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Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 242, 页码: 15
Authors:  Tian, Jinyan;  Wang, Le;  Yin, Dameng;  Li, Xiaojuan;  Diao, Chunyuan;  Gong, Huili;  Shi, Chen;  Menenti, Massimo;  Ge, Yong;  Nie, Sheng;  Ou, Yang;  Song, Xiaonan;  Liu, Xiaomeng
Favorite  |  View/Download:4/0  |  Submit date:2020/05/19
Cloudy coastal zone  Invasive species  Phenology  Google earth engine  Remote sensing big data  Deep learning  
Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 239, 页码: 13
Authors:  Liu, Luo;  Xiao, Xiangming;  Qin, Yuanwei;  Wang, Jie;  Xu, Xinliang;  Hu, Yueming;  Qiao, Zhi
Favorite  |  View/Download:1/0  |  Submit date:2020/05/19
Cropping intensity  GEE  Phenology  Sentinel-2  Vegetation indices  
Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 238, 页码: 15
Authors:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Chen, Bangqian;  Ma, Jun;  Dong, Jinwei;  Doughty, Russell B.;  Zhong, Qiaoyan;  Qin, Yuanwei;  Dai, Shengqi;  Li, Xiangping;  Zhao, Bin;  Li, Bo
Favorite  |  View/Download:2/0  |  Submit date:2020/05/19
Tidal flats  Time series Landsat images  Pixel and frequency-based algorithm  Google Earth Engine  China coastal zone  
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 161, 页码: 109-123
Authors:  You, Nanshan;  Dong, Jinwei
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Earliest identifiable timing (EIT)  Crops  Random forest  Classifier transfer  Temporal composite  Sentinel  Google Earth Engine  
Irrigation cooling effect on land surface temperature across China based on satellite observations 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 705, 页码: 10
Authors:  Yang, Qiquan;  Huang, Xin;  Tang, Qiuhong
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Irrigated area  Remote sensing  Observational evidence  Spatiotemporal variation  Google Earth Engine  
Large-Scale Crop Mapping From Multisource Remote Sensing Images in Google Earth Engine 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 414-427
Authors:  Liu, Xinkai;  Zhai, Han;  Shen, Yonglin;  Lou, Benke;  Jiang, Changmin;  Li, Tianqi;  Hussain, Sayed Bilal;  Shen, Guoling
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Large-scale crop mapping  harmonic analysis  multisource feature set construction  multisource remote sensing images  prior constraints  
Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi-Source Land Cover Products 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 1, 页码: 21
Authors:  Hu, Yang;  Hu, Yunfeng
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temporal segmentation  change detection  landsat  time series  forest disturbance  forest recovery  
A Method of Watershed Delineation for Flat Terrain Using Sentinel-2A Imagery and DEM: A Case Study of the Taihu Basin 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 12, 页码: 18
Authors:  Li, Leilei;  Yang, Jintao;  Wu, Jin
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watershed division  Sentinel-2A  Google Earth Engine (GEE)  Taihu Basin  hydrology  plains area  
Continuous monitoring of lake dynamics on the Mongolian Plateau using all available Landsat imagery and Google Earth Engine 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 689, 页码: 366-380
Authors:  Zhou, Yan;  Dong, Jinwei;  Xiao, Xiangming;  Liu, Ronggao;  Zou, Zhenhua;  Zhao, Guosong;  Ge, Quansheng
Favorite  |  View/Download:6/0  |  Submit date:2020/03/23
Lake dynamics  Mongolian Plateau (MP)  Google Earth Engine (GEE)  Landsat  Recovery Drivers  
Mapping sugarcane in complex landscapes by integrating multi-temporal Sentinel-2 images and machine learning algorithms 期刊论文
LAND USE POLICY, 2019, 卷号: 88, 页码: 11
Authors:  Wang, Ming;  Liu, Zhengjia;  Baig, Muhammad Hasan Ali;  Wang, Yongsheng;  Li, Yurui;  Chen, Yuanyan
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Crop phenology  Sentinel-2 images  Machine learning approach  Sugarcane mapping  Land use