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Journal of Wuhan University of Technology(Materials Science) 2023年第2期38卷 274-279页

作者： hao zhenbang TIAN Qihang CAO Shiyi HAN Xiaoyu ZHANG Jihong XIE Jun Zhao Xiujian State Key Laboratory of Silicate Materials for Architectures(Wuhan University of Technology) Wuhan430070China International School of Materials Science and Engineering Wuhan University of TechnologyWuhan430070China Hainan Research Institute of Wuhan University of Technology Sanya572100China

Novel hollow Au Ag alloy nano urchins were synthesized via Ag seeds growth method,and self-assembly coated on the wall and end-tip of silica fiber for fiber probe *** nano urchins homogeneously distributed on fiber surface because of fiber *** sizes and tip sharpness of the nano-urchins could be controlled by Ag *** elements distribution analysis indicated there was high Ag content in tip-top for better surface enhance Raman scattering *** detectable concentration could be as low as 10-8 M using crystal violet molecules as ***,the fiber probes were stable in air,due to Au in the *** fiber probe could be used for low content single molecular analysis.

关键词： surface enhanced raman spectroscopy hollow Au-Ag alloy nano urchins fiber probe

Effect of layer thickness and voxel size inversion on leaf area density based on the voxel-based canopy profiling method

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Journal of Forestry Research 2022年第5期33卷 1545-1558页

作者： Yan Chen Jian Liu Xiong Yao Yangbo Deng zhenbang hao Lingchen Lin Nankun Wu Kunyong Yu College of Forestry Fujian Agriculture and Forestry UniversityFuzhouFujian 350002The People’s Republic of China

Voxel-based canopy profiling is commonly used to determine small-scale leaf *** thickness and voxel size impact accuracy when using this ***,we determined the optimal combination of layer thickness and voxel size to estimate leaf area density *** LiDAR Stonex X300 was used to generate point cloud data for Masson pines(Pinus massoniana).The canopy layer was stratified into 0.10-1.00-m-thick layers,while voxel size was 0.01-0.10 *** leaf area density of individual trees was estimated using leaf area indices for the upper,middle,and lower canopy and the overall *** true leaf area index,obtained by layered harvesting,was used to verify the inversion *** area density was inverted by nine combinations of layer thickness and voxel *** average relative accuracy and mean estimated accuracy of these combined inversion results exceeded 80%.When layer thickness was 1.00 m and voxel size 0.05 m,inversion was closest to the true *** average relative accuracy was 92.58%,mean estimated accuracy 98.00%,and root mean square error *** combination of leaf area density and index was accurately *** conclusion,nondestructive voxel-based canopy profiling proved suitable for inverting the leaf area density of Masson pine in Hetian Town,Fujian Province.

关键词： Terrestrial LiDAR Leaf area density Pinus massoniana Voxel-based canopy profiling method Layer thickness Voxel size

Developing a USLE cover and management factor(C)for forested regions of southern China

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Frontiers of Earth Science 2020年第3期14卷 660-672页

作者： Conghui Li Lili Lin zhenbang hao Christopher J.Post Zhanghao Chen Jian Liu Kunyong Yu Fujian Agriculture and Forestry University Fuzhou350002China University Key Laboratory for Geomatics Technology and Optimized Resources Utilization in Fujian Province Fuzhou350002China Department of Forestry and Environmental Conservation Clemson UniversityClemsonSC29634USA

The Universal Soil Loss Equation model is often used to improve soil resource conservation by monitoring and forecasting soil *** study tested a novel method to determine the cover and management factor(C)of this model by coupling the leaf area index(LAI)and soil basal respiration(SBR)to more accurately estimate a soil erosion map for a typical region with red soil in Hetian,Fujian Province,*** spatial distribution of the LAI was obtained using the normalized difference vegetation index and was consistent with the LAI observed in the field(R^2=0.66).The spatial distribution of the SBR was obtained using the Carnegie-Ames-Stanford Approach model and verified by soil respiration field observations(R^2=0.51).Correlation analyses and regression models suggested that the LAI and SBR could reasonably reflect the structure of the forest canopy and understory vegetation,***,the C-factor was reconstructed using the proposed forest vegetation structure factor(Cs),which considers the effect of the forest canopy and shrub and litter layers on reducing rainfall *** feasibility of this new method was thoroughly verified using runoff plots(R2=0.55).The results demonstrated that Cs may help local governments understand the vital role of the structure of the vegetation layer in limiting soil erosion and provide a more accurate large-scale quantification of the C-factor for soil erosion.

