Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557056
Yin Xu, Y. Tao
It is of great practical significance to study the spatial distribution pattern of customer attractiveness of high-end hotels in Beijing. This paper firstly employed Analytic Hierarchy Process (AHP) to construct the evaluation system of customer attractiveness in central Beijing, then the kernel density analysis tool (KDE) was adopted to make spatial agglomeration analysis of the customer attractiveness of high-end hotels in central Beijing. The following findings were obtained: a) the overall scores of high-end hotels in central Beijing are at a high level, but an obvious score polarization between the hotels and large difference between the highest and lowest scores were observed. The three first-level indicators of traffic location, service facilities and customer satisfaction make great contributions to the customer attractiveness ranking of high-end hotels, but the impact of hotel price and reviews popularity is not obvious. b) The attractiveness of high-end hotels in central Beijing shows a spatial distribution pattern of “one core with many hearts and decreasing circle layers”. In terms of the number of high-end hotels in different administrative districts, Dongcheng District has the largest number of high-end hotels, followed by Haidian District, Xicheng District, Fengtai District and Shijingshan District. Four levels of hotel with attractiveness from high to low spread from the city center to the edge. The research findings are expected to provide useful suggestions for hotel managers and government tourism agencies.
{"title":"Spatial Distribution Pattern of High-End Hotels Based on Multi-Source Data — A Case Study of Central Beijing City","authors":"Yin Xu, Y. Tao","doi":"10.1109/GEOINFORMATICS.2018.8557056","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557056","url":null,"abstract":"It is of great practical significance to study the spatial distribution pattern of customer attractiveness of high-end hotels in Beijing. This paper firstly employed Analytic Hierarchy Process (AHP) to construct the evaluation system of customer attractiveness in central Beijing, then the kernel density analysis tool (KDE) was adopted to make spatial agglomeration analysis of the customer attractiveness of high-end hotels in central Beijing. The following findings were obtained: a) the overall scores of high-end hotels in central Beijing are at a high level, but an obvious score polarization between the hotels and large difference between the highest and lowest scores were observed. The three first-level indicators of traffic location, service facilities and customer satisfaction make great contributions to the customer attractiveness ranking of high-end hotels, but the impact of hotel price and reviews popularity is not obvious. b) The attractiveness of high-end hotels in central Beijing shows a spatial distribution pattern of “one core with many hearts and decreasing circle layers”. In terms of the number of high-end hotels in different administrative districts, Dongcheng District has the largest number of high-end hotels, followed by Haidian District, Xicheng District, Fengtai District and Shijingshan District. Four levels of hotel with attractiveness from high to low spread from the city center to the edge. The research findings are expected to provide useful suggestions for hotel managers and government tourism agencies.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128447409","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557113
Lin Liu, L. Tang
Much of texts embedded in Web is annotated with human interpretable labels, such as tags on web pages and subject. Statistic topic model for multi-label classification is a power technology to handle the multi-labeled textual data at the word level. However, standard topic model is a completely unsupervised algorithm. Therefore, the key of incorporating supervised label set into its topic modeling procedure is to establish the relationship between topics and labels. In this paper, multi-label topic model is summarized by analysis of existing studies; especially, on the basis of relationship between topics and labels, we describe four categories of multi-label topic model, and their reprehensive models. To the best of our knowledge, this is the first effort to review the development of multi-label topic models.
