Shengjie Kris Liu
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Shengjie Kris Liu
Spatial Sciences Institute
Dornsife College of Letters, Arts and Sciences
University of Southern California
Email: liusheng [at] usc.edu
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USC Profiles
Research Topics
AI for Earth Observation
Hyperspectral Imaging
Urban Climate
Artificial Light at Night
Call For Papers
Navigating the Night: Insights into Technology, Ecology, and Public Perception of Artificial Light
(With Zhuosen Wang, Xi Li, and Alejandro Sánchez de Miguel; Frontiers in Environmental Science). Send an email if you are interested in publishing your research in this special issue.
IGARSS 2025 Nighttime Remote Sensing for Sustainable Development Goals
(with Zhuosen Wang), submit abstract by 10 Jan 2025.
Publications (
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Research Topics:
AI for Earth Observation
/
Urban Climate
/
Artificial Light at Night
(* indicate equal contribution)
2024
Racial and Ethnic Minorities Disproportionately Exposed to Extreme Daily Temperature Variation in the United States
Shengjie Liu
,
Emily Smith-Greenaway
PNAS Nexus 2024
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Paper
Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction
Shengjie Liu
,
Lu Zhang
IEEE GRSL 2024
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Paper
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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
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Paper
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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
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Paper
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Preprint
Oral Presentation
2022
spotlight_cantonTower
Multiple angle observations would benefit visible band remote sensing using night lights
Christopher C.M. Kyba
,
Martin Aubé
,
Salvador Bará
,
Andrea Bertolo
,
Constantinos A Bouroussis
,
Stefano Cavazzani
,
Brian R Espey
,
Fabio Falchi
,
Geza Gyuk
,
Andreas Jechow
,
Miroslav Kocifaj
,
Zoltán Kolláth
,
Héctor Lamphar
,
Noam Levin
,
Shengjie Liu
,
Steven D Miller
,
Sergio Ortolani
,
Chun Shing Jason Pun
,
Salvador José Ribas
,
Thomas Ruhtz
,
Alejandro Sánchez de Miguel
,
Matthias Schneider
,
Ranjay Man Shrestha
,
Alexandre Simoneau
,
Chu Wing So
,
Tobias Storch
,
Kai Pong Tong
,
Diane Turnshek
,
Ken Walczak
,
Jun Wang
,
Zhuosen Wang
,
Jianglong Zhang
JGR Atmospheres 2022
/
Paper
Estimating PM2.5 and PM10 on Zhuhai-1 Hyperspectral Imagery
Shengjie Liu
,
Qian Shi
IGARSS 2022
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Paper
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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
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Paper
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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
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Paper
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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
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Paper
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Preprint
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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
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Paper
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Preprint
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Project Page
Multitask deep learning with spectral knowledge for hyperspectral image classification
Shengjie Liu
,
Qian Shi
IEEE GRSL 2020
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Paper
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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
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Paper
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Preprint