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683 条 记 录,以下是 1-30

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Positive biodiversity-productivity relationship predominant in global forests被引量:927收藏 分享
作者:Liang, Jingjing[1] Crowther, Thomas W.[2,3,93] Picard, Nicolas[4] Wiser, Susan[5] Zhou, Mo[1]
机构:West Virginia Univ;Netherlands Inst Ecol;Yale Univ;Food & Agr Org United Nations;Landcare Res
来源:SCIENCE  2016
A drought-induced pervasive increase in tree mortality across Canada's boreal forests被引量:622收藏 分享
作者:Peng, Changhui[1,2] Ma, Zhihai[1] Lei, Xiangdong[1,3] Zhu, Qiuan[1,2] Chen, Huai[1,2]
机构:Univ Quebec;NW A&F Univ;Chinese Acad Forestry;Chinese Acad Forestry
来源:NATURE CLIMATE CHANGE  2011
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years被引量:379收藏 分享
作者:Xiao, Jingfeng[1] Chevallier, Frederic[2] Gomez, Cecile[3] Guanter, Luis[4] Hicke, Jeffrey A.[5]
机构:Univ New Hampshire;Univ Paris Saclay;Univ Montpellier;Univ Politecn Valencia;Univ Idaho
来源:REMOTE SENSING OF ENVIRONMENT  2019
关键词:Carbon fluxes   Carbon stocks   Optical remote sensing   Microwave remote sensing   Lidar   Solar-induced chlorophyll fluorescence   Carbon cycling   Aboveground biomass   Disturbance   Carbon-climate feedbacks  
Watershed Allied Telemetry Experimental Research被引量:307收藏 分享
作者:Li, Xin[1] Li, Xiaowen[4,5] Li, Zengyuan[2] Ma, Mingguo[1] Wang, Jian[1]
机构:Chinese Acad Sci;Chinese Acad Forestry;Univ Elect Sci & Technol China;Chinese Acad Sci;Beijing Normal Univ
来源:JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES  2009
International benchmarking of terrestrial laser scanning approaches for forest inventories被引量:284收藏 分享
作者:Liang, Xinlian[1] Hyyppa, Juha[1] Kaartinen, Harri[1,2] Lehtomaki, Matti[1] Pyorala, Jiri[1,4]
机构:Finnish Geospatial Res Inst;Univ Turku;Tech Univ Wien;Univ Helsinki;Univ Sopron
来源:ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING  2018
关键词:Benchmarking   State-of-the-art   Forest   Modeling   Point cloud   Terrestrial laser scanning   TLS  
Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data被引量:188收藏 分享
作者:Liu, Luxia[1,4] Coops, Nicholas C.[2] Aven, Neal W.[3] Pang, Yong[4]
机构:Anhui Agr Univ;Univ British Columbia;Pk Div;Chinese Acad Forestry
来源:REMOTE SENSING OF ENVIRONMENT  2017
关键词:Urban tree species classification   Airborne LiDAR   Airborne hyperspectral   Random forest   British Columbia, Canada  
Large-scale land cover mapping with the integration of multi-source information based on the Dempster-Shafer theory被引量:171收藏 分享
作者:Ran, Y. H.[1] Li, X.[1] Lu, L.[1] Li, Z. Y.[2]
机构:Chinese Acad Sci;Chinese Acad Forestry
来源:INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE  2012
关键词:land cover   data fusion   remote sensing   land surface modeling   China  
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing被引量:156收藏 分享
作者:Liu, Fan[1,2] Chen, Delong[3] Guan, Zhangqingyun[1] Zhou, Xiaocong[1] Zhu, Jiale[1]
机构:Hohai Univ;Minist Water Resources;Hong Kong Univ Sci & Technol;Nanjing Forestry Univ;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2024
关键词:Contrastive language image pretraining (CLIP)   foundation model   multimodality   remote sensing   vision-language  
Assessment of the impact of the Poplar Ecological Retreat Project on water conservation in the Dongting Lake wetland region using the InVEST model被引量:149收藏 分享
作者:Hu, Wenmin[1,2] Li, Guo[1] Gao, Zhihai[2] Jia, Guanyu[1] Wang, Zhongchen[1]
机构:Cent South Univ Forestry & Technol;Chinese Acad Forestry;Hunan Agr Univ
来源:SCIENCE OF THE TOTAL ENVIRONMENT  2020
关键词:Water conservation   Poplar ecological retreat   Ecosystem services   Dongting Lake   Landscape pattern   InVEST model  
Land use change in Asia and the ecological consequences被引量:145收藏 分享
作者:Zhao, Shuiqing Peng, Changhui Jiang, Hong Tian, Dalun Lei, Xiangdong
机构:Univ Quebec;Chinese Acad Sci;Zhejiang Forestry Univ;Nanjing Univ;Cent S Univ Forestry & Technol
来源:ECOLOGICAL RESEARCH  2006
关键词:agricultural intensification   deforestation   freshwater habitats degradation   sustainable land use   urbanization  
Characterizing forest canopy structure with lidar composite metrics and machine learning被引量:141收藏 分享
