Papers and Preprints

A novel and practical approach to generate all-weather 30-meter land surface temperature data.
Shengjie Liu, Lu Zhang, Siqin Wang.
Accepted to IGARSS 2025.

Resolution revolution: A physics-guided deep learning framework for spatiotemporal temperature reconstruction.
Shengjie Liu, Lu Zhang, Siqin Wang.
Accepted to ICCV 2025 Workshop SEA.

Analyzing Nighttime Lights Using Multi-Temporal Imagery from Luojia-1 and the International Space Station with In Situ and Land Use Data.
Shengjie Liu, Chu Wing So, and Chun Shing Jason Pun.
Remote Sensing 2025.

Natural experiments from Earth Hour reveal urban night sky being drastically lit up by few decorative buildings.
Chu Wing So, Chun Shing Jason Pun, Shengjie Liu, Sze Leung Cheung, Ho Keung Kenneith Hui, Kelly Blumenthal, Constance Elaine Walker.
Scientific Reports 2025.

End-to-end reconstruction of high-resolution temperature data using physics-guided deep learning.
Shengjie Liu, Lu Zhang, Siqin Wang.
ICML 2025 Workshop TerraBytes.

Analyzing the sources and variations of nighttime lights in Hong Kong from VIIRS monthly data.
Shengjie Liu, Chu Wing So, and Chun Shing Jason Pun.
Remote Sensing 2025.

Effects of urban green space on human cognition: A systematic search and scoping review.
Shengjie Liu, Hung Chak Ho, and John P. Wilson.
Urban Climate 2025.

Deep feature Gaussian processes for single-scene aerosol optical depth reconstruction.
Shengjie Liu, Lu Zhang.
IEEE Geoscience and Remote Sensing Letters 2024.

Racial and ethnic minorities disproportionately exposed to extreme daily temperature variation in the United States.
Shengjie Liu, Emily Smith-Greenaway.
PNAS Nexus 2024.

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.

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.

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 Ho.
Social Science & Medicine 2024.

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 Ho.
Urban Climate 2023.

Using high-resolution nighttime remote sensing data to identify light sources in Hong Kong.
Shengjie Liu, Chu Wing So, Hung Chak Ho, Qian Shi, Chun Shing Jason Pun.
IGARSS 2023.

Using multisource data to capture the impacts of Earth Hour 2021: A case study of Hong Kong.
Shengjie Liu, Chu Wing So, Xiang Feng Foo, Chun Shing Jason Pun.
IGARSS 2023.

Multiple angle observations would benefit visible band remote sensing using night lights.
Christopher CM 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, and Jianglong Zhang.
Journal of Geophysical Research: Atmospheres 2022.

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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021.

Few-shot hyperspectral image classification with unknown classes using multitask deep learning.
Shengjie Liu, Qian Shi, Liangpei Zhang.
IEEE Transactions on Geoscience and Remote Sensing 2021.

Active ensemble deep learning for polarimetric synthetic aperture radar image classification.
Shengjie Liu, Haowen Luo, Qian Shi.
IEEE Geoscience and Remote Sensing Letters 2021.

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.

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, Chun Shing Jason Pun.
IGARSS 2021.

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.

Multitask deep learning with spectral knowledge for hyperspectral image classification.
Shengjie Liu, Qian Shi.
IEEE Geoscience and Remote Sensing Letters 2020.

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, and Anthony Gar-On Yeh.
Remote Sensing 2019.

Wide contextual residual network with active learning for remote sensing image classification.
Shengjie Liu, Haowen Luo, Ying Tu, Zhi He, Jun Li.
IGARSS 2018.