| Mapping paddy rice by the object-based random forest method using time series Sentinel-1/Sentinel-2 data Y Cai, H Lin, M Zhang Advances in Space Research 64 (11), 2233-2244, 2019 | 147 | 2019 |
| Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data Y Cai, X Li, M Zhang, H Lin International journal of applied earth observation and geoinformation 92, 102164, 2020 | 95 | 2020 |
| Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000‐2019 time-series Landsat data M Zhang, H Lin, X Long, Y Cai Science of the Total Environment 780, 146615, 2021 | 68 | 2021 |
| Monitoring the vegetation dynamics in the dongting lake wetland from 2000 to 2019 using the BEAST algorithm based on dense landsat time series Y Cai, S Liu, H Lin Applied Sciences 10 (12), 4209, 2020 | 42 | 2020 |
| Classification of paddy rice using a stacked generalization approach and the spectral mixture method based on MODIS time series M Zhang, H Zhang, X Li, Y Liu, Y Cai, H Lin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 30 | 2020 |
| Estimating the urban fractional vegetation cover using an object-based mixture analysis method and Sentinel-2 MSI imagery Y Cai, M Zhang, H Lin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 30 | 2020 |
| A novel approach towards continuous monitoring of forest change dynamics in fragmented landscapes using time series Landsat imagery Y Cai, Q Shi, X Xu, X Liu International Journal of Applied Earth Observation and Geoinformation 118 …, 2023 | 13 | 2023 |
| An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multi-source product fusion approach B Li, X Xu, X Liu, Q Shi, H Zhuang, Y Cai, D He Earth System Science Data Discussions 2022, 1-35, 2022 | 6 | 2022 |
| Mapping Forest disturbance using pure forest index time series and CCDC algorithm Y Cai, Q Shi, X Liu The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 4 | 2022 |
| 基于多源遥感数据的 CNN 水稻提取研究 蔡耀通， 刘书彤， 林辉， 张猛 国土资源遥感 32 (04), 97-104, 2020 | 3 | 2020 |
| Unveiling spatiotemporal tree cover patterns in China: The first 30 m annual tree cover mapping from 1985 to 2023 Y Cai, X Xu, P Zhu, S Nie, C Wang, Y Xiong, X Liu ISPRS Journal of Photogrammetry and Remote Sensing 216, 240-258, 2024 | 2 | 2024 |
| Urban Trees Expansion and Exposure Improvement in China: Insights from Satellite Observations (1985–2023) T Liu, X Liu, Y Cai IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 2 | 2024 |
| Spatiotemporal Mapping of Surface Water Using Landsat Images and Spectral Mixture Analysis on Google Earth Engine Y Cai, Q Shi, X Liu Journal of Remote Sensing 4, 0117, 2024 | 2 | 2024 |
| An adaptive stacking regressor with a self-iterative optimization module for improving fractional woody cover mapping Y Cai, Y Zhang, L Ma, K Luo, X Liu, B Li, H Zhuang IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 2 | 2023 |
| 基于 TanDEM-X 数据的林分平均高反演方法研究 蔡耀通， 林辉， 孙华， 张猛， 龙江平 西南林业大学学报 39 (5), 110-117, 2019 | 2 | 2019 |
| Forest fragmentation trends and modes in China: Implications for conservation and restoration Y Cai, P Zhu, X Liu, Y Zhou International Journal of Applied Earth Observation and Geoinformation 133 …, 2024 | | 2024 |
| Mapping China's Annual Tree Cover: A Holistic and Efficient Framework Integrating Satellite Imagery and Advanced Modeling Y Cai, X Liu IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
| Accelerate spatiotemporal fusion for large-scale applications Y Li, L Meng, H Sun, Q Shi, J Li, Y Cai International Journal of Applied Earth Observation and Geoinformation 129 …, 2024 | | 2024 |
| 联合 Sentinel-1 和 Sentinel-2 数据反演森林蓄积量 张雨田， 许晓东， 石军南， 刘洋， 蔡耀通， 林辉， 石灵杰， 张怀清 四川林业科技 43 (2), 71-80, 2022 | | 2022 |
| 洞庭湖湿地植被时空变化研究 蔡耀通 中南林业科技大学, 2021 | | 2021 |
Xiaoping LiuProfessor of Geographic Information Science, Sun Yat-sen University在 mail.sysu.edu.cn 的电子邮件经过验证