作者:Zhao, Kaiguang[1,2] Popescu, Sorin[3] Meng, Xuelian[4] Pang, Yong[5] Agca, Muge[3]
机构:Duke Univ;Duke Univ;Texas A&M Univ;Ohio State Univ;Chinese Acad Forestry
来源:REMOTE SENSING OF ENVIRONMENT  2011
关键词:Lidar   Laser scanner   Canopy   Biomass   Carbon   Machine learning   Gaussian process   Support vector machine   Forest fuel  
Relationships between stand growth and structural diversity in spruce-dominated forests in New Brunswick, Canada被引量:135收藏 分享
作者:Lei, Xiangdong[1,2] Wang, Weifeng[1] Peng, Changhui[1]
机构:Univ Quebec;Chinese Acad Forestry
来源:CANADIAN JOURNAL OF FOREST RESEARCH  2009
关键词:Biodiversity  
Estimation of forest biomass dynamics in subtropical forests using multi-temporal airborne LiDAR data被引量:122收藏 分享
作者:Cao, Lin[1,2] Coops, Nicholas C.[2] Innes, John L.[2] Sheppard, Stephen R. J.[2] Fu, Liyong[3]
机构:Nanjing Forestry Univ;Univ British Columbia;Chinese Acad Forestry
来源:REMOTE SENSING OF ENVIRONMENT  2016
关键词:Multi-temporal   Airborne LiDAR   Subtropical forest   Biomass change   Forest growth   Canopy height   Direct approach  
Multiscale 3-D-2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification被引量:118收藏 分享
作者:Sun, Le[1] Wang, Xinyu[2] Zheng, Yuhui[2,3] Wu, Zebin[2] Fu, Liyong[4]
机构:Nanjing Univ Informat Sci & Technol;Nanjing Univ Informat Sci & Technol;Qinghai Normal Univ;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2024
关键词:Convolutional neural network (CNN)   hyperspectral image (HSI)   joint classification   light detection and ranging (LiDAR) data   multiscale   transformer  
Learning Robust Discriminant Subspace Based on Joint L-2,L- p- and L-2,L-s-Norm Distance Metrics被引量:116收藏 分享
作者:Fu, Liyong[1,2,3] Li, Zechao[4] Ye, Qiaolin[2] Yin, Hang[2] Liu, Qingwang[3,5]
机构:Cent South Univ Forestry & Technol;Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Natl Forestry & Grassland Adm
来源:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  2022
关键词:Discriminant power   joint L-2,L- p- and L-2,L-s-norm   nongreedy   robust discriminant analysis (RDA)   rotational invariance   s-norm distance metrics  
Nonpeaked Discriminant Analysis for Data Representation被引量:110收藏 分享
作者:Ye, Qiaolin[1,2] Li, Zechao[3] Fu, Liyong[2,4] Zhang, Zhao[5,6] Yang, Wankou[7]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Natl Forestry & Grassland Adm;Soochow Univ
来源:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  2019
关键词:Cutting L-norm distance   data classification   discriminant analysis   robustness  
Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data被引量:107收藏 分享
作者:Xie, Zhuli[1,2] Chen, Yaoliang[3,4] Lu, Dengsheng[1,2] Li, Guiying[3,4] Chen, Erxue[5]
机构:Zhejiang A&F Univ;Zhejiang A&F Univ;Fujian Normal Univ;Fujian Normal Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2019
关键词:tree species   classification   ZiYuan-3   stereo image   machine learning  
Leaf image based plant disease identification using transfer learning and feature fusion被引量:97收藏 分享
作者:Fan, Xijian[1] Luo, Peng[2,3] Mu, Yuen[1] Zhou, Rui[1] Tjahjadi, Tardi[4]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Natl Forestry & Grassland Adm;Univ Warwick;Natl Forestry & Grassland Adm
来源:COMPUTERS AND ELECTRONICS IN AGRICULTURE  2022
关键词:Plant disease   Transfer learning   Feature fusion   Convolutional neural network  
Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China被引量:96收藏 分享
作者:Fu, Liyong[1] Sun, Hua[2] Sharma, Ram P.[3] Lei, Yuancai[1] Zhang, Huiru[1]
机构:Chinese Acad Forestry;Cent South Univ Forestry & Technol;Norwegian Univ Life Sci
来源:FOREST ECOLOGY AND MANAGEMENT  2013
关键词:Cunninghamia lanceolata   Heteroskedasticity   Individual-tree crown width model   Two-level nonlinear mixed-effects model  
Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting被引量:93收藏 分享
作者:Liu, Zhiyong[1] Zhou, Ping[2] Chen, Gang[3] Guo, Ledong[2]
机构:Heidelberg Univ;Guangdong Acad Forestry;Chinese Acad Forestry
来源:JOURNAL OF HYDROLOGY  2014
关键词:Wavelet analysis   Support vector regression   Streamflow forecasting   Model averaging   Indiana  
Synergy of satellite and ground based observations in estimation of particulate matter in eastern China被引量:89收藏 分享
