scholarly journals OpenStreetMap land cover data quality assessment on the example of Lower Silesia Voivodship, Poland

2018 ◽  
Vol 71 ◽  
pp. 00016
Author(s):  
Jakub Łuczak
Keyword(s):  
Information System ◽  
Land Cover ◽  
Reference Data ◽  
Geographic Information ◽  
Spatial Analyses ◽  
Land Cover Data ◽  
Data Quality Assessment ◽  
The World ◽  
Lower Silesia

OpenStreetMap (OSM) is an open source, freely available spatial database, co-created by users from around the world in the idea of volunteered geographic information. The functioning of the project as an open community geographic information system is its great advantage, however, it is associated with many flaws, like heterogeneity of collected data. The presented work focuses on the assessment of completeness and quality of land cover data. The reference data used in analysis were objects stored in the Baza Danych Obiektów Topograficznych (BDOT10k), which is an element of the Polish National Geodetic and Cartographic Resource. The analysis was carried out for the area of the Lower Silesia Voivodship. Despite the achievement of quite unsatisfactory results of the analysis, OpenStreetMap project has information potential and is useful in selected spatial analyses.

scholarly journals The choice of optimal sites for controlled landfill using the Analytical Hierarchy Process and the Geographic Information System: A case of Oum Azza in Morocco

2021 ◽  
Vol 234 ◽  
pp. 00066
Author(s):  
Ahmed Ait Errouhi ◽  
Jihane Gharib ◽  
Yassir Bouroumine ◽  
Anas Bahi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Waste Management ◽  
Geographic Information ◽  
Waste Hierarchy ◽  
Institutional Economic ◽  
System A ◽  
Exponential Increase ◽  
Hierarchy Process

Depending on the technical, institutional, economic and social limits of developing countries, as well as the population density in cities, nowadays, the volume of urban waste has increased considerably, and the management of this waste contributes to climate change, and air pollution, it directly affects many ecosystems and many species. Waste management faces serious problems such as irregular collection, informal sweeping activities, uncontrolled dumping and proliferation of illegal dumping. The latter constitute a real and permanent threat to the quality of life, this exponential increase in the urban population and the resulting accelerated phenomenon of urbanization have highlighted the need to develop sustainable and efficient waste management systems. Stakeholders are therefore required to consider alternative and available means of disposal, in particular by minimizing the damage caused to the ecosystem and to the human population, among these means of disposal, controlled landfills, considered as the last option in the waste hierarchy. In this study, attempts were made to locate a new landfill in Oum Azza using the AHP multi-criteria decision-making method to assess the different criteria considered during the prospecting and combining them with the geographic information system to acquire the results in the form of maps displayed on the optimal sites to house a new controlled landfill and minimize its terrible impact on the environment.

Improving road network databases by integrating a geographic information system and digital imagery

2008 ◽  
Vol 35 (2) ◽  
pp. 170-178 ◽  
Author(s):  
M. Abdalla ◽  
Said M. Easa
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Road Network ◽  
Geographic Information ◽  
Integrated System ◽  
High Data ◽  
Road Lighting ◽  
Safety Performance Functions ◽  
Collection Cost

Road lighting information is an important record in road network databases. It has been frequently observed that such data are either missing or not updated due to the high data collection cost using traditional methods. This paper presents a new methodology for identifying and (or) resolving missing and conflicting road lighting data in road network databases. The methodology is based on: (i) integrating the single-line road network (SLRN) in a geographic information system format with a road network database and (ii) integrating the SLRN with a collision database. Missing and conflicting lighting data are resolved using a semi-automatic method for extracting streetlight pole information. The integrated system can also identify inconsistencies related to short segments and segments with mixed illumination characteristics. Inconsistencies in the traffic volume database were also examined and the effect of data inconsistency on safety performance functions was evaluated. The proposed methodology represents an inexpensive, efficient tool for improving the quality of road network databases and associated road safety analysis.

scholarly journals The Analysis of Forest Land Cover Change And Area Determination of Land Rehabilitation Based on Geographic Information System in Magelang Regency

2018 ◽  
Vol 73 ◽  
pp. 03004
Author(s):  
Lidya Ernawati ◽  
Sutrisno Anggoro
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Cover ◽  
Land Cover Change ◽  
Geographic Information ◽  
Forest Land ◽  
Land Rehabilitation ◽  
Forest Land Cover ◽  
Area Determination

Population increased has consequences for the economic development of land demands for agriculture, settlement and other infrastructure. This resulted the change of area land cover which impact on the climate change and decline the environmental quality. Therefore, it is necessary to improve the environment through the land rehabilitation activities. The analysis of land cover change is needed as the first step to identify areas targeted by the land rehabilitation. Geographic information system is used as a spatial based on the appropriate determination of rehabilitation activities

Geographic Information System (GIS)-Based Mapping and Spatial Analyses Applied to Risk Assessment and Resource Allocation for Boll Weevil (Coleoptera: Curculionidae) Detection

2020 ◽  
Vol 113 (2) ◽  
pp. 71-78
Author(s):  
Michael J Brewer ◽  
Leonel Deleon ◽  
Isaac L Esquivel
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Rio Grande ◽  
Boll Weevil ◽  
Geographic Information ◽  
Spatial Analyses ◽  
Eastern United States ◽  
Lower Rio Grande Valley ◽  
Landscape Features ◽  
Data Layers

Abstract Boll weevil, Anthonomous grandis grandis Boheman first invaded U.S. cotton in Texas in the late 1800s, and spread throughout U.S. cotton-growing regions by the 1920s. Boll weevil eradication efforts initiated in the eastern United States in the 1980s resulted in its elimination except in the southernmost region of Texas and adjoining areas of Mexico. We focused on geographic information system (GIS)-based mapping and spatial analyses of boll weevil trap data to consider whether landscape features were associated with spatially variable detections of boll weevils. Seven years of trap data were overlaid with data layers of vector-based classifications of cropland, transportation, and hydrological features. New boll weevil detections in 2018 were 108 km north of cotton fields in the Lower Rio Grande Valley (LRGV) where more persistent detections occurred. Focusing on LRGV data, 14 of 24 correlations of number of boll weevil captures to nearest distances to selected landscape features were negative. In follow-up analyses, best data fit was seen using stepwise regression. In 2010, waterbodies and watermelon fields were influential linear terms (partial R2 = 0.14 and 0.064, respectively; model R2 = 0.32). In 2014, the Rio Grande River as a linear term was influential (partial R2 = 0.15; model R2 = 0.24). Boll weevil captures tended to increase in closer proximity to these landscape features. Results of 2010 were consistent with expectations of remnant populations in the LRGV spreading locally, while 2014 results may reflect remnant populations or re-introductions from boll weevil moving longer distances into the LRGV.

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