关键词： leaf area index remote sensing soil basal respiration forest vegetation structure factor vegetation layer structure

The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

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International Journal of Digital Earth 2023年第1期16卷 3753-3771页

作者： zhenbang hao Lili Lin Christopher J.Post Elena A.Mikhailova Kunyong Yu Huirong Fang Jian Liu Zhangzhou Institute of Technology ZhangzhouPeople’s Republic of China College of Biological Science and Biotechnology Minnan Normal UniversityZhangzhouPeople’s Republic of China Department of Forestry and Environmental Conservation Clemson UniversityClemsonSCUSA University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province FuzhouPeople’s Republic of China

Individual tree detection and delineation(ITDD)is an important subject in forestry and urban *** study represents the first research to propose the concept of crown resolution to comprehensively evaluate the co-effect of image resolution and crown size on deep *** images with different resolutions were derived from a DJI Unmanned Aerial Vehicle(UAV),and 1344 manually delineated Chinese fir(Cunninghamia lanceolata(Lamb)Hook)tree crowns were used for six training and validation mask region-based convolutional neural network(Mask R-CNN)models,while additional 476 delineated tree crowns were reserved for *** overall detection accuracy,the influence of different crown sizes,and crown resolutions were calculated to evaluate model performance accuracy with different image resolutions for *** show that the highest accuracy was achieved when the crown resolution was between 800 and 12800 pixels/*** accuracy of ITDD was impacted by crown resolution,and it was unable to effectively identify Chinese fir when the crown resolution was less than 25 pixels/tree or higher than 12800 pixels/*** study highlights crown resolution as a critical factor affecting ITDD and suggests selecting the appropriate resolution based on the target detected crown size.

关键词： Mask R-CNN instance segmentation UAV image resolution crown-like characteristics

Retrieving chlorophyll content and equivalent water thickness of Moso bamboo(Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress from Sentinel-2A/B images in a multiple LUTs-based PROSAIL framework

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Forest Ecosystems 2023年第2期10卷 252-267页

作者： Zhanghua Xu Anqi He Yiwei Zhang zhenbang hao Yifan Li Songyang Xiang Bin Li Lingyan Chen Hui Yu Wanling Shen Xuying Huang Xiaoyu Guo Zenglu Li College of Environment and Safety Engineering Academy of Geography and Ecological EnvironmentFuzhou UniversityFuzhou350108China Fujian Provincial Key Laboratory of Resources and Environment Monitoring&Sustainable Management and Utilization Sanming365004China Key Laboratory of Spatial Data Mining&Information Sharing Ministry of EducationThe Academy of Digital ChinaFuzhou UniversityFuzhou350108China College of Forestry Fujian Agriculture and Forestry UniversityFuzhou350002China International Institute for Earth System Science Nanjing UniversityNanjing210023China

Biochemical components of Moso bamboo(Phyllostachys pubescens)are critical to physiological and ecological processes and play an important role in the material and energy cycles of the *** coupled PROSPECT with SAIL(PROSAIL)radiative transfer model is widely used for vegetation biochemical component content ***,the presence of leaf-eating pests,such as Pantana phyllostachysae Chao(PPC),weakens the performance of the model for estimating biochemical components of Moso bamboo and thus must be ***,this study considered pest-induced stress signals associated with Sentinel-2A/B images and field data and established multiple sets of biochemical canopy reflectance look-up tables(LUTs)based on the PROSAIL framework by setting different parameter ranges according to infestation *** inversions of leaf area index(LAI),leaf chlorophyll content(LCC),and leaf equivalent water thickness(LEWT)were *** scale conversions from LCC to canopy chlorophyll content(CCC)and LEWT to canopy equivalent water thickness(CEWT)were *** results showed that LAI,CCC,and CEWT were inversely related with PPC-induced *** applying multiple LUTs,the p-values were<0.01;the R2 values for LAI,CCC,and CEWT were 0.71,0.68,and 0.65 with root mean square error(RMSE)(normalized RMSE,NRMSE)values of 0.38(0.16),17.56μg cm-2(0.20),and 0.02 cm(0.51),*** to the values obtained for the traditional PROSAIL model,for October,R2 values increased by 0.05 and 0.10 and NRMSE decreased by 0.09 and 0.02 for CCC and CEWT,respectively and RMSE decreased by 0.35μg cm-2 for *** feasibility of the inverse strategy for integrating pest-induced stress factors into the PROSAIL model,while establishing multiple LUTs under different pest-induced damage levels,was successfully demonstrated and can potentially enhance future vegetation parameter inversion and monitoring of bamboo forest health and ecosystems.

