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| 1 | Toward automatic estimation of urban green volume using airborne LiDAR data and high resolution Remote Sensing images显示文摘城市的绿体积是为分析城市的植被结构,生态的评估,和绿经济的评价的重要指示物。这份报纸为城市的绿体积联合的自动化评价建议一个基于目标的方法三维(3D ) 从在空中的轻察觉的信息并且变化(激光雷达) 从高分辨率的数据和植被信息遥远地通过 Lujiazui 区域的案例研究察觉到图象,上海,中国。在空中的在红外线附近的相片被用于识别城市的植被分发的高分辨率。在空中的激光雷达数据提议提取单个树并且测量树的属性的可能性,例如树高度和王冠直径。在这研究,单个树和草地作为城市的植被的独立对象被识别,并且城市的绿卷作为二宽广部分的和被计算:单个树体积和草地体积。方法由后面的步骤组成:产生并且过滤规范的数字表面模型( nDSM ),定位本地最大值点,分割植被,提取基于规范的差别植被索引( NDVI )的城市的植被的 nDSM 单个树王冠和草地反对,并且计算每个植被目标的城市的绿体积。结果在 Lujiazui 区域显示出数量和城市的绿体积的分发特征,并且为城市的绿计划和管理提供珍贵参数。激光雷达数据和图象数据的综合申请介绍一个有效方法估计城市的绿体积,这也从这份报纸被结束[出版摘要] | Yan HUANG Bailang YU Jianhua ZHOU Chunlin HU Wenqi TAN Zhiming HU Jianping WU | 2013 | Frontiers of Earth Science2013，7，1： | 6 |
| 2 | Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method显示文摘With the rapid development of population and urbanization and the progress of lighting technology, the influence of artificial light sources has increased.In this context, the problem of light pollution has attracted wide attention.Previous studies have revealed that light pollution can affect biological living environments, human physical and mental health, astronomical observations and many other aspects.Therefore, organizations internationally have begun to advocate for measures to prevent light pollution, many of which are recognized by the International Dark-Sky Association(IDA).In addition to improving public awareness, legal protections, technical treatments and other means, the construction of Dark Sky Reserves(DSR) has proven to be an effective preventive measure.So far, as a pioneer practice in this field, the IDA has identified 11 DSRs worldwide.Based on the DA requirements for DSRs, this paper utilizes NPP-VIIRS nighttime light data and other multi-source spatial data to analyze possible DSR sites in China.The land of China was divided into more than ten thousand 30 km × 30 km fishnets, and constraint and suitable conditions were designated, respectively, as light and cloud conditions, and scale, traffic and attractiveness conditions.Using a multiple criteria evaluation, 1443 fishnets were finally selected as most suitable sites for the construction of DSRs.Results found that less than 25% of China is not subject to light pollution, and less than 13% is suitable for DSR construction, primarily in western and northern areas, including Tibet, Xinjiang, Qinghai, Gansu and Inner Mongolia. | WEI Ye CHEN Zuoqi XIU Chunliang YU Bailang LIU Hongxing | 2019 | Chinese Geographical Science2019，29，6： | 5 |
| 3 | A multistage collaborative 3D GIS to support public participation显示文摘This paper presents a collaborative 3D GIS to support public participation.Realizing that public-involved decision-making is often a multistage process,the proposed system is designed to provide coherent support for collaborations in the different stages.We differentiate ubiquitous participation and intensive participation and identify their suitable application stages.The proposed system,then,supports both of the two types of participation by providing synchronous and asynchronous collabora-tion functionalities.Applying the concept of Digital Earth,the proposed system also features a virtual globe-based user interface.Such an interface integrates a variety of data,functions,and services into a unified virtual environment which is delivered to both experts and public participants through the Internet.The system has been designed as a general software framework and can be tailored for specific projects.In this study,we demonstrate it using a scene modeling case and provide a preliminary evaluation toward its usability. | Yingjie Hu Zhenhua Lv Jianping Wu Krzysztof Janowicz Xizhi Zhao Bailang Yu | 2015 | International Journal of Digital Earth2015，8，3： | 1 |
| 4 | A geospatial web portal for sharing and analyzing greenhouse gas data derived from satellite remote sensing images显示文摘温室煤气的数据在全世界由不同机构收集了为全球气候变化研究有重要科学价值。由于数据格式的差异和数据存取接口的不同说明,在他们能被使用以前,大多数那些数据应该首先被下载到一台本地机器上。克服这限制,我们在场为分享并且分析温室气体数据的一个 geospatial 门户网站源于遥感图象。作为 proof-of-concept,一个原型也被设计了并且实现。门户网站的工作流包含四个过程:数据存取,数据分析,结果可视化,和结果输出。一个大量温室气体数据在门,和许多数据分析服务被收集了,描述,并且索引,例如计算地区性平均的列 CO2 价值的时间的变化并且分析全球性平均的列 CO2 价值的纬度的变化,集成于这扇门。与综合 geospatial 数据和服务,研究人员们能在网上直接收集并且分析,并且能预览并且下载温室气体数据分析结果。当网应用,和我们也使用了一个学习盒子说明这个框架, geospatial 门户网站被实现了[出版摘要] | Hao LIN Bailang YU Zuoqi CHEN Yingjie HU Yan HUANG Jianping WU Bin WU Rong GE | 2013 | Frontiers of Earth Science2013，7，3： | 0 |
| 5 | A New Method for Building-Level Population Estimation by Integrating LiDAR, Nighttime Light, and POI Data显示文摘Building-level population data are of vital importance in disaster management,homeland security,and public health.Remotely sensed data,especially LiDAR data,which allow measures of three-dimensional morphological information,have been shown to be useful for fine-scale population estimations.However,studies using LiDAR data for population estimation have noted a nonstationary relationship between LiDAR-derived morphological indicators and populations due to the unbalanced characteristic of population distribution.In this article,we proposed a framework to estimate population at the building level by integrating POI data,nighttime light(NTL)data,and LiDAR data.Building objects were first derived using LiDAR data and aerial photographs.Then,three categories of building-level features,including geometric features,nighttime light intensity features,and POI features,were,respectively,extracted from LiDAR data,Luojia1-01 NTL data,and POI data.Finally,a welltrained random forest model was built to estimate the population of each individual building.Huangpu District in Shanghai,China,was chosen to validate the proposed method.A comparison between the estimation result and reference data shows that the proposed method achieved a good accuracy with R^(2)=0:65 at the building level and R^(2)=0:79 at the community level.The NTL radiance intensity was found to have a positive relationship with population in residential areas,while a negative relationship was found in office and commercial areas.Our study has shown that by integrating both the three-dimensional morphological information derived from LiDAR data and the human activity information extracted from POI and NTL data,the accuracy of building-level population estimation can be improved. | Hongxing Chen Bin Wu Bailang Yu Zuoqi Chen Qiusheng Wu Ting Lian Congxiao Wang Qiaoxuan Li Jianping Wu | 2021 | Journal of Remote Sensing2021，，1： | 0 |
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