Quantitative, Near Real-Time Mapping of Bushfires Through Integration of Optical and SAR Remote Sensing Techniques. - Linlin Ge; Yufei Wang; Qi Zhang 004; Zheyuan Du; Chang Liu 084; Yifei Dong; Tony Sleigh; Tao Guo; Xia Lei; Zhewen Ma (IGARSS, 2021)

Post-Disaster Classification of Building Damage Using Transfer Learning. - Chang Liu 084; Linlin Ge; Samad M. E. Sepasgozar (IGARSS, 2021)

Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection. - Qi Zhang 004; Linlin Ge; Ruiheng Zhang 001; Graciela I. Metternicht; Chang Liu 084; Zheyuan Du (Remote. Sens., 2021)

A novel attention-based deep learning method for post-disaster building damage classification. - Chang Liu 084; Samad M. E. Sepasgozar; Qi Zhang 004; Linlin Ge (Expert Syst. Appl., 2022)

Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data. - Qi Zhang 004; Scott Hensley; Ruiheng Zhang 001; Chang Liu 084; Linlin Ge (Remote. Sens., 2022)

An Improved Luminance Contrast Saliency Map for Burned Area Mapping Based in INSAR Coherence Difference Image. - Ting Bai; Linlin Ge; Samad M. E. Sepasgozar; Ziheng Sheng; Chang Liu 084; Yunhao Wu; Qi Zhang 004 (IGARSS, 2023)

Using Multi-Temporal Optical Remote Sensing Images For Monitoring Post-Failure Evolution Of The Aniangzhai Landslide In Danba County, China. - Jianming Kuang; Linlin Ge; Qi Zhang 004; Chang Liu 084 (IGARSS, 2023)

The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation. - Chang Liu 084; Qi Zhang 004; Sara Shirowzhan; Ting Bai; Ziheng Sheng; Yunhao Wu; Jianming Kuang; Linlin Ge (IGARSS, 2023)

Flood Assessment and Mapping Based on SAR and QUAV Vertical Remote Sensing Framework: A Case Study of 2022 Australia Moama Floods. - Ziheng Sheng; Linlin Ge; Chen Li; Ting Bai; Chang Liu 084; Yunhao Wu; Qi Zhang 004 (IGARSS, 2023)

Dielectric Fluctuation and Random Motion over Ground Model (DF-RMoG): An Unsupervised Three-Stage Method of Forest Height Estimation Considering Dielectric Property Changes. - Chang Liu 084; Qi Zhang 004; Linlin Ge; Samad M. E. Sepasgozar; Ziheng Sheng (Remote. Sens., 2023)

Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation. - Chang Liu 084; Linlin Ge; Wei Xiang 001; Zheyuan Du; Qi Zhang 004 (IEEE Trans. Geosci. Remote. Sens., 2024)