Pub Date : 2006-09-01DOI: 10.1109/ICAST.2006.313821
Hujun Yin, I. Hussain
Digital images often suffer from point spreading or blurring from both known and unknown filters or point spread functions. The sources of degradation can be lens point spreading, misfocus, motion, and scattering in case of x-ray images or atmospheric turbulence. Therefore a digital image can suffer blurring from a single or a combination of various point spread functions, for example many images suffer from lens out of focus blur because of manufacturing limitations or satellite/aerial images suffer from lens focus and atmospheric turbulence etc. The obvious requirement of an imaging system is to reproduce an image that is as close to original as possible. Most existing image restoration methods uses blind deconvolution and deblurring methods that require good knowledge about both the signal and the filter and the performance depends on the amount of prior information regarding the blurring function and the signal. Often an iterative procedure is required for estimating the blurring function such as Richardson-Lucy method and is computational complex and expensive and sometime unstable. This paper presents a blind image restoration method based on techniques of blind signal separation (BSS) in combination with the genetic algorithm for parameters optimization. The method is not only simple but also requires little priori knowledge regarding the signal and the blurring function
{"title":"Blind Source Separation and Genetic Algorithm for Image Restoration","authors":"Hujun Yin, I. Hussain","doi":"10.1109/ICAST.2006.313821","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313821","url":null,"abstract":"Digital images often suffer from point spreading or blurring from both known and unknown filters or point spread functions. The sources of degradation can be lens point spreading, misfocus, motion, and scattering in case of x-ray images or atmospheric turbulence. Therefore a digital image can suffer blurring from a single or a combination of various point spread functions, for example many images suffer from lens out of focus blur because of manufacturing limitations or satellite/aerial images suffer from lens focus and atmospheric turbulence etc. The obvious requirement of an imaging system is to reproduce an image that is as close to original as possible. Most existing image restoration methods uses blind deconvolution and deblurring methods that require good knowledge about both the signal and the filter and the performance depends on the amount of prior information regarding the blurring function and the signal. Often an iterative procedure is required for estimating the blurring function such as Richardson-Lucy method and is computational complex and expensive and sometime unstable. This paper presents a blind image restoration method based on techniques of blind signal separation (BSS) in combination with the genetic algorithm for parameters optimization. The method is not only simple but also requires little priori knowledge regarding the signal and the blurring function","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129065779","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313815
A. Shakoor, A. Shehzad, Muhammad Nadeem Asghar
This paper describes the importance and capabilities of modern techniques such as remote sensing (RS) and geographic information systems (GIS) as water resource management and conservation tool. RS/GIS analysis can show where water enters a system and how it leaves through evapotranspiration and runoff. Using this information, planners can identify areas where there is potential for development of new water resources; where water can be reallocated from one use or one basin to another; and identify potential areas of water scarcity before water shortages occur. The main objective of this research is to calculate accurate crop water requirement by using RS/GIS in combination with hydraulic models. The results helped in devising guidelines, which in turn will help the policy makers to release the water supplies based on crop requirement only rather than supply based. Multi temporal satellite images were used to identify various crops and cropping pattern in the area. This study was conducted for the Pehure high level canal (PHLC) and the upper Swat canal (USC) system in the North Western Frontier Province (NWFP) of Pakistan. Crop identification at distributary level was made from multi-temporal remote sensing satellite images. Various image processing techniques such as supervised, unsupervised classification and spectral mixture analysis were used to correctly identify various types of crops in the region and ultimately accurate areas of all the classified crops was calculated from the satellite images. These calculated areas were compared with the seasonal data recorded by the irrigation department. ET was calculated using CROPWAT model at various stages of crop growth. Then water required for each individual crop was calculated. The results are very encouraging. The results of this study can be used while devising guidelines for water managers to release the canal supplies based on crop water requirement This practice will help in avoiding wastage of canal water at farm level, which can be optimally used for increasing irrigated areas and crop productivity in the area.