作者:Wu, Yerong[2,3,4] Guo, Jianping[1] Zhang, Xiaoye[1] Tian, Xin[5] Zhang, Jiahua[1]
机构:Chinese Acad Meteorol Sci;Chinese Acad Sci;Beijing Normal Univ;Beijing Normal Univ;Chinese Acad Forestry
来源:SCIENCE OF THE TOTAL ENVIRONMENT  2012
关键词:PM   AOD   Synergy   BP ANN   PBLH  
Least squares twin bounded support vector machines based on L1-norm distance metric for classification被引量:85收藏 分享
作者:Yan, He[1] Ye, Qiaolin[1,4,5] Zhang, Tian'an[1,2] Yu, Dong-Jun[3] Yuan, Xia[3]
机构:Nanjing Forestry Univ;Nanjing Forestry Univ;Nanjing Univ Sci & Technol;Nanjing Univ Sci & Technol;Huaiyin Inst Technol
来源:PATTERN RECOGNITION  2018
关键词:L1-LSTBSVM   TBSVM   L1-norm distance   Outliers  
Wheat lodging monitoring using polarimetric index from RADARSAT-2 data被引量:83收藏 分享
作者:Yang, Hao[1,2] Chen, Erxue[1] Li, Zengyuan[1] Zhao, Chunjiang[2] Yang, Guijun[2]
机构:Chinese Acad Forestry;Beijing Acad Agr & Forestry Sci;CNR;Univ Tuscia
来源:INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION  2015
关键词:Wheat lodging   Radarsat-2   Polarimetric feature   Multi-temporal   Monitoring   Disaster  
Assessing impacts of the Ecological Retreat project on water conservation in the Yellow River Basin被引量:78收藏 分享
作者:Jia, Guanyu[1,2] Hu, Wenmin[1,2,3] Zhang, Bin[4] Li, Guo[1,2] Shen, Shouyun[1,2]
机构:Cent South Univ Forestry & Technol;Engn Technol Res Ctr Big Data Landscape Resources;Chinese Acad Forestry;Huazhong Agr Univ;Hunan Agr Univ
来源:SCIENCE OF THE TOTAL ENVIRONMENT  2022
关键词:Water yield   InVEST model   Ecological project   Machine learning   Yellow River Basin  
A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China被引量:76收藏 分享
作者:Fu, Liyong[1,2] Zhang, Huiru[1] Sharma, Ram P.[3] Pang, Lifeng[1] Wang, Guangxing[4]
机构:Chinese Acad Forestry;Penn State Univ;Czech Univ Life Sci Prague;Southern Illinois Univ Carbondale
来源:FOREST ECOLOGY AND MANAGEMENT  2017
关键词:Model calibration   Random effects   Heteroscedasticity   Two-level mixed-effects model   Optimal sample size  
Spatiotemporal characteristics of dryness/wetness conditions across Qinghai Province, Northwest China被引量:75收藏 分享
作者:Liu, Zhiyong[1] Zhou, Ping[2] Zhang, Fangqiu[2] Liu, Xiande[3] Chen, Gang[4]
机构:Heidelberg Univ;Guangdong Acad Forestry;Acad Water Resources Conservat Forests Qilian Mt;Chinese Acad Forestry
来源:AGRICULTURAL AND FOREST METEOROLOGY  2013
关键词:Drought   Self-calibrating PDSI   Mann-Kendall test   Rotated EOF   Qinghai Province  
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition被引量:74收藏 分享
作者:Fu, Liyong[1,2] Zhang, Dong[3] Ye, Qiaolin[4]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Nanjing Forestry Univ
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2021
关键词:Attention learning   convolutional neural networks (CNNs)   object detection   remote sensing scene (RSS) classification   RSS recognition  
LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System被引量:72收藏 分享
作者:Pang, Yong[1,2] Li, Zengyuan[1,2] Ju, Hongbo[1,2] Lu, Hao[1] Jia, Wen[1]
机构:Chinese Acad Forestry;State Forestry Adm China;Chinese Acad Sci;Chinese Acad Sci
来源:REMOTE SENSING  2016
关键词:airborne remote sensing   forest structure   waveform LiDAR   CCD   imaging spectroscopy   multi-angle  
Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework被引量:72收藏 分享
作者:Sun, Chenxin[1] Huang, Chengwei[1] Zhang, Huaiqing[2] Chen, Bangqian[3] An, Feng[3]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Chinese Acad Trop Agr Sci;Nanjing Forestry Univ
来源:FRONTIERS IN PLANT SCIENCE  2022
关键词:airborne LiDAR   deep learning   heightmap   individual tree crown segmentation   forest parameter retrieval  
Estimation of forest above-ground biomass using multi-parameter remote sensing data over a cold and arid area被引量:72收藏 分享
作者:Tian, Xin[1,2] Su, Zhongbo[2] Chen, Erxue[1] Li, Zengyuan[1] van der Tol, Christiaan[2]
机构:Chinese Acad Forestry;Univ Twente;Chinese Acad Meteorol Sci
来源:INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION  2012
关键词:k-NN method   Regression method   Above-ground biomass   Configuration  
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