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地球空间信息科学学报（英文版）
地球空间信息科学学报（英文版）

刘经南

季刊

1009-5020

journalw@whu.edu.cn

027-68778045

430079

武汉市珞瑜路129号武汉大学测绘校区

地球空间信息科学学报（英文版）/Journal Geospatial Information ScienceCSCD北大核心SCI
查看更多>>本刊为测绘专业学术期刊，主要刊登测绘及相关专业学术论文。发表论文强调创新性，能够代表中国测绘研究的最高水平。全英文出版。
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    A review of multi-class change detection for satellite remote sensing imagery

    Qiqi ZhuXi GuoZiqi LiDeren Li...
    1-15页
    查看更多>>摘要：Change Detection(CD)provides a research basis for environmental monitoring,urban expan-sion and reconstruction as well as disaster assessment,by identifying the changes of ground objects in different time periods.Traditional CD focused on the Binary Change Detection(BCD),focusing solely on the change and no-change regions.Due to the dynamic progress of earth observation satellite techniques,the spatial resolution of remote sensing images continues to increase,Multi-class Change Detection(MCD)which can reflect more detailed land change has become a hot research direction in the field of CD.Although many scholars have reviewed change detection at present,most of the work still focuses on BCD.This paper focuses on the recent progress in MCD,which includes five major aspects:challenges,datasets,methods,applications and future research direction.Specifically,the background of MCD is first intro-duced.Then,the major difficulties and challenges in MCD are discussed and delineated.The benchmark datasets for MCD are described,and the available open datasets are listed.Moreover,MCD is further divided into three categories and the specific techniques are described,respectively.Subsequently,the common applications of MCD are described.Finally,the relevant literature in the main journals of remote sensing in the past five years are analyzed and the development and future research direction of MCD are discussed.This review will help researchers understand this field and provide a reference for the subsequent development of MCD.Our collections of MCD benchmark datasets are available at:https://zenodo.org/record/6809804#.YsfvxXZByUk.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Assuring the quality of VGI on land use and land cover:experiences and learnings from the LandSense project

    Giles FoodyGavin LongMichael SchultzAna-Maria Olteanu-Raimond...
    16-37页
    查看更多>>摘要：The potential of citizens as a source of geographical information has been recognized for many years.Such activity has grown recently due to the proliferation of inexpensive location aware devices and an ability to share data over the internet.Recently,a series of major projects,often cast as citizen observatories,have helped explore and develop this potential for a wide range of applications.Here,some of the experiences and learnings gained from part of one such project,which aimed to further the role of citizen science within Earth observation and help address environmental challenges,LandSense,are shared.The key focus is on quality assurance of citizen generated data on land use and land cover especially to support analyses of remotely sensed data and products.Particular focus is directed to quality assurance checks on photo-graphic image quality,privacy,polygon overlap,positional accuracy and offset,contributor agreement,and categorical accuracy.The discussion aims to provide good practice advice to aid future studies and help fulfil the full potential of citizens as a source of volunteered geographical information(VGI).
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    The Evolution of urban agglomerations in China and how it deviates from Zipf's law

    Bowen CaiZhenfeng ShaoShenghui FangXiao Huang...
    38-48页
    查看更多>>摘要：Urban Agglomeration(UA)is regarded as an emerging complex urban system in China.The development of UA demands a reasonable scale structure,which can be investigated by Zipf's law.However,few studies have been conducted to quantify the optimal scale of UA and how its development deviates from the optimal scale.With the continuous urban expansion,the problem of UAs'scale structure has received increasing attention.In this study,we propose a method based on Zipf's law for estimating the theoretical optimal scale of UAs in China and assessing the deviation rate from their optimal scales.Twelve typical UAs in China are selected,and their development is assessed via urban impervious surface data from 2000 to 2018.The results show that the average deviation rate of the investigated UAs decreased from 3.40%in 2000 to 2.32%in 2018,demonstrating that these UAs are on a positive evolution trajectory.Furthermore,according to the development stage,we make recommendations on"large cities vs.medium/small-sized cities and promoting vs.restraining"to each UA based on its size.The conceptual and analytical knowledge,as well as the results from this study,are expected to offer valuable insights and new references for regulating and managing UAs'development in China.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Identification of international trade patterns of agricultural products:the evolution of communities and their core countries

