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  • 收录类型=EI x
  • 人物=余涛 x

8 条 记 录,以下是 1-8

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Comparison of Machine Learning Methods to Up-Scale Gross Primary Production被引量:27收藏 分享
作者:Yu, Tao[1,2,3,4] Zhang, Qiang[3,4,5] Sun, Rui[3,4,5]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Beijing Normal Univ;Chinese Acad Sci;Beijing Normal Univ
来源:REMOTE SENSING  2021
关键词:GPP   up-scaling   machine learning   validation  
Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-Scale Satellite Images被引量:18收藏 分享
作者:Yu, Tao[1,2] Liu, Pengju[1,2] Zhang, Qiang[3] Ren, Yi[4] Yao, Jingning[5]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Natl Nat Sci Fdn China;Natl Forestry & Grassland Adm;Natl Forestry & Grassland Adm
来源:REMOTE SENSING  2021
关键词:forest degradation   indicators   MODIS   multi-scale   validation  
Spatial Assessment of Health Economic Losses from Exposure to Ambient Pollutants in China被引量:6收藏 分享
作者:Wang, Kun[1] Wang, Wen[1] Wang, Weijia[1] Jiang, Xiaoqun[1] Yu, Tao[2]
机构:Renmin Univ China;Chinese Acad Forestry;IMSG Inc;NOAA
来源:REMOTE SENSING  2020
关键词:spatial resolution   remote sensing   ambient pollutants   economic losses   spatial assessment  
China's larch stock volume estimation using Sentinel-2 and LiDAR data被引量:6收藏 分享
作者:Yu, Tao[1,2] Pang, Yong[1,2] Liang, Xiaojun[1,2] Jia, Wen[1,2] Bai, Yu[1,2]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Chinese Acad Forestry;Xian Univ Sci & Technol;Natl Forestry & Grassland Adm
来源:GEO-SPATIAL INFORMATION SCIENCE  0
关键词:Sentinel-2   LiDAR   stock volume   larch   validation  
Spatial Representativeness of Gross Primary Productivity from Carbon Flux Sites in the HEIhe River Basin, China被引量:3收藏 分享
作者:Yu, Tao[1,2,3,4] Zhang, Qiang[3,4,5] Sun, Rui[3,4,5]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Beijing Normal Univ;Chinese Acad Sci;Beijing Normal Univ
来源:REMOTE SENSING  2021
关键词:GPP   spatial representativeness   footprint   land cover types  
Estimation and Spatiotemporal Variation Analysis of Net Primary Productivity in the Upper Luanhe River Basin in China From 2001 to 2017 Combining With a Downscaling Method被引量:3收藏 分享
作者:Liu, Qinru[1,2] Zhao, Liang[1,2] Sun, Rui[1,2] Yu, Tao[3] Cheng, Shun[4]
机构:Beijing Normal Univ;Beijing Normal Univ;Chinese Acad Forestry;Saihanba Machine Forest Ctr
来源:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING  2022
关键词:Forestry   Vegetation mapping   Productivity   Remote sensing   Biological system modeling   Rivers   Spatiotemporal phenomena   Climate controls   downscaling   net primary productivity (NPP)   spatiotemporal variation   the upper Luanhe River basin  
Spatial Downscaling of Vegetation Productivity in the Forest From Deep Learning被引量:2收藏 分享
作者:Yu, Tao[1,2] Pang, Yong[1,2] Sun, Rui[3,4,5] Niu, Xiaodong[1,2]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Beijing Normal Univ;Chinese Acad Sci;Beijing Normal Univ
来源:IEEE ACCESS  2022
关键词:Forestry   Spatial resolution   Remote sensing   Deep learning   Deep learning   Biological system modeling   Vegetation mapping   Land surface   Global navigation satellite system   Downscaling   vegetation productivity   deep learning   GLASS   validation  
Investigation of Long-Term Forest Dynamics in Protected Areas of Northeast China Using Landsat Data被引量:1收藏 分享
作者:Wang, Jianbang[1,2] He, Zhuoyu[1,2] Wang, Chunling[2] Feng, Min[2,3] Pang, Yong[4]
机构:Lanzhou Univ;Chinese Acad Sci;Qinghai Normal Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2022
关键词:forest dynamics   Landsat   tree-canopy cover   forest protected area   northeast China  
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