Dapeng Li

Assistant Professor

The University of Alabama

United States

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About

Dapeng Li is an Assistant Professor at the University of Alabama, USA. His research areas include wildfire evacuation modeling, mapping road data accuracy, and utilizing deep learning for agricultural yield predictions. He also investigates food insecurity and the effectiveness of assistance programs, particularly amid the global pandemic. Additionally, he employs modern technologies such as drones and GIS to address various environmental challenges.

Articles (13)

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2025

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2025

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2024

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2024

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (10)

Yingru Li

University of Central Florida

UNITED STATES

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Wanyun Shao

Assistant Professor

The University of Alabama

UNITED STATES

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Jessica Keralis

Adjunct Professor

University of Maryland at College Park

UNITED STATES

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Shahid Nawaz Khan

South Dakota State University

UNITED STATES

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Assistant Professor

University of Central Arkansas

UNITED STATES

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Dapeng Li

Research Interests

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Articles (13)

Mapping the Completeness and Positional Accuracy of <scp>OpenStreetMap</scp> Road Data at the County Level in the Contiguous United States

A staged wildfire evacuation model for wildland-urban interface communities with transient populations

Using gross primary production data and deep transfer learning for crop yield prediction in the US Corn Belt

Food Insecurity within a Public University and the Role of Food Assistance Programs Amid the Global Pandemic

Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes

Google Street View Images as Predictors of Patient Health Outcomes, 2017–2019

Automatic Volume Calculation and Mapping of Construction and Demolition Debris Using Drones, Deep Learning, and GIS

Using Structure Location Data to Map the Wildland–Urban Interface in Montana, USA

Food Insufficiency among Job-Loss Households during the Pandemic: The Role of Food Assistance Programs

A data-driven approach to improving evacuation time estimates during wildfires for communities with part-time residents in the wildland-urban interface

A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt

Farmers’ adoption and perceived benefits of diversified crop rotations in the margins of U.S. Corn Belt

A Study on the GIS Professional (GISP) Certification Program in the U.S.

Collaborators (10)

Yingru Li

Wanyun Shao

Jessica Keralis

Shahid Nawaz Khan

Christian King

Quynh C Nguyen

Thu T. Nguyen

Kevin Curtin

Yuhan Jiang

Ling Zhang

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