological modelingData science education/resources

Publication output rose to a peak around 2020-2021 but has since become sporadic and lower, including a gap in 2024, indicating a slowing or irregular recent cadence.

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

Publication cadence

Publications per year over the last 10 years — averaging 1.6/year recently

Recent publications

Fire in a Central Amazon forest: Lingering top canopy loss and initial understory regrowth revealed by repeated LiDAR
SSRN Electronic Journal · 2025
Improvement of simulating sub-daily hydrological impacts of rainwater harvesting for landscape irrigation with rain barrels/cisterns in the SWAT model
The Science of The Total Environment · 2021
Automatic Selection of Analytic Platforms with ASAP-DM
2021
Library Guides: Data Science: Data Science Home
2020
About the design changes required for enabling ECM systems to exploit cloud technology
OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · 2020
Library Guides: Data Science: Data Science Essentials
2020
Library Guides: Data Science: Learn Data Science at Purdue Univeristy
2020
Library Guides: Data Science: Data Science Online Learning
2020
Optimizing the Remote Detection of Tropical Rainforest Structure with Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and Spatial Sampling
Remote Sensing · 2019
Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar
Remote Sensing of Environment · 2018
Quantification of central hardwood forest structure and aboveground biomass with low-density airborne lidar data
Purdue e-Pubs (Purdue University System) · 2016
Improving Lidar-based Aboveground Biomass Estimation with Site Productivity for Central Hardwood Forests, USA
AGU Fall Meeting Abstracts · 2016

Publishes in

Remote Sensing×3
Remote Sensing of Environment×2
Environmental Modelling & Software×2
SSRN Electronic Journal×2
ISPRS Journal of Photogrammetry and Remote Sensing×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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