Pub Date : 2008-09-05DOI: 10.1109/EORSA.2008.4620345
Li Zhang, Jixian Zhang, Xiang Chen
High-resolution satellite images (HRSI) at sub-5m footprint such as IKONOS and SPOT-5 HRG/HRS images are becoming increasingly available to the earth observation community and their respective clients. SPOT-5 imagery is one of the main data sources for the project of West China topographic mapping (WChTM) which has been approved by the State Council of China in year 2006. In this paper, we present an approach for block-adjustment based on rational function model (RFM) with sparse GCPs by using SPOT-5 Images. To test the proposed approach, it has been applied to SPOT-5 images over 2 test-fields, one is in Baoji City, Chanxi, China, and another covers eastern part of Tibet Plateau, China. All test-fields are with variable terrain geomorphologic type and several tens of GCPs and check points measured by DGPS. The block-adjustment results show that with SPOT-5 HRS images and small number of GCPs we can achieve 5-9 m in planimetric and 2-3 m in height direction. From these experiments, itpsilas shown that with the proposed block-adjustment approach, by using SPOT-5 HRS imagery with small number of GCPs, satisfactory image orientation results can be achieved with a little bit better accuracy than those requirements from the Chinese surveying and mapping regulations for 1:50000 topographic maps.
{"title":"Block-adjustment with sparse GCPs and SPOT-5 HRS imagery for the Project of West China Topographic Mapping at 1:50,000 scale","authors":"Li Zhang, Jixian Zhang, Xiang Chen","doi":"10.1109/EORSA.2008.4620345","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620345","url":null,"abstract":"High-resolution satellite images (HRSI) at sub-5m footprint such as IKONOS and SPOT-5 HRG/HRS images are becoming increasingly available to the earth observation community and their respective clients. SPOT-5 imagery is one of the main data sources for the project of West China topographic mapping (WChTM) which has been approved by the State Council of China in year 2006. In this paper, we present an approach for block-adjustment based on rational function model (RFM) with sparse GCPs by using SPOT-5 Images. To test the proposed approach, it has been applied to SPOT-5 images over 2 test-fields, one is in Baoji City, Chanxi, China, and another covers eastern part of Tibet Plateau, China. All test-fields are with variable terrain geomorphologic type and several tens of GCPs and check points measured by DGPS. The block-adjustment results show that with SPOT-5 HRS images and small number of GCPs we can achieve 5-9 m in planimetric and 2-3 m in height direction. From these experiments, itpsilas shown that with the proposed block-adjustment approach, by using SPOT-5 HRS imagery with small number of GCPs, satisfactory image orientation results can be achieved with a little bit better accuracy than those requirements from the Chinese surveying and mapping regulations for 1:50000 topographic maps.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121900996","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 : 2008-06-01DOI: 10.1109/eorsa.2008.4620319
Jin Liang Liu, Ying Li
We use high resolution image of ASTER to extract glacier, during the extraction, based on the methods of glacier extraction before, we make up a set of glacier extraction work flow combined with the research area and research data. As a result, it is proved that the accuracy of the glacier extraction is high, and achieve the need of the research, on the other hand, we research the debris classification of glacier tongue, also can get good result at last, we sum up the method and bring forward some new idea.
{"title":"The glacier extraction based on ASTER data","authors":"Jin Liang Liu, Ying Li","doi":"10.1109/eorsa.2008.4620319","DOIUrl":"https://doi.org/10.1109/eorsa.2008.4620319","url":null,"abstract":"We use high resolution image of ASTER to extract glacier, during the extraction, based on the methods of glacier extraction before, we make up a set of glacier extraction work flow combined with the research area and research data. As a result, it is proved that the accuracy of the glacier extraction is high, and achieve the need of the research, on the other hand, we research the debris classification of glacier tongue, also can get good result at last, we sum up the method and bring forward some new idea.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642433","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 : 2008-06-01DOI: 10.1109/EORSA.2008.4620335
Di Wu, X. Zhang, H. Mao, H. Wu
Since the reform and opening up policy was launched in China in 1978, the society and economy of the southeastern coastal area of China (SCAC) has experienced rapid growth, and great changes have taken place in land-use structure. This paper analyzes the characteristics and major socio-economic driving forces of land-use change in Fuzhou, a typical city in SCAC, using remote sensing (RS) maps, geographic information system (GIS) space analysis and socio-economic data. Based on the RS maps, a change matrix was constructed for detecting the land-use change between 1989 and 2005 through pixel-to-pixel comparison. The result indicated that paddy fields, dry land, and forest land decreased enormously by 42.87%, 27.93% and 4.19% respectively from 1989 to 2005. In contrast, residential, industrial and mining sites, and bare land (including transportation land) increased by 186.20% and 32.72% respectively. In addition, socio-economic data, consisting of 11 indicators like population change, economic development, income and consumption level, investment level, land-use efficiency, land policies, etc., were used to analyze the major driving forces triggering land-use change through multi-linear regression module. The results showed that the population growth, the development of the secondary and tertiary industries, and pursuit of benefits for rural households were the major driving forces contributing to the rapid decrease of cultivated land area in Fuzhou; the fast expansion of its urban land was mainly driven by two factors, i.e., the output per unit area of non-agricultural land and non-agricultural population growth; other factors, such as overall population, output value per unit area of agricultural land, per capita gross domestic product (GDP), per capita disposable income of urban households, and overall social fixed asset investment also played a role in promoting or hindering the expansion of urban land to some extent. Whereas, the increasing strict land policies failed to play dramatic positive role in protecting cultivated land and controlling the rapid increase of urban construction land.
{"title":"Socio-economic driving forces of land-use change in Fuzhou, the southeastern coastal area of China","authors":"Di Wu, X. Zhang, H. Mao, H. Wu","doi":"10.1109/EORSA.2008.4620335","DOIUrl":"https://doi.org/10.1109/EORSA.2008.4620335","url":null,"abstract":"Since the reform and opening up policy was launched in China in 1978, the society and economy of the southeastern coastal area of China (SCAC) has experienced rapid growth, and great changes have taken place in land-use structure. This paper analyzes the characteristics and major socio-economic driving forces of land-use change in Fuzhou, a typical city in SCAC, using remote sensing (RS) maps, geographic information system (GIS) space analysis and socio-economic data. Based on the RS maps, a change matrix was constructed for detecting the land-use change between 1989 and 2005 through pixel-to-pixel comparison. The result indicated that paddy fields, dry land, and forest land decreased enormously by 42.87%, 27.93% and 4.19% respectively from 1989 to 2005. In contrast, residential, industrial and mining sites, and bare land (including transportation land) increased by 186.20% and 32.72% respectively. In addition, socio-economic data, consisting of 11 indicators like population change, economic development, income and consumption level, investment level, land-use efficiency, land policies, etc., were used to analyze the major driving forces triggering land-use change through multi-linear regression module. The results showed that the population growth, the development of the secondary and tertiary industries, and pursuit of benefits for rural households were the major driving forces contributing to the rapid decrease of cultivated land area in Fuzhou; the fast expansion of its urban land was mainly driven by two factors, i.e., the output per unit area of non-agricultural land and non-agricultural population growth; other factors, such as overall population, output value per unit area of agricultural land, per capita gross domestic product (GDP), per capita disposable income of urban households, and overall social fixed asset investment also played a role in promoting or hindering the expansion of urban land to some extent. Whereas, the increasing strict land policies failed to play dramatic positive role in protecting cultivated land and controlling the rapid increase of urban construction land.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121274750","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}
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