Geographic Information Sciences最新文献_第3页

Analysis on the Waterbirds Community Survey of Poyang Lake in Winter 鄱阳湖冬季水鸟群落调查分析

Geographic Information Sciences Pub Date : 2007-12-01 DOI: 10.1080/10824000709480632

W. Ji, Nanjing Zeng, Yunbao Wang, P. Gong, Bing Xu, S. Bao

{"title":"Analysis on the Waterbirds Community Survey of Poyang Lake in Winter","authors":"W. Ji, Nanjing Zeng, Yunbao Wang, P. Gong, Bing Xu, S. Bao","doi":"10.1080/10824000709480632","DOIUrl":"https://doi.org/10.1080/10824000709480632","url":null,"abstract":"Abstract Poyang Lake provides wintering sites for several hundred thousands water birds every year. There are historical records of 310 species of birds in Poyang Lake National Nature Reserve (Abbr. in PYNNR), belonging to 17 orders, 63 families, and 158 genus, and including 125 water birds species belonging to 6 orders, 19 families, and 60 genus. The most amount of waterbirds in Poyang Lake are geese and swans, the second most are shorebirds. Dominant species of bird communities are whistling swan, swan goose and white-fronted goose. There are 19 species listed as threatened by IUCN. The Siberian crane is the most well-known wintering species in Poyang Lake. The number of Siberian cranes stablized in recent years. There are 18 species whose numbers are more than 1% of the total number of their global or migrant route's populations according to three separate of surveys. PYNNR is the most concentrated area for rare waterbird and precious species; at the same time, Nanhu and other adjacent areas to PYNNR such as the middle and south branch of the Gan River are also important habitats for rare waterbirds, and need more attention and conservation actions.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"85 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114340889","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: 49

Carex Dynamics as an Environmental Indicator in the Poyang Lake Wetland Area: Remote Sensing Mapping and GIS Analysis 鄱阳湖湿地苔草动态的环境指标:遥感制图与GIS分析

Geographic Information Sciences Pub Date : 2007-12-01 DOI: 10.1080/10824000709480631

Shuisen Chen, Xiaobo Su, Ligang Fang, Liangfu Chen

{"title":"Carex Dynamics as an Environmental Indicator in the Poyang Lake Wetland Area: Remote Sensing Mapping and GIS Analysis","authors":"Shuisen Chen, Xiaobo Su, Ligang Fang, Liangfu Chen","doi":"10.1080/10824000709480631","DOIUrl":"https://doi.org/10.1080/10824000709480631","url":null,"abstract":"Abstract It is of considerable importance to analyze the changes in Carex distribution and environmental elements in order to protect and exploit the wetland resources of the Poyang Lake wetland area, one of the most important wetlands in the world. Employing multitemporal remote sensing images acquired on October 31st, 2005 and December 10th, 1999, the authors determined the dynamic distribution of Carex by combining spectral angle mapping technologies. Then, for the first time, Arc View GIS-based statistical analysis was performed on the Carex dynamics. Finally, the relationship between the Carex dynamics and delta change, and the landscape fragmentation index of Carex were further analyzed. It was found that: (1) the extent of Carex in the Gan River delta, particularly in the north distributary of the river, was directly correlated to lake sedimentation and regional drought in the same year; (2) the distribution of migratory birds is influenced by factors additional to the distribution of Carex; and (3) the wetland landscape ecology of the Poyang Lake wetland area is facing threats from human disturbance and needs further attention if it is to retain its status as an important bird habitat.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123289275","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: 6

Integration of Coupled Hydro-ecological Modeling in Poyang Lake Watershed Based on Digital Watershed Platform 基于数字流域平台的鄱阳湖流域水文生态耦合建模集成

Geographic Information Sciences Pub Date : 2007-12-01 DOI: 10.1080/10824000709480628

G. Lai, Jing Chen, Yinwen Liu, Yu Fang, Meijuan Luo

引用次数: 0

An Automated Approach to Site Selection for Ecological Restoration in Fragmented Landscapes 破碎化景观中生态修复选址的自动化方法

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480623

R. Roth, A. Zhu, Eric Holbus, J. Papež, Jeremy Quan

引用次数: 3

An Automatic Method for Matching 2D ADS40 Images onto a 3D Surface Model 二维ADS40图像与三维表面模型的自动匹配方法

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480622

Z. Liu, P. Gong, P. Shi, Houwu Chen, T. Sasagawa

{"title":"An Automatic Method for Matching 2D ADS40 Images onto a 3D Surface Model","authors":"Z. Liu, P. Gong, P. Shi, Houwu Chen, T. Sasagawa","doi":"10.1080/10824000609480622","DOIUrl":"https://doi.org/10.1080/10824000609480622","url":null,"abstract":"Abstract An automatic method is developed here to paste aerial images onto an urban 3D surface model for more realistic visualization. In this study we extracted different side views of urban constructions from an aerial image acquired with an airborne linear scanner sensor. We then matched those sideview images onto a 3D surface model according to the correspondence between the image and model. Side view feature extraction from images and matching those features to 3D models are two key steps in developing an automatic 3D image modelling technique. Here we present a new line-extraction approach using a multiple-level feature filter, which consists of the following: a Canny edge detector, an edge phase filter, an edge direction filter with fault tolerance, a Hough transformer, and a neighbouring line-segment fuser. We propose a base-line segmentation and parallelogram extraction algorithm based on perceptual organization. The algorithm employs uncertainty reasoning and is based on part forms for shape expression. It is computationally less intensive and noise free. Matching 2D images to 3D models requires finding a transformation matrix to minimize error. A lot of algorithms have been presented to solve the matching problem. However, there is still no good solution to the problem as it has too many unknown parameters. In this research, we first project images based on the camera model after a partial matching between the extracted parallelogram and the 3D model is carried out. Then, the Hausdorff distance is calculated between edges in the original image and the projected image, based on which sideview feature mapping is realized to obtain 3D virtual views based on a 3D surface model and a 2D image.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128059471","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: 1

The Great Wall of China can be Seen from Space 从太空可以看到中国的长城

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480619

Gary Li, Guorong Wang

引用次数: 0

PDEMR Modelling of Protea Species in the Population Size of 1 to 10, in Cape Floristic Region from 1992 to 2002, South Africa 1992 - 2002年南非开普区1 ~ 10种群大小的Protea种PDEMR模型

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480620

D. Guo, R. Guo, G. Midgley, G. RebeloA.

引用次数: 5

Propagation of Uncertainty within the Affine Transformation Application on Contours 轮廓仿射变换中不确定性的传播

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480621

G. Achilleos

引用次数: 3

Improved IBP for Super-resolving Remote Sensing Images 改进的超分辨遥感图像IBP

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480624

Feng Li, D. Fraser, X. Jia

引用次数: 6

The Effect of Power and Space on Foreign Diplomatic Presence in the United States: a Spatial Modeling Approach 权力和空间对驻美外国外交存在的影响:一种空间建模方法

Geographic Information Sciences Pub Date : 2006-12-01 DOI: 10.1080/10824000609480618

Imam M. Xierali, Lin Liu

引用次数: 5