{"title":"Research on detecting ground obstructions in mountain seismic line deployment","authors":"R. Liu, Jie Zhu, Changjiang Gou, Ce Feng","doi":"10.1109/Geoinformatics.2013.6626202","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626202","url":null,"abstract":"In central and western regions where the topography is complex, various obstructions such as roads, rivers, and villages interfere the deployment of the mountain seismic line. In this paper, we compared the traditional operators, such as the Robert operator, the Sobel operator, and the Laplacian operator, discovering the defect in accuracy and noise resistance. Then, a computational approach using Canny detection with wavelet denoising has been proposed, which solves the problem of locating the seismic line accurately and efficiently.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"650 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876190","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":"Understanding the change in streamflow of an inland river as a response to regional climate change in Northwest China","authors":"Yiwen Xu, Jianhua Xu","doi":"10.1109/Geoinformatics.2013.6626099","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626099","url":null,"abstract":"The hydro-climatic process in arid areas is an important academic issue, which has been paid more and more attentions since the 1990s. But to date, it has not received satisfactory answers. From a perspective of multi-time scales, this paper studied the relationship between the stream flow of an inland river and its related climatic factors in the arid area of northwest China by an integrated approach combining wavelet decomposition (WD), multiple linear regression (MLR), and back propagation artificial neural network (BPANN), and investigated the Yarkand River in the southern Xinjiang as a case study. The results show that the annual runoff (AR) was mainly affected by the annual average temperature (AAT) and annual precipitation (AP), which revealed different variation patterns at five time scales. At the 16- year and 32- year scale, AR basically presented a monotonically increasing trend with the similar trend of AAT and AP. But at 2-year, 4-year, 8-year and 16-year scale, AR presented nonlinear variation with fluctuations of AAT and AP.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122771318","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":"Intensive evaluation and development strategies of tourist attractions' land utilization — A case study of Gulou District in the City of Kaifeng","authors":"Shaohua Wang","doi":"10.1109/Geoinformatics.2013.6626104","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626104","url":null,"abstract":"Improving the efficacy of space utilization has been listed as the primary task of land space development in the report to the Eighteenth National Congress of the Communist Party of China. But with the booming development of the tourism industry, tourism land has shown the trend of rapid expansion. Therefore, the efficacious utility of the land for scenic area is The inevitable tendency of tourism development. Gulou District was chosen as the study object in this paper, and the land use of the scenic area within the district was evaluated by using fuzzy mathematical model and the data obtained by field survey and expert interviews. The results show that the lower efficacy of the current land use of the scenic area within Gulou District leaves a huge space to improve the situation.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"49 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986742","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":"An effective method for river generalization","authors":"Fei He, Qiang Qiu, Jinyun Fang","doi":"10.1109/Geoinformatics.2013.6626174","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626174","url":null,"abstract":"River generalization is an important part of Geographic Information System. Traditional research is focused on how to extract river systems of electronic maps correctly. They just delete rivers with low levels while not regarding redundant points of rivers of electronic maps or whether the speed of their methods could meet the users' demands. In this paper, we propose a method which filters out redundant information of electronic maps in two steps. First, we make use of a “knowledge decision making” method to extract river systems. Second, we deleted both redundant rivers and redundant points of the maps. In order to speed up our method, we use MPI to design a parallel method to delete redundant points. Experiment results show that our method could extract river systems correctly. With the number of the processes increasing, the parallel based curves rarefy method could increase in speed. Compared to traditional methods, the readability of a map will be improved after filtering out useless information and the storage space that it needs will drop drastically.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249472","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 novel approach to assess and monitor forests for REDD","authors":"Heli Lu, Guifang Liu, Zhong Huang, Wenlong Jin","doi":"10.1109/Geoinformatics.2013.6626185","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626185","url":null,"abstract":"Reducing emissions from deforestation and forest degradation, plus conservation of forest carbon stocks, sustainable management of forests, and enhancement of forest carbon stocks, is a set of steps designed to use market and financial incentives in order to reduce the emissions of greenhouse gases. The paper addresses the role of satellite remote sensing technologies as a tool for monitoring, assessment, reporting and verification of carbon credits. In particular, image fusion techniques were used to assess and monitor forests based on moderate resolution images of MODIS and TM data. The result showed that satellite image fusion could provide more spatial details and better spectral information compared with the original image and thus prove to be an excellent tool for monitoring carbon storage change for REDD.