2012 Second International Workshop on Earth Observation and Remote Sensing Applications最新文献_第7页

Coal seam modeling based on hexahedron grid and triangulation algorithm for real-time visualization 基于六面体网格和三角剖分算法的煤层建模实时可视化

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261194

Xiaoming Du, Zhipeng Li, S. Peng

{"title":"Coal seam modeling based on hexahedron grid and triangulation algorithm for real-time visualization","authors":"Xiaoming Du, Zhipeng Li, S. Peng","doi":"10.1109/EORSA.2012.6261194","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261194","url":null,"abstract":"3D coal seam modeling and visualization are two key parts of digital mining application. In this article, we proposed a convenient modeling method based on double-layer regular grid data (elevation grid and thickness grid), and developed a less redundant triangulation algorithm on the basis of a 3D irregular hexahedron. This grid-based molding fit the features of coal seam and general data producing approaches, boreholes interpolating and geophysical prospecting. The core of the algorithm is a virtual irregular hexahedron, whose bottom face is created by elevation grid and top face comes from an elevation grid plus corresponding thickness grid. The author summed up 5 different types of hexahedron for representing different situations in real coal seam and being as checking conditions to make sure integrity of the algorithm. Special areas in grid, where the values are invalid digital, express the collapse columns and outside areas in coal seam. Based on the layout of valid points in a hexahedron and the location of a grid data block in a coal seam, an iterating algorithm using hexahedral cell has been proposed, that dynamically fetch the 3D grid data from database only once in every real-time rendering. Each face of hexahedral cell is subdivided into seamless triangles in different approach according to the location of valid points. This paper concludes that the model combines the advantage of easy rendering by triangles and high accessibility of grid data; the algorithm can efficiently solve the problem of model reconstruction caused by database update with less redundancy.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130152416","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: 0

Object-based classification using LiDAR-derived metrics and QuickBird imagery 使用激光雷达衍生度量和QuickBird图像的基于目标的分类

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261161

A. Wang, Shuhe Zhao, Hongkui Zhou, Yun-xiao Luo, Lei Tan

引用次数: 6

Bundle adjustment of High Resolution Stereo Camera on Mars Express 火星快车上高分辨率立体相机的束调整

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261174

Lingyun Li, X. Tong, Yanmin Jin, Peng Chen, Shijie Liu, Zhonghua Hong

引用次数: 2

Estimation of net primary productivity using multi-scale remote sensing data in Xuzhou, China 基于多尺度遥感数据的徐州地区净初级生产力估算

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261137

Kun Tan, Erzhu Li, Peijun Du

引用次数: 1

Characterizing and comparing urban expansion process in central and southern China: intensity and impacts on eco-environment 中南城市扩张过程特征与比较:强度及其对生态环境的影响

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261124

Zuo Lijun, Xiaoli Zhao, Zengxiang Zhang, L. Fang, Jinyong Xu, Q. Wen

{"title":"Characterizing and comparing urban expansion process in central and southern China: intensity and impacts on eco-environment","authors":"Zuo Lijun, Xiaoli Zhao, Zengxiang Zhang, L. Fang, Jinyong Xu, Q. Wen","doi":"10.1109/EORSA.2012.6261124","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261124","url":null,"abstract":"This paper used multi-periods of Landsat image data to detect the urban area change of eleven cities located in different administrator-tiers of Central and Southern China for the past three decades. Urban expanding intensity and impacts on eco-environment were quantitatively measured by Annual Urban Growth Rate (AGR) and reduction of ecosystem service value. Comparison was applied among different regions and administrator-tiers. The results showed that all cities experienced two expanding peaks in early 1990s and early 21st century. Cities in central China had a higher peak in early 21st century while the higher peak occurred in early 1990s for cities in southern China. National economic development strategy was the main cause leading to these differences. For impacts on eco-environment, urban expanding caused a significant reduction on ecosystem service value, and the mean value was region dependent, while changing tendency was administratortier dependent. A decreasing trend of reduction on ecosystem service value was observed in most provincial capital cities, while an increasing trend showed in those prefecture-level cities. The research is instructional and meaningful for city development and urban planning in central and southern China.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211642","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: 0

Preliminary study on carbon fluxes from land change in a subtropical watershed of China 中国亚热带流域土地变化碳通量的初步研究

