Articles with public access mandates - Congcong LiLearn more
Not available anywhere: 7
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, 2317-2329, 2014
Mandates: National Natural Science Foundation of China
Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30
Y Xu, L Yu, D Feng, D Peng, C Li, X Huang, H Lu, P Gong
International Journal of Remote Sensing 40 (16), 6185-6202, 2019
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Circa 2014 African land-cover maps compatible with FROM-GLC and GLC2000 classification schemes based on multi-seasonal Landsat data
D Feng, Y Zhao, L Yu, C Li, J Wang, N Clinton, Y Bai, A Belward, Z Zhu, ...
International Journal of Remote Sensing 37 (19), 4648-4664, 2016
Mandates: National Natural Science Foundation of China
A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa
D Feng, L Yu, Y Zhao, Y Cheng, Y Xu, C Li, P Gong
International Journal of Remote Sensing 39 (12), 3926-3938, 2018
Mandates: National Natural Science Foundation of China
An all-season sample database for improving land-cover mapping of Africa with two classification schemes
C Li, P Gong, J Wang, C Yuan, T Hu, Q Wang, L Yu, N Clinton, M Li, J Guo, ...
International Journal of Remote Sensing 37 (19), 4623-4647, 2016
Mandates: National Natural Science Foundation of China
Adaptively weighted decision fusion in 30 m land-cover mapping with Landsat and MODIS data
J Wang, C Li, P Gong
International Journal of Remote Sensing 36 (14), 3659-3674, 2015
Mandates: National Natural Science Foundation of China
Exploring intra-annual variation in cropland classification accuracy using monthly, seasonal, and yearly sample set
Y Xu, L Yu, Z Cai, J Zhao, D Peng, C Li, H Lu, C Yu, P Gong
International Journal of Remote Sensing 40 (23), 8748-8763, 2019
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Available somewhere: 8
Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping
W Li, H Fu, L Yu, P Gong, D Feng, C Li, N Clinton
International journal of remote sensing 37 (23), 5632-5646, 2016
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
The migration of training samples towards dynamic global land cover mapping
H Huang, J Wang, C Liu, L Liang, C Li, P Gong
ISPRS Journal of Photogrammetry and Remote Sensing 161, 27-36, 2020
Mandates: National Natural Science Foundation of China
Joint use of ICESAT/GLAS and Landsat data in land cover classification: A case study in Henan province, China
C Liu, H Huang, P Gong, X Wang, J Wang, W Li, C Li, Z Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
Mandates: Chinese Academy of Sciences
Seasonal land cover dynamics in Beijing derived from Landsat 8 data using a spatio-temporal contextual approach
J Wang, C Li, L Hu, Y Zhao, H Huang, P Gong
Remote Sensing 7 (1), 865-881, 2015
Mandates: National Natural Science Foundation of China
Using a global reference sample set and a cropland map for area estimation in China
L Yu, XC Li, CC Li, YY Zhao, ZG Niu, HB Huang, J Wang, YQ Cheng, H Lu, ...
Science China Earth Sciences 60, 277-285, 2017
Mandates: National Natural Science Foundation of China
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