{"title":"Application of Remote Sensing Techniques for Water Resources Planning and Management","authors":"A. Shakoor, A. Shehzad, Muhammad Nadeem Asghar","doi":"10.1109/ICAST.2006.313815","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313815","url":null,"abstract":"This paper describes the importance and capabilities of modern techniques such as remote sensing (RS) and geographic information systems (GIS) as water resource management and conservation tool. RS/GIS analysis can show where water enters a system and how it leaves through evapotranspiration and runoff. Using this information, planners can identify areas where there is potential for development of new water resources; where water can be reallocated from one use or one basin to another; and identify potential areas of water scarcity before water shortages occur. The main objective of this research is to calculate accurate crop water requirement by using RS/GIS in combination with hydraulic models. The results helped in devising guidelines, which in turn will help the policy makers to release the water supplies based on crop requirement only rather than supply based. Multi temporal satellite images were used to identify various crops and cropping pattern in the area. This study was conducted for the Pehure high level canal (PHLC) and the upper Swat canal (USC) system in the North Western Frontier Province (NWFP) of Pakistan. Crop identification at distributary level was made from multi-temporal remote sensing satellite images. Various image processing techniques such as supervised, unsupervised classification and spectral mixture analysis were used to correctly identify various types of crops in the region and ultimately accurate areas of all the classified crops was calculated from the satellite images. These calculated areas were compared with the seasonal data recorded by the irrigation department. ET was calculated using CROPWAT model at various stages of crop growth. Then water required for each individual crop was calculated. The results are very encouraging. The results of this study can be used while devising guidelines for water managers to release the canal supplies based on crop water requirement This practice will help in avoiding wastage of canal water at farm level, which can be optimally used for increasing irrigated areas and crop productivity in the area.","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459189","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313818
A. Ghayur
This paper discusses the renewable energy sector and the role satellites can play in its development and deployment. Satellite based sensors can provide useful information regarding the renewable energy sources such as solar, wind, biodiesel and hydropower. This paper also discusses the concept of distributed power generation and how the renewable energy power can be used to implement the concept. Satellites can not only be used to introduce renewable energies in already developed metropolises but also help identify the potential areas for different resources in different regions, thus helping the planners to include the renewable energy power generation during planning phases. Paper has also looked upon the status of energy in Pakistan and how Pakistan can use renewable energy to diversify its energy mix and meet its growing energy demands.
{"title":"Role of Satellites for Renewable Energy Generation Technologies in Urban Regional and Urban Settings","authors":"A. Ghayur","doi":"10.1109/ICAST.2006.313818","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313818","url":null,"abstract":"This paper discusses the renewable energy sector and the role satellites can play in its development and deployment. Satellite based sensors can provide useful information regarding the renewable energy sources such as solar, wind, biodiesel and hydropower. This paper also discusses the concept of distributed power generation and how the renewable energy power can be used to implement the concept. Satellites can not only be used to introduce renewable energies in already developed metropolises but also help identify the potential areas for different resources in different regions, thus helping the planners to include the renewable energy power generation during planning phases. Paper has also looked upon the status of energy in Pakistan and how Pakistan can use renewable energy to diversify its energy mix and meet its growing energy demands.","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599444","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313791
Ayub KhanYousuf Zai, Asif R Khan
The stratosphere is one of the constituents of thermal structure of the atmosphere. The maximum concentration of ozone is found at the stratospheric region where it is interacted by many species including chemical and physical processes. Atmosphere as a whole is an open system that is regarded as a non linear system and that seems to be complex. Therefore, a non-linear trend is plausible to explain phenomenon of ozone layer depletion (OLD). In this manuscript we have paid our attention is the analysis of the major portion of historic data on stratospheric O3 based on ground-based measurements by the Dobson spectrophotometer. In this communication we have estimated parameters for describing non-linearity in the process using polynomial trend functions and predicted values are calculated for the period from 1960 to 1999. Future values for ozone depths are computed till 2006 and compared with the minor portion of the data set
