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Journal of Remote Sensing 2023年第1期3卷 378-392页

作者： Zhenpeng Zuo Luofan Dong yuri knyazikhin Ranga BMyneni Department of Earth and Environment Boston UniversityBostonMAUSA

Estimating potential height of forests is one of key tasks in forest restoration *** regional maximum height statistics is difficult to account for local heterogeneity,biotic and abiotic mechanismbased methods are *** from the mainstream models that possesses either hydraulic constraint or mechanical constraint,we used a more lightweight model based on balance of water availability and consumption,named the Allometric Scaling and Resource Limitations *** enhancements were added,making up the third version of the model,and we deployed it using Google Earth Engine(GEE).A map of potential tree height at 90-m resolution is created for beech-maple-birch forests in northeastern United *** the oldest forests among the study area,the model reproduces the tree height level of~25 m with root mean square deviation(RMSD)of 3.71 m from a high-resolution product of canopy height *** a threshold of 20% deviation,82.9% of pixels agree with the existing tree *** of the oldest forests,RMSD raises to 5.01 m,and agreement drops to 75.3%.Over the entire study area,6.6% total pixels of interest have a predicted height below the current level.A total of 16.7% pixels have larger predictions relative to existing forest heights,with a half of them classified as mistakes of *** may come from uncertainty in climate reanalysis data and inadequate shading effects *** work confirms the applicability of this lightweight model for this static prediction task and explores the deployment of ecological mechanismbased models on the GEE platform.

关键词： Maple Engine constraint

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植被冠层立体结构与叶片倾角的偏振光效应

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遥感学报 2018年第6期22卷 935-946页

作者：杨彬晏磊 yuri knyazikhin 刘思远湖南大学电气与信息工程学院长沙410082 北京大学空间信息集成与3S工程应用北京市重点实验室北京100871 北京大学地球与空间科学学院遥感与地理信息系统研究所北京100871 波士顿大学地球与环境系波士顿MA02215

植被偏振特性研究对于植被监测与组分定量反演具有极其重要的作用。植被冠层的反射辐射具有偏振特性,这种特性与入射辐射和植被冠层结构相关。本文分析了偏振对光子—叶片—冠层之间细微相互作用及其变化的有效探测能力,并利用研究型扫... 详细信息

植被偏振特性研究对于植被监测与组分定量反演具有极其重要的作用。植被冠层的反射辐射具有偏振特性,这种特性与入射辐射和植被冠层结构相关。本文分析了偏振对光子—叶片—冠层之间细微相互作用及其变化的有效探测能力,并利用研究型扫描式偏振辐射仪RSP(Research Scanning Polarimeter)数据系统对比分析了偏振对不同叶倾角分布的估测。通过上述研究得出以下结论:(1)偏振观测能够对光线在冠层立体结构中的透射反射再出射过程给出精细刻画,若不用偏振手段对这一过程进行甄别并去除,则直接测算的植被散射系数会产生高达140%的误差;(2)利用偏振手段可以为高精度大倾角、多时相遥感观测提供可能,以此可改变目前光学遥感小角度、垂直观测的较严格约束;(3)偏振辐射呈现出随波长的稳定特性(相关系数>0.96),使得利用偏振手段可以更好地研究冠层结构;(4)不同叶倾角分布对入射辐射存在不同的偏振反射,为利用多角度偏振信息进行遥感植被精细分类提供了新的途径。本文详细描述冠层结构和植被偏振特性的相互作用,通过对冠层立体结构与叶倾角的研究,刻画了植被定量遥感的方向性信息与高精度实现,为高分辨率遥感定量化的有效信息挖掘提供了新手段。

关键词：入射观测几何冠层立体结构叶倾角偏振光效应 RSP 高分辨率遥感

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TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest

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International Journal of Digital Earth 2017年第7期10卷 701-718页