{"title":"A Survey of Statistical Topic Model for Multi-Label Classification","authors":"Lin Liu, L. Tang","doi":"10.1109/GEOINFORMATICS.2018.8557113","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557113","url":null,"abstract":"Much of texts embedded in Web is annotated with human interpretable labels, such as tags on web pages and subject. Statistic topic model for multi-label classification is a power technology to handle the multi-labeled textual data at the word level. However, standard topic model is a completely unsupervised algorithm. Therefore, the key of incorporating supervised label set into its topic modeling procedure is to establish the relationship between topics and labels. In this paper, multi-label topic model is summarized by analysis of existing studies; especially, on the basis of relationship between topics and labels, we describe four categories of multi-label topic model, and their reprehensive models. To the best of our knowledge, this is the first effort to review the development of multi-label topic models.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123957903","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557068
W. Somchai, Da Wen
In order to realize the data encryption of enterprise information platform, the principle of Encryption and Decryption of Base64 algorithm is expatiated and explained in detail. Through the combination of graphic narrative, so that readers can through examples of applications, quick grasp of Base64 algorithm encryption and decryption work and storage principle. At the same time combined with the actual software development process, the use of the principle of Base64 algorithm PHP to achieve the enterprise information stored in the process of data encryption and decryption function.
{"title":"Research on Base64 Encoding Algorithm and PHP Implementation","authors":"W. Somchai, Da Wen","doi":"10.1109/GEOINFORMATICS.2018.8557068","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557068","url":null,"abstract":"In order to realize the data encryption of enterprise information platform, the principle of Encryption and Decryption of Base64 algorithm is expatiated and explained in detail. Through the combination of graphic narrative, so that readers can through examples of applications, quick grasp of Base64 algorithm encryption and decryption work and storage principle. At the same time combined with the actual software development process, the use of the principle of Base64 algorithm PHP to achieve the enterprise information stored in the process of data encryption and decryption function.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121943327","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557107
Xuan Sun
A digital city is the basis of the Smart city. With the deepening exploration of smart applications, traditional geometric models become hard to satisfy the needs of precise space description in urban planning and management. How to add meanings to the spatial data and construct semantic models of cities has been one of questions of Geo-informatics nowadays. In this paper, we propose an automatic approach to achieve semantic annotation of 3D architecture models, which are the main components of cityscapes in the virtual environment. On one hand, all the concave and convex features on the surfaces are extracted as the clues to decompose the architecture models into different structural parts in geometry; On the other hand, the positions, shapes, sizes, and configurations of the extracted structural parts are analyzed to decide the semantic category that each of them belongs to. To verify the effectiveness of the approach, experiments have been carried out on a number of architecture models, and the semantic cognition capability of the approach is demonstrated.
{"title":"Semantic Annotation of 3D Architecture Models Based on the Geometric Structure Characteristics","authors":"Xuan Sun","doi":"10.1109/GEOINFORMATICS.2018.8557107","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557107","url":null,"abstract":"A digital city is the basis of the Smart city. With the deepening exploration of smart applications, traditional geometric models become hard to satisfy the needs of precise space description in urban planning and management. How to add meanings to the spatial data and construct semantic models of cities has been one of questions of Geo-informatics nowadays. In this paper, we propose an automatic approach to achieve semantic annotation of 3D architecture models, which are the main components of cityscapes in the virtual environment. On one hand, all the concave and convex features on the surfaces are extracted as the clues to decompose the architecture models into different structural parts in geometry; On the other hand, the positions, shapes, sizes, and configurations of the extracted structural parts are analyzed to decide the semantic category that each of them belongs to. To verify the effectiveness of the approach, experiments have been carried out on a number of architecture models, and the semantic cognition capability of the approach is demonstrated.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893825","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557100
Jun Yu Li, Qingqi Li, Yan Zhu, Yan Ma, Ya’nan Zhou
In view of the difficulties in obtaining nationwide coach schedules, we propose a method of automatically extracting schedule information from massive trajectory data of coaches. We used the Density-Based Spatial Clustering of Applications with Noise algorithm to identify locations of coach stations from the long time-series of historical trajectories, use the application programming interface of online maps to extract station names, and finally extract coach schedules based on multiple trajectories. Experimental results in the Jing-Jin-Ji area validate the effectiveness and accuracy of the proposed method. This method can be used to obtain nationwide coach schedule information in a fast and low cost way.