{"title":"Study of Nonlineare Dynamics of Ozone Layer Depletion for Stratospheric Region of Pakistan using Ground Based Instrumentation","authors":"Ayub KhanYousuf Zai, Asif R Khan","doi":"10.1109/ICAST.2006.313791","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313791","url":null,"abstract":"The stratosphere is one of the constituents of thermal structure of the atmosphere. The maximum concentration of ozone is found at the stratospheric region where it is interacted by many species including chemical and physical processes. Atmosphere as a whole is an open system that is regarded as a non linear system and that seems to be complex. Therefore, a non-linear trend is plausible to explain phenomenon of ozone layer depletion (OLD). In this manuscript we have paid our attention is the analysis of the major portion of historic data on stratospheric O3 based on ground-based measurements by the Dobson spectrophotometer. In this communication we have estimated parameters for describing non-linearity in the process using polynomial trend functions and predicted values are calculated for the period from 1960 to 1999. Future values for ozone depths are computed till 2006 and compared with the minor portion of the data set","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131880424","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313790
H. Sharif, M. A. Hashmi
Inundation mapping for Indus River and its tributaries is a large as well as complex task to undertake. GIS and remote sensing technologies enable us to handle the complexity involved in the development and maintenance of such large systems. The main feature of such systems is the easy incorporation of changes to system. The influence of a revision in methodology at any stage of the system development lifecycle does not propagate to every other stage of the system thus allowing for incremental development. Moreover, the savings in time and project cost cannot be stressed more as use of satellite technology complements conventional engineering techniques for data gathering and lead to more information rich systems
{"title":"Use of RS & GIS in Flood Forecasting and Early Warning System for Indus Basin","authors":"H. Sharif, M. A. Hashmi","doi":"10.1109/ICAST.2006.313790","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313790","url":null,"abstract":"Inundation mapping for Indus River and its tributaries is a large as well as complex task to undertake. GIS and remote sensing technologies enable us to handle the complexity involved in the development and maintenance of such large systems. The main feature of such systems is the easy incorporation of changes to system. The influence of a revision in methodology at any stage of the system development lifecycle does not propagate to every other stage of the system thus allowing for incremental development. Moreover, the savings in time and project cost cannot be stressed more as use of satellite technology complements conventional engineering techniques for data gathering and lead to more information rich systems","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129987609","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313796
A. Telli, E. Çetin, I. Kale
Statistics show that the numbers of natural disasters are on the increase, resulting in increased numbers of human and economic losses. It is therefore, of paramount importance to effectively and efficiently manage a large-scale disaster by utilizing and deploy the Galileo based technology developed for disaster management and rehabilitation. The University of Westminster's, Applied DSP and VLSI research group (ADVRG) has been working on a project, called GaliSys, to design, manufacture, test and commission "fully integrated software configurable receiver integrated circuit(s) (ICs)" for GALILEO radio navigation satellite(s). GaliSys will not only be used in looming disaster early warning systems but also can be used to provide live damage information on highways, airports, railways, pipes and associated essential infrastructure facilities prior to and soon after the disaster which will be of invaluable use to the emergency services. Furthermore, GaliSys may also provide accurate data for observing possible flood risk areas as well as providing means to locate relief and rescue personnel and vehicles in big wild fires. In addition to these, one other application area of GaliSys may be in effective relief provision for refugees in war stricken parts of the world. GaliSys provides a highly integrated, low-power and flexible platform which is readily user configurable to tailor it to the specific applications and needs. In this paper, the GaliSys project together with its possible applications in disaster management and rehabilitation are presented
{"title":"GaliSys: Fully Integrated Software Configurable Receiver Integrated Circuit(s) (ICs) for GALILEO Radio Navigation Satellite Systems and its Applications in Disaster Management and Rehabilitation","authors":"A. Telli, E. Çetin, I. Kale","doi":"10.1109/ICAST.2006.313796","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313796","url":null,"abstract":"Statistics show that the numbers of natural disasters are on the increase, resulting in increased numbers of human and economic losses. It is therefore, of paramount importance to effectively and efficiently manage a large-scale disaster by utilizing and deploy the Galileo based technology developed for disaster management and rehabilitation. The University of Westminster's, Applied DSP and VLSI research group (ADVRG) has been working on a project, called GaliSys, to design, manufacture, test and commission \"fully integrated software configurable receiver integrated circuit(s) (ICs)\" for GALILEO radio