Guofan Shao

Guofan Shao

Purdue University

H-index: 46

North America-United States

About Guofan Shao

Guofan Shao, With an exceptional h-index of 46 and a recent h-index of 30 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Remote sensing, forestry, urbanization, modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Insights into citizens’ experiences of cultural ecosystem services in urban green spaces based on social media analytics

Urban trees: how to maximize their benefits for humans and the environment

Measuring tree stem diameters and straightness with depth-image computer vision

Integrating forest structural diversity measurement into ecological research

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Considerable role of urban functional form in low-carbon city development

A Robust Stepwise Clustering Approach to Detect Individual Trees in Temperate Hardwood Plantations using Airborne LiDAR Data

Multi-scenario simulation to predict ecological risk posed by urban sprawl with spontaneous growth: A case study of Quanzhou

Guofan Shao Information

University

Position

___

Citations(all)

7817

Citations(since 2020)

3858

Cited By

5432

hIndex(all)

46

hIndex(since 2020)

30

i10Index(all)

125

i10Index(since 2020)

73

Email

University Profile Page

Google Scholar

Guofan Shao Skills & Research Interests

Remote sensing

forestry

urbanization

modeling

Top articles of Guofan Shao

Insights into citizens’ experiences of cultural ecosystem services in urban green spaces based on social media analytics

Landscape and Urban Planning

2024/4/1

Urban trees: how to maximize their benefits for humans and the environment

Nature

2024

Lina Tang
Lina Tang

H-Index: 3

Guofan Shao
Guofan Shao

H-Index: 24

Measuring tree stem diameters and straightness with depth-image computer vision

Journal of Forestry Research

2023/10

Integrating forest structural diversity measurement into ecological research

Ecosphere

2023/9

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways

Remote Sensing

2023/4/18

Lina Tang
Lina Tang

H-Index: 3

Guofan Shao
Guofan Shao

H-Index: 24

Considerable role of urban functional form in low-carbon city development

Journal of Cleaner Production

2023/3/15

Guofan Shao
Guofan Shao

H-Index: 24

Lina Tang
Lina Tang

H-Index: 3

A Robust Stepwise Clustering Approach to Detect Individual Trees in Temperate Hardwood Plantations using Airborne LiDAR Data

Remote Sensing

2023/2/23

Multi-scenario simulation to predict ecological risk posed by urban sprawl with spontaneous growth: A case study of Quanzhou

International Journal of Environmental Research and Public Health

2022/11/21

Lina Tang
Lina Tang

H-Index: 3

Guofan Shao
Guofan Shao

H-Index: 24

Automated Inventory of Broadleaf Tree Plantations with UAS Imagery

Remote Sensing

2022/4/16

Precise quantification of land cover before and after planned disturbance events with UAS-derived imagery

Drones

2022/2/18

High-resolution canopy height model generation and validation using USGS 3DEP LiDAR data in Indiana, USA

Remote Sensing

2022/2/15

Towards sustainable greener Earth

2022/1/2

Guofan Shao
Guofan Shao

H-Index: 24

Correction to: Commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing

Journal of Forestry Research

2021/12

A Tribute to Dr. Jingzhu Zhao, Editor-in-Chief (2010-2021)

2021/10/3

Guofan Shao
Guofan Shao

H-Index: 24

Introducing image classification efficacies

IEEE Access

2021/9/29

Application of postprocessing kinematic methods with UAS remote sensing in forest ecosystems

Journal of Forestry

2021/9/1

An indicator framework for assessing cooperative cross-border conservation in the Karakoram-Himalayan region

Ecological Indicators

2021/7/1

Assessing the benefits and economic feasibility of stand improvement for central hardwood forests

Forest Science

2021/6/1

Ensembles of multiple spectral water indices for improving surface water classification

International Journal of Applied Earth Observation and Geoinformation

2021/4/1

Quantifying spatiotemporal changes in human activities induced by COVID-19 pandemic using daily nighttime light data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021/2/18

See List of Professors in Guofan Shao University(Purdue University)