| Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series … J Zhou, J Chen, X Chen, X Zhu, Y Qiu, H Song, Y Rao, C Zhang, X Cao, ... Remote Sensing of Environment 252, 112130, 2021 | 101 | 2021 |
| Mapping winter wheat in North China using Sentinel 2A/B data: A method based on phenology-time weighted dynamic time warping Q Dong, X Chen, J Chen, C Zhang, L Liu, X Cao, Y Zang, X Zhu, X Cui Remote Sensing 12 (8), 1274, 2020 | 70 | 2020 |
| Assessing the impact of endmember variability on linear Spectral Mixture Analysis (LSMA): A theoretical and simulation analysis C Zhang, L Ma, J Chen, Y Rao, Y Zhou, X Chen Remote sensing of environment 235, 111471, 2019 | 37 | 2019 |
| Replacing the Red Band with the Red-SWIR Band (0.74ρred+0.26ρswir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background X Chen, Z Guo, J Chen, W Yang, Y Yao, C Zhang, X Cui, X Cao Remote Sensing 11 (7), 851, 2019 | 35 | 2019 |
| A discussion on some frontier directions of quantitative remote sensing Q Qin, J Chen, YG Zhang, HZ Ren, ZH Wu, CS Zhang, LS Wu, JL Liu Remote Sensing for Land and Resources 32 (4), 8-15, 2020 | 6 | 2020 |
| A Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis C Zhang, C Diao ISPRS Journal of Photogrammetry and Remote Sensing 205, 50-73, 2023 | 4 | 2023 |
| Bias of area counted from sub-pixel map: Origin and correction Q Dong, X Chen, J Chen, D Yin, C Zhang, F Xu, Y Rao, M Shen, Y Chen, ... Science of Remote Sensing 6, 100069, 2022 | 1 | 2022 |
| CropSight: Towards a large-scale operational framework for object-based crop type ground truth retrieval using street view and PlanetScope satellite imagery Y Liu, C Diao, W Mei, C Zhang ISPRS Journal of Photogrammetry and Remote Sensing 216, 66-89, 2024 | | 2024 |
| CropSight: an operational framework for crop type information retrieval using street view and PlanetScope satellite images Y LIU, C Diao, W Mei, C Zhang AGU Fall Meeting Abstracts 2023, IN34B-01, 2023 | | 2023 |
| Towards Scalable Field-level Crop Yield Estimation through Integration of Crop Model and Deep Learning T Guo, C Diao, C Zhang, Y Liu, Z Yang AGU Fall Meeting Abstracts 2023, GC06-1, 2023 | | 2023 |
| Towards large-scale crop phenological characterization using multi-scale satellite time series C Diao, Z Yang, Y LIU, C Zhang, T Guo AGU Fall Meeting Abstracts 2023, B13D-05, 2023 | | 2023 |
| GeoAI for Agriculture C Zhang, C Diao, T Guo Handbook of Geospatial Artificial Intelligence, 330-350, 2023 | | 2023 |
| A Novel Phenology-Guided Bayesian-CNN Framework for Crop Yield Estimation C Zhang, C Diao AGU Fall Meeting Abstracts 2022, GC15G-0531, 2022 | | 2022 |
| Quadratic-Plateau Geographically Weighted Regression Model for Estimating Site-Specific Economically Optimal Input Rates C Zhang, X Li, T Mieno, C Diao, DS Bullock Available at SSRN 4844670, 0 | | |
