Shengjie Kris Liu

Spatial Sciences Institute

Dornsife College of Letters, Arts and Sciences

University of Southern California

Email: liusheng [at] usc.edu

Résumé/CV | Google Scholar | USC Profiles

Research Topics

AI for Earth Observation
Hyperspectral Imaging
Urban Climate
Artificial Light at Night

Publications (show selected / show all by date / show all by topic)

Research Topics: AI for Earth Observation / Urban Climate / Artificial Light at Night

(* indicate equal contribution)

2025

Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification

Shengjie Liu, Siqin Wang, Lu Zhang

arXiv Preprint

Effects of urban green space on human cognition: A systematic search and scoping review

Shengjie Liu, Hung Chak (Derrick) Ho, John P. Wilson

Urban Climate 2025 / Paper

2024

Fine-Scale Mapping of Particulate Matter Using Landsat Imagery and Low-Cost Sensor Data from Purpleair: A Case Study of Los Angeles

Shengjie Kris Liu, Siqin Wang

IGARSS 2024 / Paper / Preprint

Using Time-Series Satellite Imagery to Detect Artificial Light At Night: the Case of Luojia-1 and International Space Station

Shengjie Kris Liu, Chu Wing So, Jason Chun Shing Pun

IGARSS 2024 / Paper / Preprint

Racial and Ethnic Minorities Disproportionately Exposed to Extreme Daily Temperature Variation in the United States

Shengjie Liu, Emily Smith-Greenaway

PNAS Nexus 2024 / Paper

Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction

Shengjie Liu, Lu Zhang

IEEE GRSL 2024 / Paper / Data + Code

Effects of socioeconomic status and greenspace on respiratory emergency department visits under short-term temperature variations: An age-stratified case time-series study

Shengjie Liu, Hung Chak (Derrick) Ho

Social Science & Medicine 2024 / Paper

2023

Spatial variability of diurnal temperature range and its associations with local climate zone, neighborhood environment and mortality in Los Angeles

Shengjie Liu, An-Min Wu, Hung Chak (Derrick) Ho

Urban Climate 2023 / Paper

Using Multi-Source Data to Capture the Impacts of Earth Hour 2021: A Case Study of Hong Kong

Shengjie Liu, Chu Wing So, Xiang Feng Foo, Jason Chun Shing Pun

IGARSS 2023 / Paper / Preprint

Oral Presentation

Using High-Resolution Nighttime Remote Sensing Data to Identify Light Sources in Hong Kong

Shengjie Liu, Chu Wing So, Hung Chak (Derrick) Ho, Qian Shi, Jason Chun Shing Pun

IGARSS 2023 / Paper / Preprint

Oral Presentation

2022

Multiple angle observations would benefit visible band remote sensing using night lights

JGR Atmospheres 2022 / Paper

Estimating PM2.5 and PM10 on Zhuhai-1 Hyperspectral Imagery

Shengjie Liu, Qian Shi

IGARSS 2022 / Paper / Preprint

Oral Presentation

2021

Analyzing Long-Term Artificial Light at Night Using VIIRS Monthly Product with Land Use Data: Preliminary Result of Hong Kong

Shengjie Liu, Chu Wing So, Jason Chun Shing Pun

IGARSS 2021 / Paper / Preprint

Multi-Label Local Climate Zone Mapping as Scene Classification Using Very High Resolution Imagery: Preliminary Result of Hong Kong

Shengjie Liu, Qian Shi

IGARSS 2021 / Paper / Preprint

Crop mapping using sentinel full-year dual-polarized SAR data and a CPU-optimized convolutional neural network with two sampling strategies

Shengjie Liu, Zhize Zhou, Huaxiang Ding, Yuanjun Zhong, Qian Shi

IEEE JSTARS 2021 / Paper

2020

Few-shot Hyperspectral Image Classification with Unknown Classes Using Multitask Deep Learning

Shengjie Liu, Qian Shi, Liangpei Zhang

IEEE TGRS 2020 / Paper / Preprint / Project Page

ESI Highly Cited Paper

Active ensemble deep learning for polarimetric synthetic aperture radar image classification

Shengjie Liu*, Haowen Luo*, Qian Shi

IEEE GRSL 2020 / Paper

Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China

Shengjie Liu, Qian Shi

ISPRS Journal of Photogrammetry and Remote Sensing 2020 / Paper / Preprint / Project Page

Multitask deep learning with spectral knowledge for hyperspectral image classification

Shengjie Liu, Qian Shi

IEEE GRSL 2020 / Paper / Preprint

2019 and before

Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data

Shengjie Liu, Zhixin Qi, Xia Li, Anthony Gar-On Yeh

Remote Sensing 2019 / Paper

Wide contextual residual network with active learning for remote sensing image classification

Shengjie Liu, Haowen Luo, Ying Tu, Zhi He, Jun Li

IGARSS 2018 / Paper / Preprint