| Water bodies’ mapping from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band Y Du, Y Zhang, F Ling, Q Wang, W Li, X Li Remote Sensing 8 (4), 354, 2016 | 751 | 2016 |
| Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps X Li, F Ling, GM Foody, Y Ge, Y Zhang, Y Du Remote Sensing of Environment 196, 293-311, 2017 | 119 | 2017 |
| Land cover change mapping at the subpixel scale with different spatial-resolution remotely sensed imagery F Ling, W Li, Y Du, X Li IEEE Geoscience and Remote Sensing Letters 8 (1), 182-186, 2010 | 119 | 2010 |
| SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion X Li, GM Foody, DS Boyd, Y Ge, Y Zhang, Y Du, F Ling Remote Sensing of Environment 237, 111537, 2020 | 100 | 2020 |
| Interpolation-based super-resolution land cover mapping F Ling, Y Du, X Li, W Li, F Xiao, Y Zhang Remote sensing letters 4 (7), 629-638, 2013 | 79 | 2013 |
| Sub-pixel mapping of remotely sensed imagery with hybrid intra-and inter-pixel dependence F Ling, X Li, Y Du, F Xiao International journal of remote sensing 34 (1), 341-357, 2013 | 73 | 2013 |
| Object-based sub-pixel mapping of buildings incorporating the prior shape information from remotely sensed imagery F Ling, X Li, F Xiao, S Fang, Y Du International Journal of Applied Earth Observation and Geoinformation 18 …, 2012 | 69 | 2012 |
| Urban land use mapping by combining remote sensing imagery and mobile phone positioning data Y Jia, Y Ge, F Ling, X Guo, J Wang, L Wang, Y Chen, X Li Remote Sensing 10 (3), 446, 2018 | 68 | 2018 |
| Example-based super-resolution land cover mapping using support vector regression Y Zhang, Y Du, F Ling, S Fang, X Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 64 | 2014 |
| Measuring river wetted width from remotely sensed imagery at the subpixel scale with a deep convolutional neural network F Ling, D Boyd, Y Ge, GM Foody, X Li, L Wang, Y Zhang, L Shi, C Shang, ... Water Resources Research 55 (7), 5631-5649, 2019 | 61 | 2019 |
| Subpixel land cover mapping by integrating spectral and spatial information of remotely sensed imagery F Ling, Y Du, F Xiao, X Li IEEE Geoscience and Remote Sensing Letters 9 (3), 408-412, 2011 | 61 | 2011 |
| Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016 Y Zhang, F Ling, GM Foody, Y Ge, DS Boyd, X Li, Y Du, PM Atkinson Remote Sensing of Environment 224, 74-91, 2019 | 60 | 2019 |
| Super-resolution mapping of forests with bitemporal different spatial resolution images based on the spatial-temporal Markov random field X Li, Y Du, F Ling IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 55 | 2013 |
| A spatial–temporal Hopfield neural network approach for super-resolution land cover mapping with multi-temporal different resolution remotely sensed images X Li, F Ling, Y Du, Q Feng, Y Zhang ISPRS journal of photogrammetry and remote sensing 93, 76-87, 2014 | 54 | 2014 |
| Monitoring thermal pollution in rivers downstream of dams with Landsat ETM+ thermal infrared images F Ling, GM Foody, H Du, X Ban, X Li, Y Zhang, Y Du Remote Sensing 9 (11), 1175, 2017 | 51 | 2017 |
| Spatially adaptive smoothing parameter selection for Markov random field based sub-pixel mapping of remotely sensed images X Li, Y Du, F Ling International journal of remote sensing 33 (24), 7886-7901, 2012 | 49 | 2012 |
| Earth observation and machine learning to meet sustainable development goal 8.7: Mapping sites associated with slavery from space GM Foody, F Ling, DS Boyd, X Li, J Wardlaw Remote Sensing 11 (3), 266, 2019 | 47 | 2019 |
| Superresolution land cover mapping using spatial regularization F Ling, X Li, F Xiao, Y Du IEEE Transactions on Geoscience and Remote Sensing 52 (7), 4424-4439, 2013 | 47 | 2013 |
| Using a sub-pixel mapping model to improve the accuracy of landscape pattern indices X Li, Y Du, F Ling, S Wu, Q Feng Ecological Indicators 11 (5), 1160-1170, 2011 | 47 | 2011 |
| Artificial Neural Network Models for Daily PM10 Air Pollution Index Prediction in the Urban Area of Wuhan, China S Wu, Q Feng, Y Du, X Li Environmental Engineering Science 28 (5), 357-363, 2011 | 46 | 2011 |
Feng Ling 凌峰Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of SciencesVerified email at whigg.ac.cn
