Liheng Zhong
Liheng Zhong
Descartes Labs
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Cited by
Cited by
Deep learning based multi-temporal crop classification
L Zhong, L Hu, H Zhou
Remote sensing of environment 221, 430-443, 2019
Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
L Zhong, P Gong, GS Biging
Remote Sensing of Environment 140, 1-13, 2014
Automated mapping of soybean and corn using phenology
L Zhong, L Hu, L Yu, P Gong, GS Biging
ISPRS Journal of Photogrammetry and Remote Sensing 119, 151-164, 2016
Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification
I Dronova, P Gong, L Wang, L Zhong
Remote Sensing of Environment 158, 193-206, 2015
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
A phenology-based approach to map crop types in the San Joaquin Valley, California
L Zhong, T Hawkins, G Biging, P Gong
International Journal of Remote Sensing 32 (22), 7777-7804, 2011
Deep learning based winter wheat mapping using statistical data as ground references in Kansas and northern Texas, US
L Zhong, L Hu, H Zhou, X Tao
Remote Sensing of Environment 233, 111411, 2019
Rapid corn and soybean mapping in US Corn Belt and neighboring areas
L Zhong, L Yu, X Li, L Hu, P Gong
Scientific reports 6 (1), 36240, 2016
Phenology-based crop classification algorithm and its implications on agricultural water use assessments in California’s Central Valley
L Zhong, P Gong, GS Biging
Photogrammetric Engineering & Remote Sensing 78 (8), 799-813, 2012
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning
F Zhao, R Sun, L Zhong, R Meng, C Huang, X Zeng, M Wang, Y Li, ...
Remote Sensing of Environment 269, 112822, 2022
Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data
X Liu, L Yu, W Li, D Peng, L Zhong, L Li, Q Xin, H Lu, C Yu, P Gong
International Journal of Remote Sensing 39 (20), 6631-6645, 2018
DKDFN: Domain knowledge-guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification
Y Li, Y Zhou, Y Zhang, L Zhong, J Wang, J Chen
ISPRS Journal of Photogrammetry and Remote Sensing 186, 170-189, 2022
Early-and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach
C Lin, L Zhong, XP Song, J Dong, DB Lobell, Z Jin
Remote Sensing of Environment 274, 112994, 2022
Mapping corn dynamics using limited but representative samples with adaptive strategies
Y Wen, X Li, H Mu, L Zhong, H Chen, Y Zeng, S Miao, W Su, P Gong, B Li, ...
ISPRS Journal of Photogrammetry and Remote Sensing 190, 252-266, 2022
Spatial-temporal patterns of features selected using random forests: A case study of corn and soybeans mapping in the US
X Liu, L Yu, L Zhong, P Hao, B Wu, H Wang, C Yu, P Gong
International journal of remote sensing 40 (1), 269-283, 2019
Wheat yield estimation using remote sensing data based on machine learning approaches
E Cheng, B Zhang, D Peng, L Zhong, L Yu, Y Liu, C Xiao, C Li, X Li, ...
Frontiers in Plant Science 13, 1090970, 2022
Efficient crop type mapping based on remote sensing in the Central Valley, California
L Zhong
University of California, Berkeley, 2012
Cret: Cross-modal retrieval transformer for efficient text-video retrieval
K Ji, J Liu, W Hong, L Zhong, J Wang, J Chen, W Chu
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
Emulation of a process-based salinity generator for the sacramento–san joaquin delta of california via deep learning
M He, L Zhong, P Sandhu, Y Zhou
Water 12 (8), 2088, 2020
Satellite imagery can support water planning in the Central Valley
L Zhong, T Hawkins, K Holland, P Gong, GS Biging
California Agriculture 63 (4), 2009
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Articles 1–20