scholarly journals Analogue aerial-photopraphs external orientation reconstruction based on geoportal data

2011 ◽  
Vol 30 (3) ◽  
pp. 13-18
Author(s):  
Piotr Dzieszko
Keyword(s):  
Information Systems ◽  
High Resolution ◽  
Data Acquisition ◽  
Geographical Information Systems ◽  
Fast Growth ◽  
Geographical Information ◽  
Source Data ◽  
Effective Choice ◽  
Field Works ◽  
Very High

Analogue aerial-photopraphs external orientation reconstruction based on geoportal data For acquisition of source data for geoinformation analyses is necessary to do some field works. This way of data acquisition is time-consuming. In this case, photogrammetric and remote sensed methods can be more effective choice. Especially orthophotomap extracting is more effective process in creation of geodata. It is good foundation for further analysis and nice extension of existing geographical information systems. Despite fast growth of photogrammetry there are plenty of analogue, archival airphotos which can be used for geoinformation analysis. They are quiet up to date and scanned in very high resolution which means they can be used for really reliable analysis. The problem is very important because many of analogue, archival air photos do not contain photogrammetric warp. The aim of this paper is expression of applicability of geoportal webpage, which is part of INSPIRE directive, that can be used for external orientation reconstruction when there is no other georeference data.

scholarly journals A Framework for Rapid Impact Assessment with special reference to wildfires

2013 ◽  
Vol 5 (2) ◽  
Author(s):  
Isak D. Jansen Van Vuuren
Keyword(s):  
Risk Management ◽  
Information Systems ◽  
Data Acquisition ◽  
Impact Assessment ◽  
Geographical Information Systems ◽  
Agricultural Land ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Geographical Information ◽  
Specific Reference

Geographical Information Systems (GIS) technology is a powerful tool that can support decision-making in all the facets of disaster risk management. Being at the centre of all disaster risk management functions, GIS activities such as data acquisition, processing, analysis and visualisation should be seamless from planning to prediction, preparation, response and recovery. A case study of devastating wildfires that destroyed thousands of hectares of agricultural land during August 2011 in the North-West province, South Africa, identifies the lack of a comprehensive framework within which information-based disaster impact assessments are undertaken and which is integrated with the larger context of disaster risk management. Problems relating to the availability, quality and integration of data are typical of the ad hoc approach to the implementation of information technologies, indicating the need for an integrated and coordinated approach. The aim of this paper is to establish a framework for rapid impact assessment, with specific reference to geospatial data management. The framework is put into the theoretical context of disaster risk management and information management, with data acquisition and processing functions being anchored in the principles of information systems theory.

Use of high-resolution geographical databases for rainfall-runoff relation in urbanised areas

1999 ◽  
Vol 39 (9) ◽  
pp. 87-94
Author(s):  
Y. Zech ◽  
A. Escarmelle
Keyword(s):  
Information Systems ◽  
High Resolution ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Rainfall Runoff ◽  
Satellite Imaging ◽  
High Resolution Data ◽  
Distributed Models ◽  
Regional Hydrology ◽  
Resolution Data

Distributed models are more and more used in regional hydrology. One of the main reasons is their essential compatibility with raster data in Geographical Information Systems. Also in urban hydraulics, distributed models are promising but their development depends on the availability of high-resolution data able to represent urban features. Public databases from satellite imaging are not yet adequate. The paper investigates the possibility of using other kinds of databases designed more specifically for cartography. The advantages and inconveniences of such an approach are pointed out, based on two actual examples.

scholarly journals Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Amare Sewnet Minale ◽  
Kalkidan Alemu
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Satellite Image ◽  
Malaria Risk ◽  
Health Facilities ◽  
Geographical Information ◽  
Bahir Dar ◽  
Risk Map ◽  
Very High

The main objective of this study was to develop a malaria risk map for Bahir Dar City, Amhara, which is situated south of Lake Tana on the Ethiopian plateau. Rainfall, temperature, altitude, slope and land use/land cover (LULC), as well as proximity measures to lake, river and health facilities, were investigated using remote sensing and geographical information systems. The LULC variable was derived from a 2012 SPOT satellite image by supervised classification, while 30-m spatial resolution measurements of altitude and slope came from the Shuttle Radar Topography Mission. Metrological data were collected from the National Meteorological Agency, Bahir Dar branch. These separate datasets, represented as layers in the computer, were combined using weighted, multi-criteria evaluations. The outcome shows that rainfall, temperature, slope, elevation, distance from the lake and distance from the river influenced the malaria hazard the study area by 35%, 15%, 10%, 7%, 5% and 3%, respectively, resulting in a map showing five areas with different levels of malaria hazard: very high (11.2%); high (14.5%); moderate (63.3%); low (6%); and none (5%). The malaria risk map, based on this hazard map plus additional information on proximity to health facilities and current LULC conditions, shows that Bahir Dar City has areas with very high (15%); high (65%); moderate (8%); and low (5%) levels of malaria risk, with only 2% of the land completely riskfree. Such risk maps are essential for planning, implementing, monitoring and evaluating disease control as well as for contemplating prevention and elimination of epidemiological hazards from endemic areas.

PROBLEMATIC ISSUES OF THE GEOGRAPHIC INFORMATION SYSTEMS USE IN SOCIO-HYGIENIC MONITORING AND RISK-BASED SUPERVISION

2019 ◽  
pp. 31-36 ◽  
Author(s):  
Е.М. Studenikina ◽  
Yu.I. Stepkin ◽  
O.V. Klepikov ◽  
I.V. Kolnet ◽  
L.V. Popova
Keyword(s):  
Information Systems ◽  
Technology Implementation ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Electronic Library ◽  
Information Portal ◽  
Software Products ◽  
Stage Of Development ◽  
Software Product ◽  
Information Systems Use

The paper considers the problematic issues of the geographical information systems (GIS) use in the sociohygienic monitoring (SHM). We analyzed scientific and practical publications on this subject that are freely available on the largest Russian information portal of scientific electronic library eLIBRARY.RU during 2014- 2018, which allowed us to formulate the principles of organization and requirements for effective operation of geographic and information systems in the socio-hygienic monitoring. An analysis of the implementation of these principles at the present stage of development for the socio-hygienic monitoring system is presented, the results of which were used in formulating priority tasks in the area of geographic and information technology implementation into socio-hygienic monitoring and risk-based planning of control and supervisory measures: to determine the necessary level of detail and an information list depicted on electronic maps for the implementation of risk-based control planning; to provide organizational and regulatory and methodological support for the hierarchical principle of GIS within Rospotrebnadzor operating on a single software product of domestic developers for organizations and institutions; to work out the need to combine GIS with similar systems of other departments involved in the data collection of social and hygienic monitoring (Rosstat, Roshydromet, Rosprirodnadzor, Ministry of Health, etc.) to enable automated data export and import; to solve staffing issues to ensure customization and subsequent GIS operation; to provide budget funding for the purchase of licensed software products for GIS in SHM, preferably of Russian developers.

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