navigation satellite(s). GaliSys will not only be used in looming disaster early warning systems but also can be used to provide live damage information on highways, airports, railways, pipes and associated essential infrastructure facilities prior to and soon after the disaster which will be of invaluable use to the emergency services. Furthermore, GaliSys may also provide accurate data for observing possible flood risk areas as well as providing means to locate relief and rescue personnel and vehicles in big wild fires. In addition to these, one other application area of GaliSys may be in effective relief provision for refugees in war stricken parts of the world. GaliSys provides a highly integrated, low-power and flexible platform which is readily user configurable to tailor it to the specific applications and needs. In this paper, the GaliSys project together with its possible applications in disaster management and rehabilitation are presented","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127086739","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313786
Syed Jamil Hasan Kazmi, Salman Qureshi, Mairaj Uddin Siddiqui, M. Arsalan
Wetlands are among the world's most productive environments and are essential part of our landscape. They are the cradle of biological diversity and a vital component of the freshwater cycle. Wetlands provide countless benefits that include rich floral and faunal habitat, improved water quality, flood abatement, water storage and groundwater recharge, support of fisheries, and opportunities for education and recreation. Wetlands are dynamic ecosystems with complex interrelationships of hydrology, soils and vegetation. In Pakistan, wetlands cover approximately 9.7% (78,000 sq.km.) of its total area. However like other green areas these wetlands are also under tremendous environmental degradation. As a result, this important environmental source is depleting at an alarming rate. Therefore, an up to date scientific technology is required to monitor wetlands effectively. In this study the main task is to develop a GIS based wetlands inventory for the lower Sindh region in Pakistan. For this purpose, wetlands - on medium and high resolution satellite data have been identified and we also monitor the spatial and temporal changes in the wetlands within last ten years. Through this exercise it has established that the satellite remote sensing (SRS) and geographical information systems (GIS) are the state-of-the-art technologies for mapping, monitoring, and management of huge wetlands
{"title":"Depleting Wetlands of Lower Sindh, Pakistan: A Spatio-Temporal Study through Satellite Remote Sensing","authors":"Syed Jamil Hasan Kazmi, Salman Qureshi, Mairaj Uddin Siddiqui, M. Arsalan","doi":"10.1109/ICAST.2006.313786","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313786","url":null,"abstract":"Wetlands are among the world's most productive environments and are essential part of our landscape. They are the cradle of biological diversity and a vital component of the freshwater cycle. Wetlands provide countless benefits that include rich floral and faunal habitat, improved water quality, flood abatement, water storage and groundwater recharge, support of fisheries, and opportunities for education and recreation. Wetlands are dynamic ecosystems with complex interrelationships of hydrology, soils and vegetation. In Pakistan, wetlands cover approximately 9.7% (78,000 sq.km.) of its total area. However like other green areas these wetlands are also under tremendous environmental degradation. As a result, this important environmental source is depleting at an alarming rate. Therefore, an up to date scientific technology is required to monitor wetlands effectively. In this study the main task is to develop a GIS based wetlands inventory for the lower Sindh region in Pakistan. For this purpose, wetlands - on medium and high resolution satellite data have been identified and we also monitor the spatial and temporal changes in the wetlands within last ten years. Through this exercise it has established that the satellite remote sensing (SRS) and geographical information systems (GIS) are the state-of-the-art technologies for mapping, monitoring, and management of huge wetlands","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114717376","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313823
Fawad Saeed
In this paper the potential of remote sensing as a tool to study marine sanctuary has been explored. There are two main methods that can be used to extract information from the aerial photograph/satellite imagery; visual interpretation and digital image processing. Visual interpretation takes advantage of the human skills to recognize data "content" by combining several elements of image interpretation. It relies on experience, a prior knowledge and skilled analysts qualities to produce excellent results. Alternatively, digital image classification employs computer techniques which are mostly based on the reflection values of individual pixels and use statistical pattern recognition methods. In the current study, the main area of interest was distribution of sand, rocky reef, rocky rubble and sea grass in the sanctuary. The study showed that the supervised classification approach was a superior technique to employ for such studies as compare to other traditional approaches. Here, the higher degree of interaction between the analyst and the machine complements the limitations of each other. Furthermore, the analyst is also given the opportunity to "control" which digital signatures best qualify to represent a certain resource class considering the fact that the analyst has access to ground truth data to fine tune the classification
