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Chong Liu

Observed names: Chong LIU, Chong Liu Chong Liu, Liu, Chong
Observed institutions: Boston University, Northeastern University, Sun Yat-sen University, Chinese Academy of Sciences, Ministry of Ecology and Environment, Cornell University, Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, South China Institute Of Environmental Sciences, Shanghai Institute of Optics and Fine Mechanics, Peng Cheng Laboratory, Aerospace Information Research Institute, State Key Laboratory of Remote Sensing Science, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), International Research Center of Big Data for Sustainable Development Goals, Jiangxi Normal University, Miami University, Nanjing University
ORCID: 0000-0003-4662-1622
Observed ORCID: 0000-0003-4662-1622
OpenAlex ID: A5100412256
GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery
2021 · Miao Zhang, Bingfang Wu, et al. · Earth system science data · 122
Urban Change Detection Based on Dempster–Shafer Theory for Multitemporal Very High-Resolution Imagery
2018 · Hui Luo, Chong Liu, et al. · Remote Sensing · 119
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Estimating building height in China from ALOS AW3D30
2022 · Huabing Huang, Peimin Chen, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 108
An efficient approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense Landsat time series stacks
2019 · Chong Liu, Qi Zhang, et al. · Remote Sensing of Environment · 105
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication
2020 · Chong Liu, Qi Zhang, et al. · Remote Sensing of Environment · 97
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The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta
2014 · Zhenfeng Shao, Chong Liu · Remote Sensing · 96
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Phenology-Based Rice Paddy Mapping Using Multi-Source Satellite Imagery and a Fusion Algorithm Applied to the Poyang Lake Plain, Southern China
2020 · Mingjun Ding, Qihui Guan, et al. · Remote Sensing · 65
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Mapping bamboo with regional phenological characteristics derived from dense Landsat time series using Google Earth Engine
2019 · Meinan Zhang, Peng Gong, et al. · International Journal of Remote Sensing · 55
Automatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth Engine
2020 · Meinan Zhang, Huabing Huang, et al. · Remote Sensing · 53
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A Scheme for the Long-Term Monitoring of Impervious−Relevant Land Disturbances Using High Frequency Landsat Archives and the Google Earth Engine
2019 · Hanzeyu Xu, Yuchun Wei, et al. · Remote Sensing · 45
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Monitoring three-decade dynamics of citrus planting in Southeastern China using dense Landsat records
2021 · Hanzeyu Xu, Shuhua Qi, et al. · International Journal of Applied Earth Observation and Geoinformation · 40
MUSTFN: A spatiotemporal fusion method for multi-scale and multi-sensor remote sensing images based on a convolutional neural network
2022 · Peng Qin, Huabing Huang, et al. · International Journal of Applied Earth Observation and Geoinformation · 28
Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China
2018 · Hanzeyu Xu, Shuhua Qi, et al. · International Journal of Remote Sensing · 26
Improving large-scale moso bamboo mapping based on dense Landsat time series and auxiliary data: a case study in Fujian Province, China
2017 · Chong Liu, Tianwei Xiong, et al. · Remote Sensing Letters · 26
Characterizing dynamics of built-up height in China from 2005 to 2020 based on GEDI, Landsat, and PALSAR data
2025 · Peimin Chen, Huabing Huang, et al. · Remote Sensing of Environment · 23
Relieved Air Pollution Enhanced Urban Heat Island Intensity in the Yangtze River Delta, China
2019 · Hao Wu, Tijian Wang, et al. · Aerosol and Air Quality Research · 20
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CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic
2023 · Chong Liu, Chong Liu, et al. · Earth system science data · 19
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Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM
2022 · Xiaoqing Xu, Chong Liu, et al. · Big Earth Data · 18
Comparative evaluation of vegetation greenness trends over circumpolar Arctic tundra using multi-sensors satellite datasets
2024 · Caixia Liu, Huabing Huang, et al. · International Journal of Digital Earth · 15
Functional factor analysis for periodic remote sensing data
2012 · Chong Liu, Surajit Ray, et al. · 15
Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product
2023 · Yan Sun, Yufang Ye, et al. · IEEE Transactions on Geoscience and Remote Sensing · 11
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Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data
2021 · Chong Liu, Huabing Huang, et al. · Remote Sensing · 11
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Applying spectral mixture analysis for large-scale sub-pixel impervious cover estimation based on neighbourhood-specific endmember signature generation
2014 · Zhang Zhang, Chong Liu, et al. · Remote Sensing Letters · 10
Optimization of quadrature frequency conversion with type-II KDP for second harmonic generation of the nanosecond chirp pulse at 1053 nm
2014 · Lailin Ji Lailin Ji, Baoqiang Zhu Baoqiang Zhu, et al. · Chinese Optics Letters · 10
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The first 10 m resolution thermokarst lake and pond dataset for the Lena Basin in the 2020 thawing season
2023 · Yining Yu, Fengming Hui, et al. · Big Earth Data · 9
Works count: 46
Citation count: 1,216
H-index: 18
I10-index: 25
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