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1
Content available remote Dane topo i meteo ważne jak broń
EN
Nowadays volunteered geographic information (VGI) and collaborative mapping projects such as OpenStreetMap (OSM) have gained popularity as they not only offer free data but also allow crowdsourced contributions. Spatial data entry in this manner creates quality concerns for further use of the VGI data. In this regard, this article focuses on the assessments of geometric and semantic quality of the OSM building features (BFs) against a large-scale topographic (TOPO) data belonging to some areas of Istanbul. The comparison is carried out based on the one-to-one matched BFs according to a geometric matching ratio. In geometric terms, various parameters of position (i.e. X, Y), size (i.e. area, perimeter and granularity), shape (i.e. convexity, circularity, elongation, equivalent rectangular index, rectangularity and roughness index), and orientation (i.e. orientation angle) elements are computed and compared. In semantic terms, BF type coherences are evaluated. According to the findings of geometric quality, the average positional difference was less than three meters. In addition, the perimeter values tended to decrease while area and granularity values tended to increase in OSM data against TOPO data. Those showed that the level of the detail of the OSM BFs was lower than TOPO BFs in general. This was also confirmed by the decreasing tendency of shape complexity according to the parameters of shape element. Orientation angle differences was often low except for some special cases. It was found that the scale of the OSM dataset, even though not homogenous, approximately corresponded to the lower limit of medium scale maps (i.e. 1:10,000) or a slightly smaller scale. According to the findings of semantic quality, in case of the presence of specific type definition, the coherence was rather high between OSM and TOPO BFs while the most OSM BFs did not have a specific type attribute. This study showed that the matching process needed some improvements while the followed approach was largely successful in the evaluation of the matched buildings from geometric and semantic aspects.
EN
Population data are generally provided by state census organisations at the predefined census enumeration units. However, these datasets very are often required at userdefined spatial units that differ from the census output levels. A number of population estimation techniques have been developed to address these problems. This article is one of those attempts aimed at improving county level population estimates by using spatial disaggregation models with support of buildings characteristic, derived from national topographic database, and average area of a flat. The experimental gridded population surface was created for Opatów county, sparsely populated rural region located in Central Poland. The method relies on geolocation of population counts in buildings, taking into account the building volume and structural building type and then aggregation the people total in 1 km quadrilateral grid. The overall quality of population distribution surface expressed by the mean of RMSE equals 9 persons, and the MAE equals 0.01. We also discovered that nearly 20% of total county area is unpopulated and 80% of people lived on 33% of the county territory.
PL
W artykule przedstawiono zjawisko pozyskiwania danych przestrzennych przez osoby nie będące profesjonalistami na przykładzie projektu OpenStreetMap. Dzięki technologii Web 2.0 głównymi twórcami tego przestrzennego serwisu internetowego są jego użytkownicy. Obserwowany w ostatnich latach wzrost zainteresowania społeczeństwa informacją geograficzną przyczynił się do powstania terminu „volunteered geographic information” (VGI), przez który należy rozumieć dane przestrzenne pozyskane przez użytkowników Internetu. Zjawisko, opisywane tylko w literaturze zagranicznej, nabiera coraz większego znaczenia również w Polsce. W artykule poddano ocenie wzrost treści i jakości danych przestrzennych z projektu OpenStreetMap w latach 2014-2015, a także porównano szczegółowość oraz ilość pozyskiwanych danych w odniesieniu do jednostek podziału terytorialnego kraju. Na podstawie otrzymanych wyników, wnioskowano o zaangażowaniu w tworzenie danych przestrzennych, użytkowników z różnych regionów Polski. Ponadto dane z OpenStreetMap porównano ze zbiorami danych przestrzennych wchodzącymi w skład Zasobu Geodezyjnego i Kartograficznego – BDOT10k i BDOO.
EN
The article presents the phenomenon of spatial data acquisition by non-professionals using the example of the OpenStreetMap project. Thanks to Web 2.0 technology the main creators of this web service are its users. An increased interest in geographic information has been observed recently. It contributed to the creation of the term „volunteered geographic information” (VGI), which should be understood as the spatial data acquired by Internet users. The phenomenon, described only in foreign literature, is becoming increasingly important also in Poland. The article assesses the growth of content and quality of spatial data from the OpenStreetMap project in the period 2014-2015, and compares the level of detail and the amount of data obtained in relation to territorial division units of the country. On the basis of the results commitment of Polish society to the creation of spatial data in different parts of Poland was concluded. In addition, OpenStreetMap data was compared with BDOT10k and BDOO, the spatial datasets included in the Polish spatial data infrastructure.
PL
Przedstawiony problem w pełni potwierdza celowość budowy Bazy Danych Obiektów Topograficznych i konieczności utrzymania jej wysokiej jakości poprzez aktualizację i dbałość o prawidłowy model danych. Wykorzystanie BDOT dla oceny ryzyka powodziowego nie jest zadaniem jednorazowym, jest procesem, który wymaga opracowania standardów postępowania i konsekwentnej realizacji w wymiarze: budowy samej bazy - jednolitej co do standardów na obszarze kraju i dostosowanej do lokalnej specyfiki w wymiarze regionalnym i lokalnym, utrzymywania i modernizacji tej bazy, których cechą musi być zasada wprowadzania zawsze informacji zweryfikowanej, niezależnie czy bazę budujemy, czy rozbudowujemy, czy też w końcu modernizujemy, rozszerzając także jej zakres informacyjny, wykorzystania: (1) na bieżąco w sytuacjach kryzysowych, (2) prewencyjnie dla potrzeb ograniczenia zagrożenia i (3) dla modernizacji i rozbudowy istniejącego systemu ochrony przed powodzią. Powyższe założenia muszą być uznane za nadrzędne w stosunku do założonej cykliczności (co 6 lat) w zakresie kontroli i aktualizacji produktów związanych z oceną ryzyka powodziowego i zarządzaniem nim, zgodnie z dyrektywą powodziową.
EN
The paper deals with the type and spatial integration of information and data for the needs of flood risk assessment and flood risk vulnerability classification. The Topographic Objects Database (BDOT) integrating the elements of flood risk provides the basis for analysis and estimation. In the paper, the following three issues are addressed: (1) classification of information from BDOT in the context of flood risk definition and analysis with separation of information about (a) buildings and the number of inhabitants under flood hazard, (b) land use and (c) objects under special protection; (2) first level of data base integration according to type and space in the context of flood risk type and value; (3) spatial data integration for flood risk management. The above given issues are presented in the context of flood risk vulnerability with regard to the elements of flood risk management, taking into account protection against flood and emergency response.
6
Content available remote W obie strony
EN
The paper presents the results of a study on the accuracy of the SRTM band C topography data product (defined in this paper as DTM.C, pronounced as dtm-dot-c), conducted over two selected sites in Australia and Brunei Darussalam. The DTM.C was compared against accurate DTMs developed from 1m (Australian site) and 10m (Brunei site) contours. Land cover data derived from aerial photographs and forestry maps were also used in this study. The discrepancy between DTM.C and DTM allowed the development of an accuracy statement which takes into an account "vegetation" noise caused by the vegetation impenetrability of the band C electromagnetic waves. It was found that the site specific accuracy of the DTM.C could be characterised by a vertical, positive shift equal to 9.8m and 8.3m, and the height error: :ł 11.5m and :ł 18.7m (at 90% confidence level), for the Australian and Brunei sites, respectively. These values agree with the performance requirements for the SRTM data products [4], and could be accepted as a realistic accuracy statement, if DTM. C is used as a surrogate for a DTM over an area of interests.
8
Content available remote Zgodnie z TBD
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