{"title":"Extracting Coach Schedule Information from Massive Trajectory Data","authors":"Jun Yu Li, Qingqi Li, Yan Zhu, Yan Ma, Ya’nan Zhou","doi":"10.1109/GEOINFORMATICS.2018.8557100","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557100","url":null,"abstract":"In view of the difficulties in obtaining nationwide coach schedules, we propose a method of automatically extracting schedule information from massive trajectory data of coaches. We used the Density-Based Spatial Clustering of Applications with Noise algorithm to identify locations of coach stations from the long time-series of historical trajectories, use the application programming interface of online maps to extract station names, and finally extract coach schedules based on multiple trajectories. Experimental results in the Jing-Jin-Ji area validate the effectiveness and accuracy of the proposed method. This method can be used to obtain nationwide coach schedule information in a fast and low cost way.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131532144","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557198
M. Teng, Kun Yang, Yan Shi, Yi Luo
Air haze pollution has a serious impact on human health, ecological environment and climate change. In recent years, with the introduction of new national policies and people's increasing awareness of environmental protection, haze has received widespread social attention. Haze pollution in China has always been a prominent environmental problem. The main reason for the frequent occurrence of haze pollution is PM2.5, which not only occurs in cities with high degree of industrialization or urbanization, but also often appear in regions with good air quality. This paper selects eight main cities in Yunnan Province as the research area, and uses the measured PM2.5 data from eight main cities in January 2015 to February 2018 in Yunnan Province as the basic data, using the eight urban meteorological data as the basic data, using the MK trend test and Correlation coefficient method to carry out research on the spatial-temporal variation and correlation of PM2.5 in the last three years in Yunnan Province. The space-time analysis shows that the average annual PM2.5 concentration in Lijiang City is the lowest, the monthly average concentration in Baoshan City is the highest, and the daily average concentration in Puer City is in a gentle trend; Except for Lijiang, the other seven cities all experienced different levels of pollution from March 17 to March 26, 2015; The concentration of PM2.5 in each city showed a seasonal pattern of “U” and a pulse-like diurnal variation pattern in winter and spring, summer and autumn; cities with higher annual average concentrations in the province are concentrated in the northeast and southwest. Correlation analysis showed that PM2.5 concentration was significantly negatively correlated with precipitation and wind speed, and negatively correlated with daily average humidity and temperature.
{"title":"Study on the Temporal and Spatial Variation of PM2.5 in Eight Main Cities of Yunnan Province","authors":"M. Teng, Kun Yang, Yan Shi, Yi Luo","doi":"10.1109/GEOINFORMATICS.2018.8557198","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557198","url":null,"abstract":"Air haze pollution has a serious impact on human health, ecological environment and climate change. In recent years, with the introduction of new national policies and people's increasing awareness of environmental protection, haze has received widespread social attention. Haze pollution in China has always been a prominent environmental problem. The main reason for the frequent occurrence of haze pollution is PM2.5, which not only occurs in cities with high degree of industrialization or urbanization, but also often appear in regions with good air quality. This paper selects eight main cities in Yunnan Province as the research area, and uses the measured PM2.5 data from eight main cities in January 2015 to February 2018 in Yunnan Province as the basic data, using the eight urban meteorological data as the basic data, using the MK trend test and Correlation coefficient method to carry out research on the spatial-temporal variation and correlation of PM2.5 in the last three years in Yunnan Province. The space-time analysis shows that the average annual PM2.5 concentration in Lijiang City is the lowest, the monthly average concentration in Baoshan City is the highest, and the daily average concentration in Puer City is in a gentle trend; Except for Lijiang, the other seven cities all experienced different levels of pollution from March 17 to March 26, 2015; The concentration of PM2.5 in each city showed a seasonal pattern of “U” and a pulse-like diurnal variation pattern in winter and spring, summer and autumn; cities with higher annual average concentrations in the province are concentrated in the northeast and southwest. Correlation analysis showed that PM2.5 concentration was significantly negatively correlated with precipitation and wind speed, and negatively correlated with daily average humidity and temperature.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131144549","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557097
Kai Chen, Zaiqing Chen, Yonghang Tai, Jun Peng, Junsheng Shi, Chenqi Xia
Based on medical image data, VR technology can create a visualized three-dimensional environment of human organs in accordance with human operating habits, so that doctors can accurately determine spatial location, size, geometry, and spatial relationship with the surrounding tissue structure. This new approach will overcome the uncertainties in traditional medical visualization methods, and let doctors easily make preoperative planning and virtual surgery. This paper designed and implemented a VR visualization system for medical images, and allowing doctors to conduct disease analysis, surgical training or surgical education in a virtual environment. In particular, patients can also use virtual reality devices to communicate their illnesses with doctors, and to ease the contradiction between doctors and patients. The entire system has been basically implemented and trial run. We suggest it might has certain value for the specific application of virtual reality technology in precision medicine.
