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Feng Ling 凌峰
Feng Ling 凌峰
Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences
Dirección de correo verificada de whigg.ac.cn
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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
7352016
A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI
W Li, Z Du, F Ling, D Zhou, H Wang, Y Gui, B Sun, X Zhang
Remote Sensing 5 (11), 5530-5549, 2013
4592013
Analysis of Landsat-8 OLI imagery for land surface water mapping
Z Du, W Li, D Zhou, L Tian, F Ling, H Wang, Y Gui, B Sun
Remote sensing letters 5 (7), 672-681, 2014
2292014
Lake area changes in the middle Yangtze region of China over the 20th century
Y Du, H Xue, S Wu, F Ling, F Xiao, X Wei
Journal of Environmental Management 92 (4), 1248-1255, 2011
1882011
Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China
Z Du, L Bin, F Ling, W Li, W Tian, H Wang, Y Gui, B Sun, X Zhang
Journal of Applied Remote Sensing 6 (1), 063609, 2012
1792012
Super-resolution land-cover mapping using multiple sub-pixel shifted remotely sensed images
F Ling, Y Du, F Xiao, H Xue, S Wu
International Journal of Remote Sensing 31 (19), 5023-5040, 2010
1302010
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
1192010
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
1172017
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
952020
Spatio-temporal change detection of Ningbo coastline using Landsat time-series images during 1976–2015
X Wang, Y Liu, F Ling, Y Liu, F Fang
ISPRS International Journal of Geo-Information 6 (3), 68, 2017
852017
Waterline mapping at the subpixel scale from remote sensing imagery with high‐resolution digital elevation models
F Ling, F Xiao, Y Du, HP Xue, XY Ren
International Journal of Remote Sensing 29 (6), 1809-1815, 2008
842008
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
792013
Spatiotemporal fusion of land surface temperature based on a convolutional neural network
Z Yin, P Wu, GM Foody, Y Wu, Z Liu, Y Du, F Ling
IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1808-1822, 2020
732020
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
732013
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
692012
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
672018
Analysis of coastline extraction from landsat-8 OLI imagery
Y Liu, X Wang, F Ling, S Xu, C Wang
Water 9 (11), 816, 2017
652017
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
632014
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
612011
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
592019
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