    Jiaxin DongSiwei LiLina HuangJing He...
    49-63页
    查看更多>>摘要：As a special branch of global trade,the trade of agricultural products has an important impact on food security and the environment.In this paper,we studied international trade network of agricultural products from 2000 to 2016 as a whole and in part.We explored the overall characteristics of the network,analyzed the evolution of communities and identified core countries of the communities.The results show that the structure of the trade network became increasingly complex and the trade relations became closer over time.There were four major communities in the network,whose primary core countries were Germany,the United States,Brazil,and China.Since 2007,the community represented by China has disappeared,and the community pattern of the network has been in a three-pillar state and basically stable.We discuss the actual roles of certain trading countries,the formation of communities and the impact of economic events on agricultural products trade.This paper reveals the underlying patterns of the agricultural products trade and provides a way to track its evolution over time.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Spatial diffusion processes of Gelugpa monasteries of Tibetan Buddhism in Tibetan areas of China utilizing the multi-level diffusion model

    Zihao ChaoYaolong ZhaoSubin FangDanying Chen...
    64-81页
    查看更多>>摘要：Gelugpa is the most influential extant religious sect of Tibetan Buddhism,which is the spiritual prop for Tibetans,with thousands of monasteries and followers in Tibetan areas of China.Studies on the spatial diffusion processes of Gelugpa can not only reveal its historical geo-graphical development but also lay the foundation for anticipating its future development trend.However,existing studies on Gelugpa lack geographical perspective,making it difficult to explore the spatial characteristics.Furthermore,the prevailing macro-perspective overlooks spatiotemporal heterogeneity in diffusion processes.Therefore,taking monastery as the car-rier,this study establishes a multi-level diffusion model to reconstruct the diffusion networks of Gelugpa monasteries,as well as a framework to explore the detailed features in the spatial diffusion processes of Gelugpa in Tibetan areas of China based on a geodatabase of Gelugpa monastery.The results show that the multi-level diffusion model has a considerable applic-ability in the reconstruction of the diffusion networks of Gelugpa monasteries.Gelugpa monasteries in the Three Tibetan Inhabited Areas present disparate spatial diffusion processes with diverse diffusion bases,speeds,stages,as well as diffusion regions and centers.A powerful single-center diffusion-centered Gandan Monastery was rapidly formed in U-Tsang.Kham experienced a slower and more varied spatial diffusion process with multiple diffusion systems far apart from each other.The spatial diffusion process of Amdo was the most complex,with the highest diffusion intensity.Amdo possessed the most influential diffusion centers,with different diffusion shapes and diffusion ranges crossing and overlapping with each other.Multiple natural and human factors may contribute to the formation of Gelugpa monasteries.This study contributes to the understanding of the geography of Gelugpa and provides reference to studies on religion diffusion.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Low frequency error analysis and calibration for multiple star sensors system of GaoFen7 satellite

