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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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    An investigation of the temporality of OpenStreetMap data contribution activities

    Tessio NovackLeonard VorbeckAlexander Zipf
    259-275页
    查看更多>>摘要：OpenStreetMap(OSM)is a dataset in constant change and this dynamic needs to be better understood.Based on 12-year time series of seven OSM data contribution activities extracted from 20 large cities worldwide,we investigate the temporal dynamic of OSM data production,more specifically,the auto-and cross-correlation,temporal trend,and annual seasonality of these activities.Furthermore,we evaluate and compare nine different temporal regression methods for forecasting such activities in horizons of 1-4 weeks.Several insights could be obtained from our analyses,including that the contribution activities tend to grown linearly in a moderate intra-annual cycle.Also,the performance of the temporal forecasting methods shows that they yield in general more accurate estimations of future contribution activities than a baseline metric,i.e.the arithmetic average of recent previous observations.In particular,the well-known ARIMA and the exponentially weighted moving average methods have shown the best performances.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    How to determine city hierarchies and spatial structure of a megaregion?

    Yanyan GuRun ShiYan ZhuangQingquan Li...
    276-288页
    查看更多>>摘要：Megaregion has emerged as a global urban form,typically based on the polycentric strategy to enhance regional development.How to measure megaregional spatial structure and discrimi-nate different roles of cities has become increasingly important to enrich the knowledge of the formation of a megaregion.Meanwhile,various indices have been used to identify vital nodes in the field of complex network.Which indices,however,are suitable for megaregion analysis remain unsolved.To address this requirement,this study first reviewed the typical indices for identifying vital nodes in the complex network theory,and pointed out that in a weighted city network scenario,weighted degree centrality,hub&authority score,and S-core decomposi-tion(which represent network centrality,connectivity,and structures,respectively)are suitable for analyzing megaregional spatial structures.Then,we explored the city hierarchies and spatial structure in Guangdong Province,China,using the three indices.The hierarchical structure of the weighted city network in Guangdong Province had been identified using S-core decomposition.From the perspective of polycentric structure,Guangzhou and Shenzhen have the strongest node degrees and strength of mobility flows,while the Guangzhou-Dongguan-Shenzhen corridor has been identified via the hub&authority score which is designed to evaluate the connectivity in a weighted network.Moreover,we con-ducted a comparison analysis of three indices.The findings of this study not only enrich the understanding of city hierarchies and the structure of a megaregion,but also highlight that although various indices are available,they should be applied selectively in accordance with the study context.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    A remote sensing assessment index for urban ecological livability and its application

    Junbo YuXinghua LiXiaobin GuanHuanfeng Shen...
    289-310页
    查看更多>>摘要：Remote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in the urban ecological environment at different scales.This study aimed to construct a remote sensing assessment index for urban ecological livability with continuous fine spatiotemporal resolution data from Landsat and MODIS to overcome the dilemma of single image-based,single-factor analysis,due to the limitations of atmospheric conditions or the revisit period of satellite platforms.The proposed Ecological Livability Index(ELI)covers five primary ecological indicators-greenness,temperature,dryness,water-wetness,and atmospheric turbidity-which are geometrically aggregated by non-equal weights based on an entropy method.Considering multisource time-series data of each indicator,the ELI can quickly and comprehensively reflect the characteristics of the Ecological Livability Quality(ELQ)and is also comparable at different time scales.Based on the proposed ELI,the urban ecological livability in the central urban area of Wuhan,China,from 2002 to 2017,in the different seasons was analyzed every 5 years.The ELQ of Wuhan was found to be generally at the medium level(ELI ≈0.6)and showed an initial trend of degradation but then improved.Moreover,the ecological livability in spring and autumn and near rivers and lakes was found to be better,whereas urban expansion has led to the outward ecological degradation of Wuhan,but urban afforestation has enhanced the environment.In general,this paper demonstrates that the ELI has an exemplary embodiment in urban ecological research,which will support urban ecological protection planning and construction.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Assessment of underlying topography and forest height inversion based on TomoSAR methods

    Chuanjun WuXinwei YangYanghai YuStefano Tebaldini...
    311-326页
    查看更多>>摘要：Due to the strong penetrability,long-wavelength synthetic aperture radar(SAR)can provide an opportunity to reconstruct the three-dimensional structure of the penetrable media.SAR tomography(TomoSAR)technology can resynthesize aperture perpendicular to the slant-range direction and then obtain the tomographic profile consisting of power distribution of different heights,providing a powerful technical tool for reconstructing the three-dimensional structure of the penetrable ground objects.As an emerging technol-ogy,it is different from the traditional interferometric SAR(InSAR)technology and has advantages in reconstructing the three-dimensional structure of the illuminated media.Over the past two decades,many TomoSAR methods have been proposed to improve the vertical resolution,aiming to distinguish the locations of different scatters in the unit pixel.In order to cope with the forest mission of European Space Agency(ESA)that is designed to provide P-band SAR measurements to determine the amount of biomass and carbon stored in forests,it is necessary to systematically evaluate the performance of forest height and underlying topography inversion using TomoSAR technology.In this paper,we adopt three typical algorithms,namely,Capon,Multiple Signal Classification(MUSIC),and Compressed Sensing(CS),to evaluate the performance in forest height and underlying topography inversion.The P-band airborne full-polarization(FP)SAR data of Lopè National Park in the AfriSAR campaign implemented by ESA in 2016 is adopted to verify the experiment.Furthermore,we explore the effects of different baseline designs and filter methods on the reconstruction of the tomographic profile.The results show that a better tomographic profile can be obtained by using Hamming window filter and Capon algorithm in uniform baseline distribution and a certain number of acquisitions.Compared with LiDAR results,the root-mean-square error(RMSE)of forest height and underlying topography obtained by Capon algorithm is 2.17 m and 1.58 m,which per-forms the best among the three algorithms.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    The ATL08 as a height reference for the global digital elevation models

