{"title":"The characteristics of urban heat island variation in Beijing urban area and its impact factors","authors":"Jiahua Zhang, F. Yao","doi":"10.1109/URS.2009.5137502","DOIUrl":"https://doi.org/10.1109/URS.2009.5137502","url":null,"abstract":"The relationships among urban heat island (UHI) distribution and landcover categories, topographic factor, vegetation greenness, and surface evapotranspiration are analyzed in Beijing urban area in 2001. The results show that the significant UHI occurs in Beijing urban area in the four seasons. The land surface temperature (LST) difference is approximately 4–6°C between Beijing city and suburb areas, comparatively is 8–10 °C between Beijing city area and outer suburbs area in northwestern region in summer time. The UHI spatial distribution is corresponding with the urban geometry structure profile. The UHI in nighttime is obvious than that in daytime in Beijing city area. And in the daytime, the significant UHI mainly appears in the summer. The evapotranspiration in suburb area is larger than that in urban area in the summer, and significantly high latent heat exchange leads to LST difference between city and suburb area. The reflection of surface landcover categories is sensitive to the UHI, and the scatterplot shows that there is the negative correlation between NDVI and LST (R2 = 0.6481). It indicates that the vegetation greenness is a key factor for reducing the UHI, and large-scale construction of greenbelt can considerably reduce the UHI effect.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128076774","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}
Qingting Li, Xue Liu, Q. Tong, Bing Zhang, Jun-yong Fang, A. Gong
{"title":"The application of Multi-mode Airborne Digital Camera (MADC) in digital city","authors":"Qingting Li, Xue Liu, Q. Tong, Bing Zhang, Jun-yong Fang, A. Gong","doi":"10.1109/URS.2009.5137626","DOIUrl":"https://doi.org/10.1109/URS.2009.5137626","url":null,"abstract":"The image acquisition and processing of Multimode Airborne Digital Camera (MADC) and its application in the digital city are introduced in this paper, which include urban landscape visualization, land cover survey, building identification, road investigation, city planning monitoring etc . The town of Shilongzhen, a part of Dongguan city in Guangdong province located in the south of China was taken as an example for the application and analysis. The workflow was proposed for image processing and information extraction using MADC image data. The demand and trend of the application of remote sensing in digital city was discussed too.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128102661","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}
A. Grote, C. Heipke, F. Rottensteiner, Hannes Meyer
{"title":"Road extraction in suburban areas by region-based road subgraph extraction and evaluation","authors":"A. Grote, C. Heipke, F. Rottensteiner, Hannes Meyer","doi":"10.1109/URS.2009.5137676","DOIUrl":"https://doi.org/10.1109/URS.2009.5137676","url":null,"abstract":"In this paper, a road extraction approach for suburban areas from high resolution CIR images is presented. The approach is region-based: the image is first segmented using the normalized cuts algorithm, then the initial segments are grouped to form segments, and road parts are extracted from these segments. Ideally roads in the image correspond to only one extracted road part, but they are often covered by several road parts with gaps between them. In order to combine these road parts, neighbouring road parts are connected to a road subgraph if there is evidence that they belong to the same road, such as similar direction and smooth continuation. This process allows several branches in the subgraph which is why another step follows to evaluate the subgraphs and divide them at gaps which show weak connections. The subgraph evaluation step is the focus of this paper. Linear programming is used for the subgraph evaluation after gap weights are determined. Two ways of determining gap weights are discussed, one using criteria which describe the properties of the road parts and their interrelations, and one using context objects (vehicles, trees, vegetation) in the gaps. The determination of the gap weights and the division of the road subgraphs is shown with an example.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121493749","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}
{"title":"Geopositioning of ADS40 three line images for large scale mapping","authors":"Liu Jun, Wang Honghong, F. Yonghong, Wang Hui","doi":"10.1109/URS.2009.5137518","DOIUrl":"https://doi.org/10.1109/URS.2009.5137518","url":null,"abstract":"Airborne three line sensors now play more and more important role in large scale mapping, earth resource exploration, cyber city and other GIS applications. It can provide three stereo models for photogrammetric reconstitution. During the image acquisition, the equipped GPS/IMU system records the position and attitude data simultaneously and provides airborne sensors the capability of direct geopositioning. Currently GPS/IMU supported triangulation is still necessary for large scale mapping because of its limited accuracy, but because of the weak image geometry of three line sensor the adjustment is more complicated than that of the frame camera. This paper gives a comprehensive study on the triangulation of the imagery of airborne digital sensor ADS40. Linear polynomial, piecewise polynomial and orientation image three trajectory models are introduced. Considering that the object coordinate systems of ADS40 imagery are changing against strips, an algorithm to unify strip-wise exterior orientation (EO) parameters has been derived. Strip and block adjustment experiments are carried out. With no more than four control points the obtained position accuracy is better than 1.1 pixels on both horizontal and height directions.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646705","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}
{"title":"Geometric processing of QuickBird stereo imagery with high building data in megapolis","authors":"Wang Weian, Qiao-Ji Gang","doi":"10.1109/URS.2009.5137728","DOIUrl":"https://doi.org/10.1109/URS.2009.5137728","url":null,"abstract":"Much research work has been done concerning the geometric accuracy for High-Resolution Satellite Imagery (HRSI), the conclusion regarding this respect in photogrammetric society is that Ground Control Points (GCPs) are necessary for the accurate geo-positioning to get meter or sub-meter positioning accuracy. But most existing publications are about the horizontal positioning determination rather than vertical direction. This paper aims to evaluate the geo-positioning capability in vertical direction for HRSI and analyze the influence of GCPs vertical distribution to that of the final vertical accuracy. The study is performed in Shanghai, China, the typical metropolis, using a pair of across-track QuickBird stereo imagery, within a relatively small but representative area filled with very high buildings to provide height difference for GCPs and Independent Check Points (ICPs). A new accuracy evaluation scheme in vertical direction is put forward and employed in the assessment. Processed with the Rational Function Model (RFM) and its accuracy improvement models in image space, some relations are found between the GCPs height and obtainable ICPs vertical accuracy in different height ranges, discussions and conclusions are presented in the end.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121997754","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}
