| A summary of the special issue on remote sensing of land change science with Google earth engine L Wang, C Diao, G Xian, D Yin, Y Lu, S Zou, TA Erickson Remote Sensing of Environment 248, 112002, 2020 | 128 | 2020 |
| Detecting individual abandoned houses from google street view: A hierarchical deep learning approach S Zou, L Wang ISPRS Journal of Photogrammetry and Remote Sensing 175, 298-310, 2021 | 41 | 2021 |
| Modeling the census tract level housing vacancy rate with the Jilin1-03 satellite and other geospatial data M Du, L Wang, S Zou, C Shi Remote Sensing 10 (12), 1920, 2018 | 38 | 2018 |
| Individual vacant house detection in very-high-resolution remote sensing images S Zou, L Wang Smart Spaces and Places, 117-129, 2021 | 27 | 2021 |
| Developing sidewalk inventory data using street view images B Kang, S Lee, S Zou Sensors 21 (9), 3300, 2021 | 22 | 2021 |
| Mapping individual abandoned houses across cities by integrating VHR remote sensing and street view imagery S Zou, L Wang International Journal of Applied Earth Observation and Geoinformation 113 …, 2022 | 10 | 2022 |
| Content-based search of earth observation data archives using open-access multitemporal land cover and terrain products F Peng, L Wang, S Zou, J Luo, S Gong, X Li International Journal of Applied Earth Observation and Geoinformation 81, 13-26, 2019 | 9 | 2019 |
| How to account for endmember variability in spectral mixture analysis of night-time light imagery? G Feng, K Wang, D Yin, S Zou, L Wang International Journal of Remote Sensing 41 (8), 3147-3161, 2020 | 4 | 2020 |
| MDFA-Net: Multi-Scale Differential Feature Self-Attention Network for Building Change Detection in Remote Sensing Images. Y Li, S Zou, T Zhao, X Su Remote Sensing 16 (18), 2024 | | 2024 |
| Unravelling the Spatial Distribution of Individual-Level Abandoned Houses at Large Scale Using Open-Access Remotely Sensed Data S Zou State University of New York at Buffalo, 2022 | | 2022 |
le wangProfessor of Geography, University at BuffaloEmail verificata su buffalo.edu