1、著作：
[1] 《长时间序列南海油气开发活动遥感监测》，科学出版社，2019-12
[2] 《江苏中部沿海资源环境遥感监测与分析》，科学出版社，2020-12
2、期刊论文：
[1] Chao S ,Jialin L ,Yongchao L , et al. Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)[J]. GIScience & Remote Sensing,2022,59(1).
[2] Zhenjie Y ,Chao S ,Junwei Y , et al. Spatio-Temporal Heterogeneity of Ecological Quality in Hangzhou Greater Bay Area (HGBA) of China and Response to Land Use and Cover Change[J]. Remote Sensing,2022,14(21).
[3] Using Time-Series HSI Mapping to Determine Ecological Processes and Driving Forces of Red-Crowned Crane (Grus japonensis) Habitat in the Yancheng Biosphere Reserve (China)[J]. Journal of Coastal Research,2019,35(2).
[4] Chao S ,Jialin L ,Yongxue L , et al. Plant species classification in salt marshes using phenological parameters derived from Sentinel-2 pixel-differential time-series[J]. Remote Sensing of Environment,2021,256.
[5] Sun C ,Fagherazzi S ,Liu Y . Classification mapping of salt marsh vegetation by flexible monthly NDVI time-series using Landsat imagery[J]. Estuarine, Coastal and Shelf Science,2018,213.
[6] Sun C ,Liu Y ,Zhao S , et al. Estimating offshore oil production using DMSP-OLS annual composites[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2020,165.
[7] Sun C ,Liu Y ,Zhao S , et al. Classification mapping and species identification of salt marshes based on a short-time interval NDVI time-series from HJ-1 optical imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2016,45.
[8] Chao S ,Jialin L ,Yongchao L , et al. Tracking annual changes in the distribution and composition of saltmarsh vegetation on the Jiangsu coast of China using Landsat time series–based phenological parameters[J]. Remote Sensing of Environment,2023,284.
[9] 郑嘉豪,孙超,林昀等.基于Landsat像元级时间序列的海岸带盐沼植被分类[J].遥感学报,2023,27(06):1400-1413.
3、教研论文：
[1] 孙超.“互联网+”时代下GIS专业创新创业模式研究[J].大学教育,2020(08):171-173.