{"title":"A System Design for Virtual Reality Visualization of Medical Image","authors":"Kai Chen, Zaiqing Chen, Yonghang Tai, Jun Peng, Junsheng Shi, Chenqi Xia","doi":"10.1109/GEOINFORMATICS.2018.8557097","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557097","url":null,"abstract":"Based on medical image data, VR technology can create a visualized three-dimensional environment of human organs in accordance with human operating habits, so that doctors can accurately determine spatial location, size, geometry, and spatial relationship with the surrounding tissue structure. This new approach will overcome the uncertainties in traditional medical visualization methods, and let doctors easily make preoperative planning and virtual surgery. This paper designed and implemented a VR visualization system for medical images, and allowing doctors to conduct disease analysis, surgical training or surgical education in a virtual environment. In particular, patients can also use virtual reality devices to communicate their illnesses with doctors, and to ease the contradiction between doctors and patients. The entire system has been basically implemented and trial run. We suggest it might has certain value for the specific application of virtual reality technology in precision medicine.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133828592","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557094
Wenze Luo, Ye Wu, Luo Chen, N. Jing
With the development of the Internet and the enhanced rendering ability of browser end, electronic map based on the Internet, which is called web map, has been visited and plotted by more and more users. Normally, the representation of the plotting results such as the markers and curves are changed with the map level, and the traditional method is to take a strategy to select the composition points. In this paper, instead, an adaptive sampling method of plotting curves which preserves the characteristic points is proposed and a relationship between map level and the number of sampling points is established based on the Radical Law in cartography. Experiments are conducted to compare the proposed sampling method with others to validate the simplicity and accuracy. The result indicates that the proposed method can realize the sampling of plotting curves on the web map at different levels in terms of simplicity and accuracy for the multi-level representation.
{"title":"Sampling-Based Multi-Level Representation of Plotting Curves on Web Map","authors":"Wenze Luo, Ye Wu, Luo Chen, N. Jing","doi":"10.1109/GEOINFORMATICS.2018.8557094","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557094","url":null,"abstract":"With the development of the Internet and the enhanced rendering ability of browser end, electronic map based on the Internet, which is called web map, has been visited and plotted by more and more users. Normally, the representation of the plotting results such as the markers and curves are changed with the map level, and the traditional method is to take a strategy to select the composition points. In this paper, instead, an adaptive sampling method of plotting curves which preserves the characteristic points is proposed and a relationship between map level and the number of sampling points is established based on the Radical Law in cartography. Experiments are conducted to compare the proposed sampling method with others to validate the simplicity and accuracy. The result indicates that the proposed method can realize the sampling of plotting curves on the web map at different levels in terms of simplicity and accuracy for the multi-level representation.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115231818","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557169
Shangshu Qian, Zhi-he Zhou, Shuyue Lai
In this paper, we made an attempt to generate the middle frame by analyzing an existing video. While the blurry intermediate frames generated by current methods, which are widely used, are not quite satisfying, our method combines the advantages of estimating optical flow and hallucinating the RGB value directly, which is able to generate sharp and realistic frames. Apart from that, it is unsupervised, and SSIM is applied as loss function to better our outcome. Eventually, our method was tested on the UCF-101 and THUMOS-15 dataset. It turned out that the above-mentioned approach produces high-quality and visually acceptable results, which outperforms other competing methods.