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261167

Ye Shen, Jinliang Huang, Hongyou Hu

{"title":"Preliminary study on carbon fluxes from land change in a subtropical watershed of China","authors":"Ye Shen, Jinliang Huang, Hongyou Hu","doi":"10.1109/EORSA.2012.6261167","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261167","url":null,"abstract":"This study represents a watershed-scale study of C fluxes from land change in the Jiulong River watershed, a subtropical watershed in Southeast China. Land-cover maps of woodland, cropland, orchard, built-up, water, and barren from 1986, 1996, 2002, 2007, 2010 were produced using a combination of unsupervised classification and spatial reclassification based on manual on-screen digitizing. Intensity analysis was then used to identify the dominant and systematic transitions. C fluxes from land change over three decades of imagery were estimated from the transitions among woodland, cropland, built and orchard for each time period. C accumulation and losses from terrestrial biomass are derived from observed changes in land cover. The ecological method used in this study considered that the amount of C emitted to the atmosphere is a function of the amount of C stored in terrestrial vegetation and the areal extent of each land-use category, combined with key terms of biomass, annual carbon gain, and burning efficiency. The results indicate that the trend of LUCC in Jiulong River watershed can produce a considerable potential of function as an important Carbon sink in south-eastern China, the net amount of carbon stored can be 4.50×104 t, 1.86×105 t, 9.21×105 t, 1.35×105 t for 1986–1996, 1996–2002, 2002–2007, and 2007–2010, respectively. The findings of this study enable us to gain a broad understanding of watershed-scale C fluxes from land change in a subtropical watershed of China.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130462096","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: 0

Research on net primary productivity and soil organic carbon pool in the coal mining area of Xuzhou 徐州市煤矿区净初级生产力与土壤有机碳库研究

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261136

Kun Tan, Junpeng Zhang, Peijun Du

{"title":"Research on net primary productivity and soil organic carbon pool in the coal mining area of Xuzhou","authors":"Kun Tan, Junpeng Zhang, Peijun Du","doi":"10.1109/EORSA.2012.6261136","DOIUrl":"https://doi.org/10.1109/EORSA.2012.6261136","url":null,"abstract":"Soil organic carbon (SOC) pool plays an important role in the land ecosystem carbon cycle, and Net primary productivity (NPP) is one of the driving forces that have a notable impact on the SOC pool. An assessment of SOC Pool in coal mining area which spatial distribution and temporal variation associated with NPP can provide scientific basis for government to reduce carbon emission and increase carbon sink. Study on NPP and soil carbon stock in regional scale, it can not only reduce the uncertainty in large spatial scale, but also provide substantial data for the study. The influences of intensive NPP on regional soil carbon stock in typical sensitive area are the key point for regional researches, especially for the typical coal mining area of Xuzhou. In this experiment, the NPP was increasing from 1997 to 2003 due to the environmental protection and vegetation coverage increasing in the study area. The woodland increased year by year because of the new governmental laws. The emission of SOC and O2 varied with the NPP in the same spatiotemporal dynamic evolution. They were also increasing from 1997 to 2003. The flux of SOC increased rapidly with the development of economy. The aggregation of SOC reached the highest in 2003, so diversity index was continually increased and the ecosystem of mining area is turning to the diversification and homogenization.","PeriodicalId":132133,"journal":{"name":"2012 Second International Workshop on Earth Observation and Remote Sensing Applications","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126231625","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: 0

Estimating of atmospheric parameters on land using AMSR-E, part II: Inferring cloud liquid water 利用AMSR-E估算陆地大气参数，第二部分:云液态水的推断

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261150

Yongqian Wang, Jiancheng Shi, Zhihong Liu, Yingjie Peng, Wenjuan Liu

引用次数: 0

Accuracy analysis of MAMS data using direct georeferencing 直接地理参考的MAMS数据精度分析

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261166

K. Luan, Peng Chen, Songlin Zhang, X. Tong, Yanhua Ma, Wei Wang, Rong Shu, Shijie Liu

引用次数: 2

Analysis on the spatial distribution of urban heat island with downscaled FY-3A VIRR land surface temperature 基于FY-3A VIRR地表温度的城市热岛空间分布分析

2012 Second International Workshop on Earth Observation and Remote Sensing Applications Pub Date : 2012-06-08 DOI: 10.1109/EORSA.2012.6261130

Guangzhen Cao, Zhaojun Zheng, Jinlong Fan, Hou Peng

引用次数: 0