| Smallholder crop area mapped with a semantic segmentation deep learning method Z Du, J Yang, C Ou, T Zhang Remote Sensing 11 (7), 888, 2019 | 86 | 2019 |
| Long-term mapping of a greenhouse in a typical protected agricultural region using landsat imagery and the google earth engine C Ou, J Yang, Z Du, Y Liu, Q Feng, D Zhu Remote Sensing 12 (1), 55, 2019 | 44 | 2019 |
| Multi-temporal unmanned aerial vehicle remote sensing for vegetable mapping using an attention-based recurrent convolutional neural network Q Feng, J Yang, Y Liu, C Ou, D Zhu, B Niu, J Liu, B Li Remote Sensing 12 (10), 1668, 2020 | 40 | 2020 |
| A quantitative analysis of factors influencing organic matter concentration in the topsoil of black soil in northeast China based on spatial heterogeneous patterns Z Du, B Gao, C Ou, Z Du, J Yang, B Batsaikhan, B Dorjgotov, W Yun, ... ISPRS International Journal of Geo-Information 10 (5), 348, 2021 | 29 | 2021 |
| Mapping of plastic greenhouses and mulching films from very high resolution remote sensing imagery based on a dilated and non-local convolutional neural network Q Feng, B Niu, B Chen, Y Ren, D Zhu, J Yang, J Liu, C Ou, B Li International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 28 | 2021 |
| Agricultural land abandonment and retirement mapping in the Northern China crop-pasture band using temporal consistency check and trajectory-based change detection approach Z Du, J Yang, C Ou, T Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021 | 25 | 2021 |
| HSI-TransUNet: A transformer based semantic segmentation model for crop mapping from UAV hyperspectral imagery B Niu, Q Feng, B Chen, C Ou, Y Liu, J Yang Computers and Electronics in Agriculture 201, 107297, 2022 | 24 | 2022 |
| Land cover mapping and ecological risk assessment in the context of recent ecological migration T Zhang, Z Du, J Yang, X Yao, C Ou, B Niu, S Yan Remote Sensing 13 (7), 1381, 2021 | 19 | 2021 |
| Spatial-temporal dynamic changes of agricultural greenhouses in Shandong Province in recent 30 years based on Google Earth Engine D Zhu, Y Liu, Q Feng, C Ou, H Guo, J Liu Transactions of the Chinese Society for Agricultural Machinery 51 (1), 168-175, 2020 | 18 | 2020 |
| Integrating cellular automata with unsupervised deep-learning algorithms: A case study of urban-sprawl simulation in the Jingjintang urban agglomeration, China C Ou, J Yang, Z Du, X Zhang, D Zhu Sustainability 11 (9), 2464, 2019 | 13 | 2019 |
| Training SegNet for cropland classification of high resolution remote sensing images Z Du, J Yang, W Huang, C Ou AGILE Conference, 2018 | 13 | 2018 |
| Regularity of rural settlement changes driven by rapid urbanization in North China over the three decades Y Liu, C Ou, Y Li, L Zhang, J He Science Bulletin 68 (18), 2115-2124, 2023 | 10 | 2023 |
| Landsat-derived annual maps of agricultural greenhouse in Shandong Province, China from 1989 to 2018 C Ou, J Yang, Z Du, T Zhang, B Niu, Q Feng, Y Liu, D Zhu Remote Sensing 13 (23), 4830, 2021 | 10 | 2021 |
| Simulating Multiple Land Use Changes by Incorporating Deep Belief Network into Cellular Automata: A Case Study in BEIJING-TIANJINHEBEI Region, China C Ou, J Yang, Z Du, P Li, D Zhu China. China. Lund, 12-15, 2018 | 5 | 2018 |
| Tracking Spatio-Temporal Dynamics of Greenhouse-Led Cultivated Land and its Drivers in Shandong Province, China C Ou, Y Wang Frontiers in Environmental Science 10, 944422, 2022 | | 2022 |