{"title":"Frame Interpolation Using Deep Pyramid Flow","authors":"Shangshu Qian, Zhi-he Zhou, Shuyue Lai","doi":"10.1109/GEOINFORMATICS.2018.8557169","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557169","url":null,"abstract":"In this paper, we made an attempt to generate the middle frame by analyzing an existing video. While the blurry intermediate frames generated by current methods, which are widely used, are not quite satisfying, our method combines the advantages of estimating optical flow and hallucinating the RGB value directly, which is able to generate sharp and realistic frames. Apart from that, it is unsupervised, and SSIM is applied as loss function to better our outcome. Eventually, our method was tested on the UCF-101 and THUMOS-15 dataset. It turned out that the above-mentioned approach produces high-quality and visually acceptable results, which outperforms other competing methods.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124158414","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557165
F. Zou, Shuanggen Jin
The Greenland ice sheet, the second largest glacier in the world after the Antarctic ice sheet, is losing its mass significantly since the 21st century. Although Ice, Cloud, and land Elevation Satellite (ICESat) has been successfully applied to detect changes in the elevation of the Greenland ice sheet since its launch in 2003, there are larger uncertainty to retrieve the glacier height in the altimetry data processing. In this paper, we use repeat-tracks method with slope correction to re-process ICESat data from 2003–2008 and estimate the mass changes of Greenland ice sheet. The elevation change results varies from about −2 m/yr up to 1.5 m/yr. The well-pronounced height decrease are clearly visible in the catchment area of J akobshavn Isbrae glacier (north-western), the Helheim and Kangerdlugssuaq glaciers (south-eastern), where the elevation change rate reaches a remarkable amount of more than −2 m/yr. The elevation change rate is around zero in the northern area of the Greenland ice sheet. The elevation change rates in most of the inland arears are slightly positive with about 0.02m/yr, indicating that there are small amount of ice mass accumulation. The volume change rate of the whole Greenland ice sheet is −237.65km3/yr by the repeat-track plane fitting method from the ICESat elevation measurements. The volume change rate of the whole Greenland ice sheet is −198.54km3/r by the repeat-track with slope correction, which has a good agreement with GRACE measurements.
{"title":"Re-Estimation of the Greenland Ice Sheet Changes from ICESat Measurements with Slope Correction","authors":"F. Zou, Shuanggen Jin","doi":"10.1109/GEOINFORMATICS.2018.8557165","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557165","url":null,"abstract":"The Greenland ice sheet, the second largest glacier in the world after the Antarctic ice sheet, is losing its mass significantly since the 21st century. Although Ice, Cloud, and land Elevation Satellite (ICESat) has been successfully applied to detect changes in the elevation of the Greenland ice sheet since its launch in 2003, there are larger uncertainty to retrieve the glacier height in the altimetry data processing. In this paper, we use repeat-tracks method with slope correction to re-process ICESat data from 2003–2008 and estimate the mass changes of Greenland ice sheet. The elevation change results varies from about −2 m/yr up to 1.5 m/yr. The well-pronounced height decrease are clearly visible in the catchment area of J akobshavn Isbrae glacier (north-western), the Helheim and Kangerdlugssuaq glaciers (south-eastern), where the elevation change rate reaches a remarkable amount of more than −2 m/yr. The elevation change rate is around zero in the northern area of the Greenland ice sheet. The elevation change rates in most of the inland arears are slightly positive with about 0.02m/yr, indicating that there are small amount of ice mass accumulation. The volume change rate of the whole Greenland ice sheet is −237.65km3/yr by the repeat-track plane fitting method from the ICESat elevation measurements. The volume change rate of the whole Greenland ice sheet is −198.54km3/r by the repeat-track with slope correction, which has a good agreement with GRACE measurements.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115000173","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}