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Jie Wang (王杰)
Jie Wang (王杰)
Peng Cheng Laboratory
Verified email at pcl.ac.cn
Title
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Cited by
Year
Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data
P Gong, J Wang, L Yu, Y Zhao, Y Zhao, L Liang, Z Niu, X Huang, H Fu, ...
International Journal of Remote Sensing 34 (7), 2607-2654, 2013
13202013
Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
P Gong, H Liu, M Zhang, C Li, J Wang, H Huang, N Clinton, L Ji, W Li, ...
Sci. Bull 64, 370-373, 2019
5672019
Comparison of classification algorithms and training sample sizes in urban land classification with Landsat thematic mapper imagery
C Li, J Wang, L Wang, L Hu, P Gong
Remote sensing 6 (2), 964-983, 2014
3712014
Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
P Gong, X Li, J Wang, Y Bai, B Chen, T Hu, X Liu, B Xu, J Yang, W Zhang, ...
Remote Sensing of Environment 236, 111510, 2020
3682020
Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine
H Huang, Y Chen, N Clinton, J Wang, X Wang, C Liu, P Gong, J Yang, ...
Remote Sensing of Environment 202, 166-176, 2017
3102017
Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: a segmentation-based approach
L Yu, J Wang, P Gong
International Journal of Remote Sensing 34 (16), 5851-5867, 2013
1752013
Towards a common validation sample set for global land-cover mapping
Y Zhao, P Gong, L Yu, L Hu, X Li, C Li, H Zhang, Y Zheng, J Wang, ...
International Journal of Remote Sensing 35 (13), 4795-4814, 2014
1582014
Meta-discoveries from a synthesis of satellite-based land-cover mapping research
L Yu, L Liang, J Wang, Y Zhao, Q Cheng, L Hu, S Liu, L Yu, X Wang, ...
International Journal of Remote Sensing 35 (13), 4573-4588, 2014
1522014
Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018
P Gong, B Chen, X Li, H Liu, J Wang, Y Bai, J Chen, X Chen, L Fang, ...
Science Bulletin 65 (3), 182-187, 2020
1452020
FROM-GC: 30 m global cropland extent derived through multisource data integration
L Yu, J Wang, N Clinton, Q Xin, L Zhong, Y Chen, P Gong
International Journal of Digital Earth 6 (6), 521-533, 2013
1402013
A multi-resolution global land cover dataset through multisource data aggregation
L Yu, J Wang, XC Li, CC Li, YY Zhao, P Gong
Science China Earth Sciences 57 (10), 2317-2329, 2014
1222014
Mapping global urban boundaries from the global artificial impervious area (GAIA) data
X Li, P Gong, Y Zhou, J Wang, Y Bai, B Chen, T Hu, Y Xiao, B Xu, J Yang, ...
Environmental Research Letters 15 (9), 094044, 2020
1202020
Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution
J Wang, Y Zhao, C Li, L Yu, D Liu, P Gong
ISPRS Journal of Photogrammetry and Remote Sensing 103, 38-47, 2015
1122015
Annual dynamics of global land cover and its long-term changes from 1982 to 2015
H Liu, P Gong, J Wang, N Clinton, Y Bai, S Liang
Earth System Science Data 12 (2), 1217-1243, 2020
1092020
The first all-season sample set for mapping global land cover with Landsat-8 data
C Li, P Gong, J Wang, Z Zhu, GS Biging, C Yuan, T Hu, H Zhang, Q Wang, ...
Science Bulletin 62 (7), 508-515, 2017
862017
A new research paradigm for global land cover mapping
P Gong, L Yu, C Li, J Wang, L Liang, X Li, L Ji, Y Bai, Y Cheng, Z Zhu
Annals of GIS 22 (2), 87-102, 2016
812016
Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping
W Li, R Dong, H Fu, J Wang, L Yu, P Gong
Remote Sensing of Environment 237, 111563, 2020
742020
The 2020 China report of the Lancet Countdown on health and climate change
W Cai, C Zhang, HP Suen, S Ai, Y Bai, J Bao, B Chen, L Cheng, X Cui, ...
The Lancet Public Health 6 (1), e64-e81, 2021
632021
Construction of the 500‐m resolution daily global surface water change database (2001–2016)
L Ji, P Gong, J Wang, J Shi, Z Zhu
Water Resources Research 54 (12), 10,270-10,292, 2018
572018
Long-term annual mapping of four cities on different continents by applying a deep information learning method to landsat data
H Lyu, H Lu, L Mou, W Li, J Wright, X Li, X Li, XX Zhu, J Wang, L Yu, ...
Remote Sensing 10 (3), 471, 2018
522018
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