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The roles of criteria, data and classification methods in designing land cover classification systems: evidence from existing land cover data sets 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 卷号: 41, 期号: 14, 页码: 5062-5082
Authors:  Lei, Guangbin;  Li, Ainong;  Bian, Jinhu;  Zhang, Zhengjian
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Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 280, 页码: 14
Authors:  Xie, Xinyao;  Li, Ainong;  Tan, Jianbo;  Jin, Huaan;  Nan, Xi;  Zhang, Zhengjian;  Bian, Jinhu;  Lei, Guangbin
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Gross photosynthesis productivity (GPP)  Eddy covariance (EC)  Satellite data-driven model  Boreal ecosystem productivity simulator (BEPS)  Light use efficiency (LUE)  
Uncertainty analysis of multiple global GPP datasets in characterizing the lagged effect of drought on photosynthesis 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 113, 页码: 106224
Authors:  Xie Xinyao;  Li Ainong;  Tan Jianbo;  Lei Guangbin;  Jin Huaan;  Zhang Zhengjian
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Global GPP datasets  Lagged effect of drought  Photosynthesis  LUE-based models  ML-based models  Process-based models  
Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 690, 页码: 1120-1130
Authors:  Xie, Xinyao;  Li, Ainong;  Jin, Huaan;  Tan, Jianbo;  Wang, Changbo;  Lei, Guangbin;  Zhang, Zhengjian;  Bian, Jinhu;  Nan, Xi
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Satellite-derived LAI datasets  Gross primary productivity  Topographic effects  LUE model  Process-based model  
Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data 期刊论文
Remote Sensing, 2019, 卷号: 11, 期号: 21, 页码: 2517
Authors:  Jin Huaan;  Xu Weixing;  Li Ainong;  Xie Xinyao;  Zhang Zhengjian;  Xia Haoming
Adobe PDF(5578Kb)  |  Favorite  |  View/Download:38/2  |  Submit date:2019/11/28
Lai  Data Assimilation  Multiscale  Modis  Landsat  
A SD-MaxEnt-CA model for simulating the landscape dynamic of natural ecosystem by considering socio-economic and natural impacts 期刊论文
ECOLOGICAL MODELLING, 2019, 卷号: 410, 页码: 11
Authors:  Tan, Jianbo;  Li, Ainong;  Lei, Guangbin;  Xie, Xinyao
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Landscape dynamics simulation  Natural ecosystems  SD-MaxEnt-CA model  Socio-Economy  Climate changes  
Evaluation of topographic effects on multiscale leaf area index estimation using remotely sensed observations from multiple sensors 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 154, 页码: 176-188
Authors:  Jin, Huaan;  Li, Ainong;  Xu, Webdng;  Xiao, Zhiqiang;  Jiang, Jingyi;  Xue, Huazhu
Adobe PDF(11097Kb)  |  Favorite  |  View/Download:23/0  |  Submit date:2019/10/08
Leaf area index  MODIS  Landsat  Multiscale  Mountainous areas  
A novel and direct ecological risk assessment index for environmental degradation based on response curve approach and remotely sensed data 期刊论文
ECOLOGICAL INDICATORS, 2019, 卷号: 98, 页码: 783-793
Authors:  Tan, Jianbo;  Li, Ainong;  Lei, Guangbin;  Bian, Jinhu;  Zhang, Zhenjian
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Environmental degradation  Ecological risk assessment index  Response curve of ecosystems to environment  Remotely sensed data  Xishuangbanna  
An improved method for assessing vegetation cooling service in regulating thermal environment: A case study in Xiamen, China 期刊论文
ECOLOGICAL INDICATORS, 2019, 卷号: 98, 页码: 531-542
Authors:  Zhao, Wei;  Li, Ainong;  Huang, Qingxu;  Gao, Yanni;  Li, Fujie;  Zhang, Linbo
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Ecosystem  Cooling service  Vegetation cover  Urban heat island  Land surface temperature  Xiamen  
Retrieval of High Spatiotemporal Resolution Leaf Area Index with Gaussian Processes, Wireless Sensor Network, and Satellite Data Fusion 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 3, 页码: 18
Authors:  Yin, Gaofei;  Verger, Aleixandre;  Qu, Yonghua;  Zhao, Wei;  Xu, Baodong;  Zeng, Yelu;  Liu, Ke;  Li, Jing;  Liu, Qinhuo
Adobe PDF(4655Kb)  |  Favorite  |  View/Download:46/0  |  Submit date:2019/04/15
leaf area index  uncertainty  Gaussian processes  wireless sensor network  data fusion  Landsat  MODIS  validation