Lu Liang

Associate Professor

University of North Texas

United States

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About

Lu Liang is an Associate Professor at the University of North Texas, USA. His research areas encompass remote sensing, air quality monitoring, and the use of deep learning in environmental applications, as evidenced by his recent work on tree crown delineation, air pollution dynamics, and agricultural field classification. He is dedicated to advancing the understanding of environmental issues through innovative methodologies and technology integration.

Articles (14)

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UNITED STATES

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Xiang Chen

Assistant Professor

University of Connecticut

UNITED STATES

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Lu Liang

Research Interests

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Articles (14)

Leveraging SAM 2 and LiDAR for automated individual tree crown delineation: A comparative evaluation of prompting methods

Evaluating PurpleAir Sensors: Do They Accurately Reflect Ambient Air Temperature?

Exploring spatiotemporal dynamics, seasonality, and time-of-day trends of PM2.5 pollution with a low-cost sensor network: Insights from classic and spatially explicit Markov chains

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions

Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery

Individual structure mapping over six million trees for New York City USA

Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder

A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research

The 2022 China report of the Lancet Countdown on health and climate change: leveraging climate actions for healthy ageing

Gradient convolutional neural network for classification of agricultural fields with contour levee

Urban and air pollution: a multi-city study of long-term effects of urban landscape patterns on air quality trends

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM<sub>2.5</sub> for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

High-resolution mapping of ash (Fraxinus spp.) in bottomland hardwoods to slow Emerald Ash Borer infestation

The migration of training samples towards dynamic global land cover mapping

Collaborators (6)

Ting Xiao

Leiqiu Hu

Benjamin Reade Kreps Runkle

Jake Nelson

Jian Lin

Xiang Chen

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