    Yanli WangMi WangYing ZhuXiaoxiang Long...
    82-94页
    查看更多>>摘要：The GaoFen7(GF7)optical satellite is the first Chinese civilian sub-meter high-resolution stereo mapping satellite and is equipped with a double linear array camera and laser altimeter to achieve large-scale topographic mapping.To improve the accuracy of attitude determination,an attitude determination system comprised of four star sensors is loaded.According to the measurement accuracy and steady performance,the star sensors 1a and 1b is usually used together for satellite attitude calculation,which is called the conventional mode of attitude determination.Then,the combination of star sensors 2a and 2b is called the unconventional mode of attitude determination.Affected by variations in the incident angle of sunlight and solar radiation,thermal deformation occurs in the body and installation structure of the star sensor,which causes Attitude Low-Frequency Error(ALFE)and seriously influences the con-sistency of attitude determination results of different combination modes for multiple star sensors system.This study proposes an ALFE analysis and calibration approach for the multiple star sensors system of GF7 satellite to ensure the consistency of attitude determination results of different combination modes.Based on the statistical characteristics of the angles of the three axes,the installation parameters of the four star sensors are first calibrated.After analyzing the characteristics of the optical axis angles within 1420 orbit periods over 135 days,the segmented ALFE compensation model between the unconventional and conven-tional modes is proposed based on the Fourier series model and input parameter of latitude.Based on the on-orbit installation parameters and the ALFE model,the precise attitude determination results of the unconventional mode are calculated.Experimental results show that the attitude determination consistency after compensation is better than 2".Moreover,the reliable application time range of the compensation model is 30 days to satisfy the require-ments for high-precision attitude determination of GF7 satellite.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    How do greenspace landscapes affect PM2.5 exposure in Wuhan?Linking spatial-nonstationary,annual varying,and multiscale perspectives

    Qingming ZhanChen YangHuimin Liu
    95-110页
    查看更多>>摘要：As an ambient atmospheric pollutant,fine particulate matter(PM2.5)has posed significant adverse impacts on public health around the world.To attenuate the population exposure risk to PM2.5 pollution,greenspace has been considered as a promising approach.Little is known,however,about the attenuating impacts of greenspace landscapes on PM2.5 exposure risks at various locations,scales,and exposure levels.This study employed hotspot analysis,weighted barycenter,and time-series clustering to investigate the spatiotemporal dynamics of PM2.5 exposure across Wuhan.In addition,the multi-scale geographically weighted regression(MGWR)was used to determine the relationships between greenspace landscape patterns and yearly PM2.5 exposure over four years(2000,2005,2010,and 2015).Results revealed that,between 2000 and 2016,the variations in PM2.5 exposure hotspot coverages within Wuhan showed an inverse U-shape trend.The K-DTW clustering differentiated the study area into seven spatial clusters with homogeneous temporal dynamics.In general,there were three stages of fluctuations in PM2.5 exposure in Wuhan:2000-2005,2006-2011,and 2012-2016.MGWR also disclosed associations between PM2.5 exposure and greenspace landscape para-meters(AI,ED,SI,and PLAND).PLAND of green spaces can mitigate PM2.5 exposure at a broader scale(the average bandwidth was 1391),while AI,ED,and SI are generally associated with PM2.5 exposure reduction on local scales.In Wuhan,we also confirmed such relationships between four landscape metrics with varying levels of exposure risks.The results indicate that the attenuation effectiveness toward PM2.5 exposure risk by greenspace landscapes is not only site-and scale-dependent but also affected by exposure risk levels.The findings of this study can contribute to greenspace planning and management for mitigating PM2.5-attributable adverse health impacts.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    China's poverty assessment and analysis under the framework of the UN SDGs based on multisource remote sensing data

    Mengjie WangYanjun WangFei TengShaochun Li...
    111-131页
    查看更多>>摘要：Poverty has always been a global concern that has restricted human development.The first goal(SDG 1)of the United Nations Sustainable Development Goals(SDGs)is to eliminate all forms of poverty all over the world.The establishment of a scientific and effective localized SDG 1 evaluation and monitoring method is the key to achieving SDG 1.This paper proposes SDG 1 China district and county-level localization evaluation method based on multi-source remote sensing data for the United Nations Sustainable Development Framework.The temporal and spatial distribution characteristics of China's poverty areas and their SDG 1 evaluation values in 2012,2014,2016,and 2018 have been analyzed.Based on the SDGs global indicator framework,this paper first constructed SDG 1 China's district and county localization indicator system and then extracted multidimensional feature factors from nighttime light images,land cover data,and digital elevation model data.Secondly,we establish SDG 1 China's localized partial least squares estimation model and SDG 1 China's localized machine learning estimation model.Finally,we analyze and verify the spatiotemporal distribution characteristics of China's poverty areas and counties and their SDG 1 evaluation values.The results show that SDG 1 China's district and county localization indicator system proposed in this study and SDG 1 China's localized partial least squares estimation model can better reflect the poverty level of China's districts and counties.The estimated model R2 is 0.65,which can identify 72.77%of China's national poverty counties.From 2012 to 2018,the spatial distribution pattern of SDG evaluation values in China's districts and counties is that the SDG evaluation values gradually increase from western China to eastern China.In addition,the average SDG 1 evaluation value of China's districts and counties increased by 23%from 2012 to 2018.This paper is oriented to the United Nations SDGs frame-work,explores the SDG 1 localized evaluation method of China's districts and counties based on multisource remote sensing data,and provides a scientific and rapid regional poverty monitoring and evaluation program for the implementation of the 2030 agenda poverty alleviation goals.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Integration of 3DGIS and BIM and its application in visual detection of concealed facilities