作者： Yi Lin Tian Wei Bin Yang yuri knyazikhin Yuhu Zhang Hisashi Sato Xing Fang Xinlian Liang Lei Yan Shanlin Sun Institute of Remote Sensing and GIS Beijing Key Lab of Spatial Information Integration and Its ApplicationsSchool of Earth and Space SciencesPeking UniversityBeijingPeople’s Republic of China North China University of Science and Technology TangshanPeople’s Republic of China Department of Earth and Environment Boston UniversityBostonUSA College of Resources Environment and Tourism Capital Normal UniversityBeijingPeople’s Republic of China Research Institute for Global Change JAMSTECKanagawaJapan School of Geodesy and Geomatics Wuhan UniversityWuhanPeople’s Republic of China Finnish Geospatial Research Institute MasalaFinland Guilin University of Aerospace Technology GuilinPeople’s Republic of China

In forest ecosystem studies,tree stem structure variables(SSVs)proved to be an essential kind of parameters,and now simultaneously deriving SSVs of as many kinds as possible at large scales is preferred for enhancing the frontier studies on marcoecosystem ecology and global carbon *** this newly emerging task,satellite imagery such as WorldView-2 panchromatic images(WPIs)is used as a potential solution for co-prediction of tree-level multifarious SSVs,with static terrestrial laser scanning(TLS)assumed as a‘bridge’.The specific operation is to pursue the allometric relationships between TLS-derived SSVs and WPI-derived feature parameters,and regression analyses with one or multiple explanatory variables are applied to deduce the prediction models(termed as Model1s and Model2s).In the case of Picea abies,Pinus sylvestris,Populus tremul and Quercus robur in a boreal forest,tests showed that Model1s and Model2s for different tree species can be derived(*** maximum R^(2)=0.574 for ***).Overall,this study basically validated the algorithm proposed for co-prediction of multifarious SSVs,and the contribution is equivalent to developing a viable solution for SSV-estimation upscaling,which is useful for large-scale investigations of forest understory,macroecosystem ecology,global vegetation dynamics and global carbon cycle.

关键词： Tree stem structure variable(SSV) WorldView-2 panchromatic image(WPI) static terrestrial laser scanning(TLS) allometric relationship co-prediction model

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A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020

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Journal of Remote Sensing 2021年第1期2021卷 74-93页

作者： Kai Yan Dongxiao Zou Guangjian Yan Hongliang Fang Marie Weiss Miina Rautiainen yuri knyazikhin Ranga B.Myneni School of Land Science and Techniques China University of GeosciencesChina State Key Laboratory of Remote Sensing Science Jointly Sponsored by Chinese Academy of Sciences and Beijing Normal UniversityChina Department of Earth and Environment Boston UniversityUSA LREIS Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesChina INRAE Avignon UniversitéUMR 1114 EMMAHUMT CAPTEF-84000 AvignonFrance Department of Built Environment School of EngineeringAalto UniversityFinland Department of Electronics and Nanoengineering School of Electrical EngineeringAalto UniversityFinland

The MODIS LAI/FPAR products have been widely used in various fields since their first public release in *** review intends to summarize the history,development trends,scientific collaborations,disciplines involved,and research hotspots of these *** aim is to intrigue researchers and stimulate new research *** on literature data from the Web of Science(WOS)and associated funding information,we conducted a bibliometric visualization review of the MODIS LAI/FPAR products from 1995 to 2020 using bibliometric and social network analysis(SNA)*** drew the following conclusions:(1)research based on the MODIS LAI/FPAR shows an upward trend with a multiyear average growth rate of 24.9%in the number of publications.(2)Researchers from China and the USA are the backbone of this research area,among which the Chinese Academy of Sciences(CAS)is the core research institution.(3)Research based on the MODIS LAI/FPAR covers a wide range of disciplines but mainly focus on environmental science and ecology.(4)Ecology,crop production estimation,algorithm improvement,and validation are the hotspots of these studies.(5)Broadening the research field,improving the algorithms,and overcoming existing difficulties in heterogeneous surface,scale effects,and complex terrains will be the trend of future *** work provides a clear view of the development of the MODIS LAI/FPAR products and valuable information for scholars to broaden their research fields.

关键词： FPAR backbone estimation

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