| Missing information reconstruction of remote sensing data: A technical review H Shen, X Li, Q Cheng, C Zeng, G Yang, H Li, L Zhang IEEE Geoscience and Remote Sensing Magazine 3 (3), 61-85, 2015 | 290 | 2015 |
| Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the … H Shen, L Huang, L Zhang, P Wu, C Zeng Remote Sensing of Environment 172, 109-125, 2016 | 239 | 2016 |
| Missing data reconstruction in remote sensing image with a unified spatial–temporal–spectral deep convolutional neural network Q Zhang, Q Yuan, C Zeng, X Li, Y Wei IEEE Transactions on Geoscience and Remote Sensing 56 (8), 4274-4288, 2018 | 238 | 2018 |
| Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method C Zeng, H Shen, L Zhang Remote Sensing of Environment 131, 182-194, 2013 | 237 | 2013 |
| Point-surface fusion of station measurements and satellite observations for mapping PM2. 5 distribution in China: Methods and assessment T Li, H Shen, C Zeng, Q Yuan, L Zhang Atmospheric Environment 152, 477-489, 2017 | 150 | 2017 |
| Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model Q Cheng, H Shen, L Zhang, Q Yuan, C Zeng ISPRS journal of photogrammetry and remote sensing 92, 54-68, 2014 | 136 | 2014 |
| Improved modeling of snow and glacier melting by a progressive two‐stage calibration strategy with GRACE and multisource data: How snow and glacier meltwater contributes to the … X Chen, D Long, Y Hong, C Zeng, D Yan Water Resources Research 53 (3), 2431-2466, 2017 | 129 | 2017 |
| Compressed sensing-based inpainting of aqua moderate resolution imaging spectroradiometer band 6 using adaptive spectrum-weighted sparse Bayesian dictionary learning H Shen, X Li, L Zhang, D Tao, C Zeng IEEE Transactions on Geoscience and Remote Sensing 52 (2), 894-906, 2013 | 86 | 2013 |
| Discharge estimation in high-mountain regions with improved methods using multisource remote sensing: A case study of the Upper Brahmaputra River Q Huang, D Long, M Du, C Zeng, G Qiao, X Li, A Hou, Y Hong Remote Sensing of Environment 219, 115-134, 2018 | 74 | 2018 |
| Assessing the potential of satellite-based precipitation estimates for flood frequency analysis in ungauged or poorly gauged tributaries of China’s Yangtze River basin Z Gao, D Long, G Tang, C Zeng, J Huang, Y Hong Journal of hydrology 550, 478-496, 2017 | 68 | 2017 |
| Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau Y Cui, D Long, Y Hong, C Zeng, J Zhou, Z Han, R Liu, W Wan Journal of Hydrology 543, 242-254, 2016 | 68 | 2016 |
| Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach D Long, L Yan, L Bai, C Zhang, X Li, H Lei, H Yang, F Tian, C Zeng, ... Remote Sensing of Environment 246, 111863, 2020 | 65 | 2020 |
| Reconstructing MODIS LST based on multitemporal classification and robust regression C Zeng, H Shen, M Zhong, L Zhang, P Wu IEEE Geoscience and Remote Sensing Letters 12 (3), 512-516, 2014 | 65 | 2014 |
| A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud C Zeng, D Long, H Shen, P Wu, Y Cui, Y Hong ISPRS Journal of Photogrammetry and Remote Sensing 141, 30-45, 2018 | 62 | 2018 |
| Recovering reflectance of AQUA MODIS band 6 based on within-class local fitting H Shen, C Zeng, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2010 | 56 | 2010 |
| An improved approach to monitoring Brahmaputra River water levels using retracked altimetry data Q Huang, D Long, M Du, C Zeng, X Li, A Hou, Y Hong Remote Sensing of Environment 211, 112-128, 2018 | 53 | 2018 |
| Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data H Shen, Y Jiang, T Li, Q Cheng, C Zeng, L Zhang Remote Sensing of Environment 240, 111692, 2020 | 47 | 2020 |
| An urban water extraction method combining deep learning and Google Earth engine Y Wang, Z Li, C Zeng, GS Xia, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 46 | 2020 |
| Developing a composite daily snow cover extent record over the Tibetan Plateau from 1981 to 2016 using multisource data X Chen, D Long, S Liang, L He, C Zeng, X Hao, Y Hong Remote Sensing of Environment 215, 284-299, 2018 | 40 | 2018 |
| Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications Z Zeng, G Tang, Y Hong, C Zeng, Y Yang Remote Sensing Letters 8 (6), 528-536, 2017 | 36 | 2017 |
Huanfeng ShenProfessor, School of Resource and Environmental Science, Wuhan UniversityBestätigte E-Mail-Adresse bei whu.edu.cn