    Xiaoyu WangMingxia Xie
    132-141页
    查看更多>>摘要：The multi-level modeling technology of Building Information Modeling(BIM),combined with Three-dimensional Geographic Information System(3DGIS)macro-scene visualization technol-ogy and location information,can realize the transmission of decentralized information from various disciplines to multi-disciplinary collaborative information sharing services.It can be applied independently for the whole life cycle,which plays a positive role in reducing the cost and improving the efficiency of engineering planning,design,construction,operation,and maintenance.In this paper,the data integration and function integration methods of 3DGIS and BIM are designed.In order to avoid the breaking problems caused by attribute information loss and excessive simplification in the process of BIM data integration,the attribute mapping between 3DGIS and BIM based on Industry Foundation Classes(IFC)and City Geography Markup Language(CityGML)and the data simplification method considering the geometric character-istics of BIM are designed.By setting the relevant preconditions and thresholds of patch merging,on the premise of maintaining the structural characteristics of BIM data surface,reduce the amount of model data to improve the efficiency of BIM data loading,rendering and display effect in 3D geospatial scene.Through the data and function integration of 3DGIS and BIM,we can effectively manage the data of large-scale model,and calculate and obtain the geospatial location and direction of key parts of buildings through the coordinate transformation of BIM,which can effectively assist the rapid and accurate positioning of BIM in virtual 3D scene and expand the visualization ability of 3DGIS.By effectively integrating 3DGIS and BIM,this paper gives full play to the spatial management advantages of 3DGIS and the component management advantages of BIM.The rationality and operability of the method are verified by its application in the operation and maintenance management project of concealed facilities in actual buildings.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Automated extraction and validation of Stone Pine(Pinus pinea L.)trees from UAV-based digital surface models

    Asli Ozdarici-OkAli Ozgun OkMustafa ZeybekAyhan Atesoglu...
    142-162页
    查看更多>>摘要：Stone Pine(Pinus pinea L.)is currently the pine species with the highest commercial value with edible seeds.In this respect,this study introduces a new methodology for extracting Stone Pine trees from Digital Surface Models(DSMs)generated through an Unmanned Aerial Vehicle(UAV)mission.We developed a novel enhanced probability map of local maxima that facilitates the computation of the orientation symmetry by means of new probabilistic local minima information.Four test sites are used to evaluate our automated framework within one of the most important Stone Pine forest areas in Antalya,Turkey.A Hand-held Mobile Laser Scanner(HMLS)was utilized to collect the reference point cloud dataset.Our findings confirm that the proposed methodology,which uses a single DSM as an input,secures overall pixel-based and object-based F1-scores of 88.3%and 97.7%,respectively.The overall median Euclidean distance revealed between the automatically extracted stem locations and the manually extracted ones is computed to be 36 cm(less than 4 pixels),demonstrating the effectiveness and robustness of the proposed methodology.Finally,the comparison with the state-of-the-art reveals that the outcomes of the proposed methodology outperform the results of six previous studies in this context.
      原文链接:
    • NETL
    • NSTL
    • 万方数据