关键词： Moso bamboo Chlorophyll content Equivalent water thickness PROSAIL model Multiple LUTs Pantana phyllostachysae Chao Sentinel-2A/B images

南方典型毛竹经营区土壤肥力及其空间特征——以福建省顺昌县毛竹林经营区为例

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东北林业大学学报 2020年第3期48卷 79-83,115页

作者：郝振帮林丽丽刘健余坤勇俞欣妍 3S技术与资源优化利用福建省高等学校重点实验室(福建农林大学) 福州350002

通过测定顺昌县大干镇2016年59个毛竹监测点的土壤肥力相关指标,运用模糊数学和主成分分析计算各采样点的土壤肥力指数,实现对区域毛竹林地土壤肥力的综合评价,并绘制土壤肥力及相关指标的空间分布图。结果表明:除pH值为弱变异性外,其... 详细信息

通过测定顺昌县大干镇2016年59个毛竹监测点的土壤肥力相关指标,运用模糊数学和主成分分析计算各采样点的土壤肥力指数,实现对区域毛竹林地土壤肥力的综合评价,并绘制土壤肥力及相关指标的空间分布图。结果表明:除pH值为弱变异性外,其他的土壤指标均为中等变异;通过主成分分析得出,对毛竹土壤肥力影响较大的指标为有机质质量分数、水解氮质量分数、毛管持水量、田间持水量、土壤密度、土壤含水量和全氮质量分数;研究区有机质、全钾和全氮质量分数较为丰富,全磷质量分数匮乏。土壤肥力总体较好,大多处于中上水平。建议在今后的毛竹经营过程中,注重对磷肥的施用。

关键词：毛竹土壤肥力土壤理化性质主成分分析空间分布

南方集体林区典型毛竹经营区林分质量遥感量化研究

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林业资源管理 2019年第6期 84-90页

作者：林丽丽郝振帮戴姗霖杨柳青刘健余坤勇 3S技术与资源优化利用福建省高等学校重点实验室福建农林大学艺术学院园林学院福建农林大学林学院

以福建省顺昌县大干镇的2017年SPOT-7数据为基础,获取同期地面调查基础数据,通过主成分分析提取响应毛竹林分质量变化的植被复合指数,结合植被净初级生产力(NPP)、干扰指数,采用层次分析法构建基于遥感数据源的林分质量评价模型,开展毛... 详细信息

以福建省顺昌县大干镇的2017年SPOT-7数据为基础,获取同期地面调查基础数据,通过主成分分析提取响应毛竹林分质量变化的植被复合指数,结合植被净初级生产力(NPP)、干扰指数,采用层次分析法构建基于遥感数据源的林分质量评价模型,开展毛竹经营质量的量化评价。结果表明:基于SPOT所构建的毛竹林分质量与平均胸径、毛竹林分龄级具有相关性;评价结果与地面样地调查的林分质量进行拟合,决定系数R2为0.757,总平均精度达83.29%,具有一致性;研究区各乡镇毛竹林分质量整体情况为干山村>乡林场>土垄村>良坊村>武坊村。整体表明,通过遥感数据的转换与挖掘,结合地形因子、植被净初级生产力和干扰指数,可实现南方集体林区毛竹资源经营成效的有效监测。

关键词：毛竹林分质量遥感地形因子植被指数

温度胁迫对意大利蜜蜂工蜂封盖子能量消耗的影响

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福建农林大学学报（自然科学版） 2018年第3期47卷 347-351页