{"title":"Object-oriented change detection method based on multi-scale and multi-feature fusion","authors":"Wen-jie Wang, Zhongming Zhao, Hai-qing Zhu","doi":"10.1109/URS.2009.5137540","DOIUrl":"https://doi.org/10.1109/URS.2009.5137540","url":null,"abstract":"High resolution satellite images offer abundance information of the earth surface for remote sensing applications. Using change detection technology to extract the target area changes from high resolution remote sensing images and rapidly update map database has become a focus research of remote sensing information processing. However the traditional methods of change detection are not suitable for high resolution remote sensing images. To overcome the limitations of traditional pixel-level change detection methods and the difficulties of change detection of high resolution remote sensing images, based on object-oriented analysis method, this paper presents a novel way of multi-scale and multi-feature fusion for high resolution remote sensing images change detection. Experiments show that this method has a stronger advantage than the traditional pixel-level method of high resolution remote sensing image change detection.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131281503","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}
{"title":"Multi-scale uncertainty evaluation of remote sensing image classification","authors":"Quanhua Zhao, Weidong Song, Y. Bao","doi":"10.1109/URS.2009.5137672","DOIUrl":"https://doi.org/10.1109/URS.2009.5137672","url":null,"abstract":"Remote Sensing (RS) image classification is one of the most important ways to extract thematic information, which used broadly in many fields. More and more attention has been drawn on the data quality recently. It is crucial to assess uncertainty of RS image classification, but the methods used so far for this task cannot provide information fully and completely. Based on information theory and rough set theory, the paper proposed a multi-scale evaluation (MSE) method, which is based on pixel scale, feature type scale and whole image scale, to realize the uncertainty evaluation of classification. The result of TM RS image classification was experimented on its accuracy of evaluation. At the same time, the static visualization of multi-scale evaluation for three classified images was carried out. Test result shows that the uncertainty evaluation by the multi-scale method is convenient for users to understand the uncertainty of classified image on pixel scale, different feature type scale and whole image scale, and it is also useful for the application of classified image.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125497444","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}
{"title":"A detailed comparison between two fast approaches to urban extent extraction in VHR SAR images","authors":"P. Gamba, M. Aldrighi, M. Stasolla, E. Sirtori","doi":"10.1109/URS.2009.5137592","DOIUrl":"https://doi.org/10.1109/URS.2009.5137592","url":null,"abstract":"This work is devoted to he comparison of two algorithms for human settlement map extraction from VHR SAR data. The two approaches have been recently proposed in literature, but extensive comparison of their performance in different situation and in different areas of the world was not available yet.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792359","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}
T. Ghosh, P. Sutton, R. Powell, S. Anderson, C. Elvidge
{"title":"Estimation of Mexico's informal economy using DMSP nighttime lights data","authors":"T. Ghosh, P. Sutton, R. Powell, S. Anderson, C. Elvidge","doi":"10.1109/URS.2009.5137751","DOIUrl":"https://doi.org/10.1109/URS.2009.5137751","url":null,"abstract":"In many countries of the world governments are unable to accurately track the true magnitude of economic activity due to the large number of transactions upon which taxes are not paid. It is particularly easy to avoid paying taxes on cash transactions and on remittances transferred from outside of the country. In some cases the so called “informal economy” is believed to be a substantial fraction of a nation's total gross domestic product (GDP). Using DMSP satellite observed nighttime lights we developed a calibration for estimating reported GDP for the 48 contiguous states of the USA, where the informal economy is rated as relatively low. We applied this calibration to estimate the GDP for the states of Mexico and compared these values to officially reported GDP and Gross National Income (GNI) values. We found that most states in Mexico have a surplus in lighting relative to their officially reported GDP. We attribute this surplus in lighting to the informal economy and have made estimates of the magnitude of this unreported component to the true GDP. The results are encouraging and suggest that this technique could be used in other countries where accurate GDP reporting is problematic.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130577976","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}
{"title":"Urban information extraction for remote sensing images considering the human cognitive characteristics: - a case study of central urban area of Guangzhou","authors":"Hongsheng Zhang, Yan Li","doi":"10.1109/URS.2009.5137566","DOIUrl":"https://doi.org/10.1109/URS.2009.5137566","url":null,"abstract":"Remote sensing images are playing an increasing important role in the research of urban ecological environment, especially the extraction of the urban information. However, previous approaches towards processing the remotely sensed images required a lot of manual work. To try to promote the auto-processing of RS images, this paper proposed a novel approach based on the shape adaptive neighborhood (SAN) for RS images, considering the characteristics of cognitive psychology. Firstly, like the mechanism of attention in the psychological process, the heterogeneity based on the color characteristics was employed to determine the SAN of each pixel. Then all the color features, texture features and shape features were extracted from each SAN, and were implemented a feature level data fusion in the classified feature space of the RS image. Finally, the features were used to extract the information. As a study case, a central area of Guangzhou city was selected to test the accuracy of the SAN-based information extracting approach. The area was classified by five types of land use type, and the proportion of each type of land was calculated. A sampling schema based on the cluster sampling method was used to do the assessment of the accuracy. Experiment results showed that, the total precision of the classification was 0.96873.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121125107","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}