Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Elżbieta Bielecka"'
Publikováno v:
Geodesy and Cartography, Vol vol. 67, Iss No 1 (2018)
Polish spatial data infrastructure dates back 2010, the year when the Spatial Information Infrastructure Act transposing INSPIRE Directive entered into force. The present study provides valuable insight into the current status of Polish spatial data
Externí odkaz:
https://doaj.org/article/37bef83048344bae94258af28775956f
Autor:
Elżbieta Bielecka
Publikováno v:
Geodetski Vestnik, Vol 59, Iss 2, Pp 335-348 (2015)
The large number of commonly available geographical data sets means that users of this data face a difficult choice in selecting the set that best meets their requirements. In theory, metadata is helpful in this, but many studies suggest that the met
Externí odkaz:
https://doaj.org/article/d2af699fe5e848468b35c1e9543aa614
Publikováno v:
Biuletyn Wojskowej Akademii Technicznej, Vol 63, Iss 2, Pp 103-115 (2014)
The limited amount of fossil fuels, their growing price on the market and progressive climatical changes last years caused that more attention have been focused on environment and the renewable sources of energy. This paper presents the results of th
Externí odkaz:
https://doaj.org/article/5dbb35d63d83491983b866bd38f1f8ee
Akademický článek
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Publikováno v:
Resources
Volume 10
Issue 6
Resources, Vol 10, Iss 62, p 62 (2021)
Volume 10
Issue 6
Resources, Vol 10, Iss 62, p 62 (2021)
The provision of detailed information on the impact of potential fluvial floods on urban population health, quantifying the impact magnitude and supplying the location of areas of the highest risk to human health, is an important step towards (a) imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a760c0a411f71e6208f952c9cd3d3f7c
Autor:
Elżbieta Bielecka, Elżbieta Burek
Publikováno v:
Open Geosciences, Vol 11, Iss 1, Pp 219-235 (2019)
Using the literature review and quantitative analysis, the research on the quality and uncertainty of spatial data have been compared and analysed according to years of publication, authors, document types, WoS categories, and countries. The paper po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aca1e46a7bef525db0765dea02d1e4b
https://doi.org/10.1515/geo-2019-0018
https://doi.org/10.1515/geo-2019-0018
Autor:
Dragoljub Sekulović, George Ch. Miliaresis, Ljubomir Gigović, Matjaž Mikoš, Ivan Pogarčić, Siniša Drobnjak, Metin Soycan, Elżbieta Bielecka, Matej Babič, Miłosz Huber, Wojciech Przegon, Marko Komac
Publikováno v:
Materials and Geoenvironment, Vol 66, Iss 1, Pp 13-25 (2019)
Many problems in the analysis of natural terrain surface shapes and the construction of terrain maps to model them remain unsolved. Almost the whole process of thematic interpretation of aerospace information consists of a step-by-step grouping and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bca8ec9ea68c284607fb98ae4d83bfc4
https://doaj.org/article/b11d63a6f61a4c26962c40074595548d
https://doaj.org/article/b11d63a6f61a4c26962c40074595548d
Publikováno v:
Remote Sensing, Vol 13, Iss 611, p 611 (2021)
Remote Sensing; Volume 13; Issue 4; Pages: 611
Remote Sensing; Volume 13; Issue 4; Pages: 611
Automatic building extraction from remote sensing data is a hot but challenging research topic for cadastre verification, modernization and updating. Deep learning algorithms are perceived as more promising in overcoming the difficulties of extractin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::343bfb6a1bd1e0eeefc02bfab80cb323
https://www.mdpi.com/2072-4292/13/4/611
https://www.mdpi.com/2072-4292/13/4/611
Publikováno v:
Proceedings of The 3rd International Electronic Conference on Geosciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fdd0a0310befd05f62a5b98d39170d
https://doi.org/10.3390/iecg2020-08904
https://doi.org/10.3390/iecg2020-08904
Autor:
Beata Calka, Elżbieta Bielecka
Publikováno v:
Remote Sensing, Vol 12, Iss 1105, p 1105 (2020)
Remote Sensing
Volume 12
Issue 7
Pages: 1105
Remote Sensing
Volume 12
Issue 7
Pages: 1105
The Global Human Settlement Population Grid (GHS-POP) the latest released global gridded population dataset based on remotely sensed data and developed by the EU Joint Research Centre, depicts the distribution and density of the total population as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddfa6f8b4a4cb4273c366ddf2fb1325a
https://www.mdpi.com/2072-4292/12/7/1105
https://www.mdpi.com/2072-4292/12/7/1105