作者：郝振帮徐新建周姝婧周冰峰朱翔杰福建农林大学蜂学学院福建福州350002

蜜蜂蜂子发育具有狭温性,偏离最适温度影响蜂子正常发育.为了揭示温度胁迫对蜂子能量消耗的影响,本研究测定了29、31、35、37、38℃条件下,意大利蜜蜂工蜂封盖子不同发育阶段的能量消耗.结果表明:在29℃条件下,封盖子能量消耗受到抑制,... 详细信息

蜜蜂蜂子发育具有狭温性,偏离最适温度影响蜂子正常发育.为了揭示温度胁迫对蜂子能量消耗的影响,本研究测定了29、31、35、37、38℃条件下,意大利蜜蜂工蜂封盖子不同发育阶段的能量消耗.结果表明:在29℃条件下,封盖子能量消耗受到抑制,但完成封盖期发育会增加糖、蛋白和脂肪的消耗量;31℃条件下,封盖子发育过程中的总糖和总蛋白的消耗也受到抑制,但完成封盖期发育消耗的总能量与35℃相同;37℃条件对封盖子能量消耗无影响;38℃高温胁迫抑制封盖子能量的消耗.

关键词：蜜蜂封盖子温度胁迫能量消耗发育

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林分郁闭度自动测量系统的研建与应用

林业资源管理 2020年第2期 167-172页

作者：林丽丽郝振帮杨柳青高仰驰刘艳芬余坤勇刘健 3S技术与资源优化利用福建省高等学校重点实验室福建农林大学艺术学院园林学院福建农林大学林学院

自动快速获取林分郁闭度参数是林业信息现代化建设的需求。为快速低成本地计算郁闭度,设计了一种郁闭度自动测定系统。系统利用树莓派及算法编程进行开发,具备野外数据采集和远程信息管理的功能。采用同心圆环切割和二值化相结合的图像... 详细信息

自动快速获取林分郁闭度参数是林业信息现代化建设的需求。为快速低成本地计算郁闭度,设计了一种郁闭度自动测定系统。系统利用树莓派及算法编程进行开发,具备野外数据采集和远程信息管理的功能。采用同心圆环切割和二值化相结合的图像处理技术实现郁闭度值提取,避免复杂的鱼眼镜头畸变校正过程。系统提供可视化界面,集成树莓派、鱼眼镜头、电池和无线路由器等,操作简便。以三明市金丝湾森林公园的米槠林为研究案例,使用自动郁闭度测量系统获取林分郁闭度值与抬头望法测定的郁闭度值进行对比分析,得出系统测定的郁闭度值与抬头望法的R;为0.699。系统有助于郁闭度的快速测定。

关键词：环切二值化郁闭度鱼眼镜头物联网

Compact Sn/C composite realizes long-life sodium-ion batteries

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Nano Research 2023年第3期16卷 3804-3813页

作者： Mingdong Tan Shuanghui Han zhenbang Li hao Cui Danni Lei Chengxin Wang State Key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and EngineeringSun Yat-sen UniversityGuangzhou 510275China

Sodium-ion batteries are considered as a promising low-cost alternative to commercial lithium-ion ***,the harsh preparation conditions and unsatisfactory electrochemical performance of most sodium-ion batteries anode materials limit their commercial ***,we develop a new alloying/dealloying method for producing nano-scale tin from freezing point to room *** to the unique surface properties of tin particles,a tin/carbon composite with a compact structure is *** coupled with a diglyme-based electrolyte,tin/carbon composite(contains 60 wt.%tin)exhibits a reversible capacity of 334.8 mAh·g^(−1)after 1,000 cycles at 500 mA·g^(−1).An as-prepared tin/carbon anode||high-load vanadium phosphate sodium full cell(N/P ratio:1.07)shows a stable cycle life of 300 cycles at 1 A·g^(−1).The achievement of such an excellent performance can be ascribed to the carbon conductive network and robust solid electrolyte interphase film,which facilitates the fast transportation of electrons and Na *** work provides a new idea to prepare other alloyed anode materials for highperformance sodium-ion batteries.

关键词： sodium-ion batteries alloying/dealloying method compact tin/carbon composite