{"title":"Digital Image Processing of High Resolution Aerial Photograph of Shallow Marine Sanctuary, Victoria, Australia","authors":"Fawad Saeed","doi":"10.1109/ICAST.2006.313823","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313823","url":null,"abstract":"In this paper the potential of remote sensing as a tool to study marine sanctuary has been explored. There are two main methods that can be used to extract information from the aerial photograph/satellite imagery; visual interpretation and digital image processing. Visual interpretation takes advantage of the human skills to recognize data \"content\" by combining several elements of image interpretation. It relies on experience, a prior knowledge and skilled analysts qualities to produce excellent results. Alternatively, digital image classification employs computer techniques which are mostly based on the reflection values of individual pixels and use statistical pattern recognition methods. In the current study, the main area of interest was distribution of sand, rocky reef, rocky rubble and sea grass in the sanctuary. The study showed that the supervised classification approach was a superior technique to employ for such studies as compare to other traditional approaches. Here, the higher degree of interaction between the analyst and the machine complements the limitations of each other. Furthermore, the analyst is also given the opportunity to \"control\" which digital signatures best qualify to represent a certain resource class considering the fact that the analyst has access to ground truth data to fine tune the classification","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130889289","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313810
M. Nazir, I. Bajwa, M. Khan
This paper, about earthquake-disaster management system of Quetta city using GIS, point up how the effects of earthquakes can be minimized. For this purpose it proposes two strategies: preparedness for when the disaster occurs and hazard mitigation and emergency response. The earthquake disaster preparedness plan is essentially a plan that identifies weaknesses and threats to the urban environment and proposes strategies to overcome these weaknesses. Earthquake disaster mitigation plan describes how to respond when a disaster occurs. GIS will be developed using risk mapping that is hazard's layers and typical or general layers. Typical layers include the layers typically necessary for developing GIS for a disaster for example service infrastructure, housing typologies, and critical emergency facilities, such as police and fire stations, and hospitals. Where as hazard's layers include seismic hazard layer, seismic micro zoning layer and risk categorization layer
{"title":"A Conceptual Framework for Earthquake Disaster Management System (EDMS) for Quetta City using GIS","authors":"M. Nazir, I. Bajwa, M. Khan","doi":"10.1109/ICAST.2006.313810","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313810","url":null,"abstract":"This paper, about earthquake-disaster management system of Quetta city using GIS, point up how the effects of earthquakes can be minimized. For this purpose it proposes two strategies: preparedness for when the disaster occurs and hazard mitigation and emergency response. The earthquake disaster preparedness plan is essentially a plan that identifies weaknesses and threats to the urban environment and proposes strategies to overcome these weaknesses. Earthquake disaster mitigation plan describes how to respond when a disaster occurs. GIS will be developed using risk mapping that is hazard's layers and typical or general layers. Typical layers include the layers typically necessary for developing GIS for a disaster for example service infrastructure, housing typologies, and critical emergency facilities, such as police and fire stations, and hospitals. Where as hazard's layers include seismic hazard layer, seismic micro zoning layer and risk categorization layer","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123123640","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 : 2006-09-01DOI: 10.1109/ICAST.2006.313789
Saadat Khan, Linda See
This paper outlines the application of multiple linear regression and three different data-driven modeling techniques to river level forecasting for the river Ouse catchment in northern England. Lead times of 6 and 24 hours ahead were modelled. The results show that the data driven approaches generally outperformed the statistical approach and that M5 model trees have great potential for the development of transparent river level forecasting models.
{"title":"Rainfall-Runoff Modelling using Data Driven and Statistical Methods","authors":"Saadat Khan, Linda See","doi":"10.1109/ICAST.2006.313789","DOIUrl":"https://doi.org/10.1109/ICAST.2006.313789","url":null,"abstract":"This paper outlines the application of multiple linear regression and three different data-driven modeling techniques to river level forecasting for the river Ouse catchment in northern England. Lead times of 6 and 24 hours ahead were modelled. The results show that the data driven approaches generally outperformed the statistical approach and that M5 model trees have great potential for the development of transparent river level forecasting models.","PeriodicalId":433021,"journal":{"name":"2006 International Conference on Advances in Space Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132656143","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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