    Nahed OsamaZhenfeng ShaoYue MaJianguo Yan...
    327-346页
    查看更多>>摘要：High-quality height reference data are embedded in the accuracy verification processes of most remote sensing terrain applications.The Ice,Cloud,and Land elevation Satellite 2(ICESat-2)/ATL08 terrain product has shown promising results for estimating ground heights,but it has not been fully evaluated.Hence,this study aims to assess and enhance the accuracy of the ATL08 terrain product as a height reference for the newest versions of the Advanced Spaceborne Thermal Emission and Reflection Radiometer(ASTER),the Shuttle Radar Topography Mission(SRTM),and TanDEM-X(TDX)DEMs over vegetated mountainous areas.We used uncertainty-based filtering method for the ATL08 strong and weak beams to enhance their accuracy.Then,the results were evaluated against a reference airborne LiDAR digital terrain model(DTM),by selecting 10,000 points over the entire area and comparing the accuracy of ASTER,SRTM,and TDX DEMs assessed by the LiDAR DTM to the accuracy of the ASTER,SRTM,and TDX DEMs assessed by the ATL08 strong beams,weak beams,and all beams.We also detected the impact of the terrain aspect,slope,and land cover types on the accuracy of the ATL08 terrain elevations and their relationship with height errors and uncertainty.Our findings show the accuracy of the ATL08 strong beams was enhanced by 43.91%;while the weak beams accuracy was enhanced by 74.05%.Furthermore,slope strongly influenced ATL08 height errors and height uncertainty;especially on the weak beams.The errors induced by the slope significantly decreased when the uncertainty levels were reduced to<20 m.The evalua-tions of ASTER,SRTM,and TDX DEMs by ATL08 strong and weak beams are close to those assessed by LiDAR DTM points within 0.6 m for the strong beams.These findings indicate that ATL08 strong beams can be used as a height reference over vegetated mountainous regions.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Sensing the global CRUST1.0 Moho by gravitational curvatures of crustal mass anomalies

    Xiao-Le DengWen-Bin ShenMichael KuhnChristian Hirt...
    347-363页
    查看更多>>摘要：The gravitational curvatures(GC,the third-order derivatives of the gravitational potential)in gravity field modeling are gaining increased interest in geosciences.The crustal effects of the GC and Moho variation sensed by the GC are not fully evaluated for the current study.In this contribution,the effects of the GC induced by topographic and anomalous crustal masses are investigated based on ETOPO1 and CRUST1.0 models using the tesseroids.By adopting the gravitational stripping correction,the residual GC sensed by the CRUST1.0 Moho depths are presented globally to examine whether the GC can sense crustal mass anomalies at the satellite altitude of 260 km.The spatial analysis using the Pearson correlations coefficient(PCC)between the residual GC and the CRUST1.0 Moho depths is performed.Among the 10 residual GC functionals,the PCC value of the residual radial-radial-radial component δTreszzz is largest with 0.31,where this value is highly dependent on the spectral content removed from the EGM2008,e.g.signals assumed to relate to deeper mass anomalies.Numerical experiments show that with the increased order of the derivatives up to third-order,the fineness level of different global Moho sensed crustal mass anomalies increases correspondingly.Taking the Tibetan plateau for example,the values of the δTreszzz can better reveal the detailed features of the Tibetan plateau's Moho depth than these of the lower-order residual radial functionals(i.e.disturbing potential δTres,disturbing radial gravity vector δTresz,and disturbing radial-radial gravity gradient tensor δTreszz),especially for the Qaidam,Sichuan,Tarim,and Turpan basins.Numerical results over the Himalayan region demonstrate that the GC component δTresz has some potential in geophysical inversion.These residual GC functionals would help to get a better knowledge of the internal structures of the Earth and other planetary objects.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Analyzing the violation of drone regulations in three VGI drone portals across the US,the UK,and France