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126971304","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":"Dynamic monitoring of vegetation coverage in Shangri-La County of Northwest Yunnan based on MODIS-NDVI","authors":"Yu Deng, Jinliang Wang, Rubiao Ma","doi":"10.1109/Geoinformatics.2013.6626120","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626120","url":null,"abstract":"Vegetation Coverage is an important parameter to the development of climatic and ecological models. It is significant in monitoring ecological environment change and the recovery and reconstruction of vegetation. Shangri-La County, located in Northwest of Yunnan, upper and middle reaches of the Yangtze River, which is characterized by a difference in large elevation, landscape fragmentation, and ecological fragile environment. It has great significance to study the vegetation cover monitoring in this zone. The Dimidiate Pixel Model was used to extract vegetation coverage information using NDVI in 2000, 2006, and 2011 in Shangri-La County. Temporal and spatial pattern analyzed in the past 10 years in light of administrative division and geographic landform. The results showed that: (1) Respectively the data was 28.60%, 57.45% and 53.93% in 2000, 2006 and 2011, and now the data keeps on increasing; (2)The vegetation coverage in township level of study area is great different: Jinsha> Hutiaoxia> ShangJiang> Sanba> Dongwang> Xiaozhongdian> Nixi> Wujin> Geza> Luoji> Jiantang; (3) Vegetation coverage is increasing with altitude decreasing, the higher altitude and the lower vegetation coverage is. Whatever the elevation is, the vegetation coverage is increasing from 2000 to 2011, while vegetation coverage was decreasing by 10% nearly in the elevation of 4000-4500 from 2006 to 2011.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125492113","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":"Analysis of spatial distribution of goundwater quality in Huaihe river basin","authors":"Yan Jiang, Wei‐chun Ma, Huihuang Luo, Wei Huang","doi":"10.1109/Geoinformatics.2013.6626133","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626133","url":null,"abstract":"Groundwater is one of the major sources of exploitation in mid-eastern China. Thus for protecting groundwater quality, data on spatial and temporal distribution is important. Geostatistics methods are one of the most advanced techniques for interpolation of groundwater quality. In this research, ordinary kriging was used for predicting spatial distribution of some groundwater characteristics including pH, salinity, total hardness, ammonia nitrogen, volatile phenol, CODMn, SO42-, Cl-, F-, nitrate nitrogen, and nitrite nitrogen. Sampling data were collected and statistical analyses from 45 wells even distributing in Huaihe river basin. After statistical analysis of data, for selecting suitable model for fitness on experimental variograme, a cross validation indicators and additional model parameters was used to select the best method for interpolation. Results showed that ordinary kriging methods are suit to spatial interpolation of groudwater quality. Finally, filled contour maps generating from their semivariograms are drawn and predict the change of groundwater quality in the basin.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131537560","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 spatial-homogeneity-based interpolation algorithm for soil properties","authors":"Jiaogen Zhou, Huanyao Liu","doi":"10.1109/Geoinformatics.2013.6626171","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626171","url":null,"abstract":"Estimation of soil properties in an un-sampled location is generally calculated with observation values of a number of neighbors around the un-sampled location to reduce the computational complexity. The more similarity there is between the neighbors, the better prediction at the un-sampled location. In this paper, we proposed a spatial homogeneity-based interpolation algorithm, which finds more similar neighbors close to an unmeasured location to improve estimation performance. The algorithm imposes a constraint on interpolation process, which the estimation of soil properties at unknown locations is processed in the context of spatial homogeneity. The experimental results on real data of 196 soil Cu illustrates that the performance of the algorithm is more reliable than OK.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134400893","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":"Real-time visualization of three-dimensional high-speed railways based on model combination","authors":"Ya Hu, Jun Zhu, Jinhong Wang, Huixin Zhang","doi":"10.1109/Geoinformatics.2013.6626098","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626098","url":null,"abstract":"To meet the higher requirements of the visualization and management of high-speed railways at the present, this paper makes research on the real-time visualization of three-dimensional high-speed railways based on model(Here, a model is the common facility on a railway line, such as a standard dimension steel rail, a part of a bridge deck, a bridge pier)combination. Firstly, some key technologies formanagement and scheduling ofvarious, numerous models were described in detail, which include how to quickly obtain a model withincertain range of a viewpoint froma large number ofmodels, how to judge whether the model is in the view frustum of the viewpoint, and how to rapidly load the needed models in the current frame based on the already loaded models in the previous frame. Then a prototype system was implemented to verify the technical proposal addressedin this paper. The experiment results provethat this technical proposal can provide a real-time, vivid, and virtual visualization expressionof high-speed railways.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133256373","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":"Optimal layout of borehole location based on Delaunay Refinement","authors":"Na Wan, Jinhu Hu","doi":"10.1109/Geoinformatics.2013.6626060","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626060","url":null,"abstract":"During the urban planning, there exists a need for geological disaster investigation. Drilling is the most common way to survey the geological environment of the research area. However, how to determine the locations of the boreholes reasonably is an important problem. We have adopted the Delaunay Refinement technique to determine the location of boreholes. Delaunay Refinement technique can generate relatively well-distributed triangular mesh by inserting some new points at the circumcenter of triangles. In the engineering practice, ZhengDong new district neededto carry out a geological disaster investigation. The government required the distance between any two boreholes not to exceed 1.5 kilometers to guaranteeaccuracy. The existing 40 boreholes data, collected from the constructed buildings, along with the border of ZhengDong new district as the constrained conditions, the locations of new boreholes can be determined the by Delaunay Refinement. The locations of new inserting points just are what we needed. Using this method, the optimal layout of boreholes can be achieved. Thus, this method produces not only a rational result, but also reduces the cost.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131367506","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}