2015 Joint Urban Remote Sensing Event (JURSE)最新文献_第9页

Change in our MIDST: Toward detection and analysis of urban land dynamics in North and South America 我们中间的变化:对北美和南美城市土地动态的探测和分析

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120496

G. Henebry, Xiaoyang Zhang, J. Kimball, K. Beurs, C. Small

引用次数: 1

Diurnal analysis of surface Urban Heat Island using spatially enhanced satellite derived LST data 利用空间增强卫星LST数据的城市地表热岛日分析

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120498

P. Sismanidis, I. Keramitsoglou, C. Kiranoudis

{"title":"Diurnal analysis of surface Urban Heat Island using spatially enhanced satellite derived LST data","authors":"P. Sismanidis, I. Keramitsoglou, C. Kiranoudis","doi":"10.1109/JURSE.2015.7120498","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120498","url":null,"abstract":"The importance of studying the Urban Heat Island (UHI) phenomenon has increased over the years due to the processes of urbanization and industrialization. Thermal remote sensing imagery has been extensively utilized for surface UHI (SUHI) studies. However, the low image acquisition frequency of most sensors limits its use. The Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, of the National Observatory of Athens (NOA/IAASASRS) has developed a system that produces land surface temperature (LST) time series by downscaling data retrieved from MSGSEVIRI (Meteosat Second Generation - Spinning Enhanced Visible and Infrared Imager) geostationary satellite. The system has been designed specifically to facilitate urban climate studies, by producing LST datasets that combine high spatial and temporal resolution. Moreover, the large number of LST image data produced, enables their utilization to a number of different applications. In this work, LST data from the NOA/IAASARS system have been employed for the study of the diurnal evolution of the SUHI phenomenon for Athens (GR), Istanbul (TR) and Rome (IT). The results obtained refer to the summer of 2014 and highlight the intensity and temporal variation of this phenomenon for each city employed in this study.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122150787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Identification of urbanization in Ghana based on a discrete approach to analyzing dense Landsat image stacks 基于离散方法分析密集陆地卫星图像堆栈的加纳城市化识别

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120495

D. Stow, Hsiao-chien Shih, L. Coulter

引用次数: 1

Mapping tree cover in European cities: Comparison of classification algorithms for an operational production framework 绘制欧洲城市的树木覆盖:用于操作生产框架的分类算法的比较

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120511

Antoine Lefebvre, P.-A. Picand, C. Sannier

引用次数: 7

Spatial validation of an urban energy balance model using multi-temporal remotely sensed surface temperature 基于多时相遥感地表温度的城市能量平衡模型空间验证

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120500

P. J. Alexander, R. Fealy, G. Mills

引用次数: 3

A fuzzy fusion approach for improved urban area detection in multi-resolution SAR data 基于模糊融合的多分辨率SAR数据改进城区检测方法

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120516

Andreas Salentinig, P. Gamba

引用次数: 4

Mapping slums using spatial features in Accra, Ghana 利用空间特征绘制加纳阿克拉贫民窟地图

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120494

R. Engstrom, Avery Sandborn, Q. Yu, Jason Burgdorfer, D. Stow, J. Weeks, J. Graesser

{"title":"Mapping slums using spatial features in Accra, Ghana","authors":"R. Engstrom, Avery Sandborn, Q. Yu, Jason Burgdorfer, D. Stow, J. Weeks, J. Graesser","doi":"10.1109/JURSE.2015.7120494","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120494","url":null,"abstract":"In order to map the spatial extent and location of slum settlements multiple methodologies have been devised including remote sensing based methods and field based methods using surveys and census data. In this study we utilize spatial, structural, and contextual features (e.g., PanTex, Histogram of Oriented Gradients, Line Support Regions, Hough transforms and others) calculated at multiple spatial scales from high spatial resolution satellite data to map slum areas and compare these estimates to three field based slum maps: one from the UN Habitat/Accra Metropolitan Assembly (UNAMA) and two census data derived maps based on the UN Habitat definition of a slum, a simple slum/non-slum dichotomy map, and a slum index map. When comparing the remotely sensed derived slum areas to the UNAMA slum definition results indicate an overall accuracy of 94.3% and a Kappa of 0.91. When compared to the dichotomous, census derived slum maps the results are not as accurate. This reduced accuracy is due to the substantial over prediction of slums, especially if only one criterion was missing, using the census data. In relation to the slum index, the remote sensing estimates of slums were significantly correlated with an r2 of 0.45 and when population density was taken into account, the correlation increased to an r2 of 0.78. Overall, the remote sensing methodology provides a reasonable estimate of slum areas and variations within the city.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 37

A fast screening method for detecting cars in UAV images over urban areas 城市上空无人机图像中车辆检测的快速筛选方法

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120472

Thomas Moranduzzo, Abdallah Zeggada, F. Melgani

引用次数: 1

Urban areas enhancement in multitemporal SAR RGB images through a feedback system 基于反馈系统的多时相SAR RGB图像的城市区域增强

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120527

Donato Amitrano, G. D. Martino, A. Iodice, D. Riccio, G. Ruello

引用次数: 4

Mitigation of thermal expansion phase in persistent scatterer interferometry in an urban environment 城市环境中持续散射干涉测量中热膨胀阶段的减缓

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2014-12-19 DOI: 10.1109/JURSE.2015.7120505

U. Wegmüller, C. Werner

引用次数: 9