    Ammar MandourahHartwig Hochmair
    364-383页
    查看更多>>摘要：Drone technology opens the door to major changes and opportunities in our society.But this technology,like many others,needs to be administered and regulated to prevent potential harm to the public.Therefore,national and local governments around the world established regulations for operating drones,which bans drone use from specific locations or limits their operation to qualified drone pilots only.This study reviews the types of restrictions on drone use that are specified in federal drone regulations for the US,the UK,and France,and in state regulations for the US.The study also maps restricted areas and assesses compliance with these regulations by analyzing the spatial contribution patterns to three crowd-sourced drone portals,namely SkyPixel,Flickr,and DroneSpot,relative to restricted areas.The analysis is performed both at the national level and at the state/regional level within each of the three countries,where statistical tests are conducted to compare compliance rates between the three drone portals.This study provides new insight into drone users'awareness of and compliance with drone regulations.This can help governments to tailor information cam-paigns for increased awareness of drone regulations among drone users and to determine where increased control and enforcement of drone regulations is necessary.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Spatio-temporal intention learning for recommendation of next point-of-interest

    Hao LiPeng YueShangcheng LiChenxiao Zhang...
    384-397页
    查看更多>>摘要：Next point-of-interest(POI)recommendation has been applied by many internet companies to enhance the user travel experience.Recent research advocates deep-learning methods to model long-term check-in sequences and mine mobility patterns of people to improve recom-mendation performance.Existing approaches model general user preferences based on histor-ical check-ins and can be termed as preference pattern models.The preference pattern is different from the intention pattern,in that it does not emphasize the user mobility pattern of revisiting POIs,which is a common behavior and kind of intention for users.An effective module is needed to predict when and where users will repeat visits.In this paper,we propose a Spatio-Temporal Intention Learning Self-Attention Network(STILSAN)for next POI recommendation.STILSAN employs a preference-intention module to capture the user's long-term preference and recognizes the user's intention to revisit some specific POIs at a specific time.Meanwhile,we design a spatial encoder module as a pretrained model for learning POI spatial feature by simulating the spatial clustering phenomenon and the spatial proximity of the POIs.Experiments are conducted on two real-world check-in datasets.The experimental results demonstrate that all the proposed modules can effectively improve recommendation accuracy and STILSAN yields outstanding improvements over the state-of-the-art models.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Shading aware DSM generation from high resolution multi-view satellite images

    Zhihua HuPengjie TaoXiaoxiang LongHaiyan Wang...
    398-407页
    查看更多>>摘要：In many cases,the Digital Surface Models(DSMs)and Digital Elevation Models(DEMs)are obtained with Light Detection and Ranging(LiDAR)or stereo matching.As an active method,LiDAR is very accurate but expensive,thus often limiting its use in small-scale acquisition.Stereo matching is suitable for large-scale acquisition of terrain information as the increase of satellite stereo sensors.However,underperformance of stereo matching easily occurs in textureless areas.Accordingly,this study proposed a Shading Aware DSM GEneration Method(SADGE)with high resolution multi-view satellite images.Considering the complementarity of stereo matching and Shape from Shading(SfS),SADGE combines the advantage of stereo matching and SfS technique.First,an improved Semi-Global Matching(SGM)technique is used to generate an initial surface expressed by a DSM;then,it is refined by optimizing the objective function which modeled the imaging process with the illumination,surface albedo,and normal object surface.Different from the existing shading-based DEM refinement or generation method,no information about the illumination or the viewing angle is needed while concave/convex ambiguity can be avoided as multi-view images are utilized.Experiments with ZiYuan-3 and GaoFen-7 images show that the proposed method can generate higher accuracy DSM(12.5-56.3%improvement)with sound overall shape and temporarily detailed surface compared with a software solution(SURE)for multi-view stereo.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Volunteered geographic information use in crisis,emergency and disaster management:a scoping review and a web atlas

    Katerina TzavellaAndriani SkopelitiAlexander Fekete
    423-454页
    查看更多>>摘要：Nowadays,an increasing number of crises worldwide,triggered by climate extremes,natural and human-made hazards,the coronavirus pandemic,and more,pose a high pressure on crisis,emergency,and disaster management.Spatial data and Volunteered Geographic Information(VGI)are key issues in the successful and immediate response to crises.This paper aims to explore the use of VGI in crisis management,including emergency and disaster management,based on a scoping review of existing literature in English for five years(2016-2020).Specifically,the research intends to answer Scoping Review Questions(SRQ)regarding the use of VGI in crisis,emergency,and disaster management,and the verified cases'spatial distribution,the VGI sources utilized(e.g.OpenStreetMap-OSM,Crowdsourcing,Twitter),the types of hazards(e.g.natural and human-made hazards,pandemic),the specific tasks in crisis,emergency or disaster management and VGI use in the management of actual crisis events,e.g.COVID-19 pandemic,Hurricane Katrina,etc.Eligible papers on VGI use in crisis,emergency,and disaster management are geolocated based on first-author affiliation,and as a result,a spatial bibliography is provided.Thus,the term Spatial Scoping Review is introduced.Scoping Review Questions are answered,and the results are analyzed and discussed.Finally,implementing the"VGICED Atlas",a web atlas,permits the publication of the research results to a broad audience and the visualization of the analysis with several interactive maps.
      原文链接:
    • NETL
    • NSTL
    • 万方数据