Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Elzbieta Bielecka"'
Publikováno v:
Advances in Geodesy and Geoinformation, Vol vol. 72, Iss No 1 (2023)
The purpose of this article was to provide the user with information about the number of buildings in the analyzed OpenStreetMap (OSM) dataset in the form of data completeness indicators, namely the standard OSM building areal completeness index (C I
Externí odkaz:
https://doaj.org/article/a6e1fa8027ad4c67a5f83f01e70459a9
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7525 (2023)
This study aims at a comparative analysis of quantitative data, namely, OSM and BDOT10k. Analyses were conducted in a 1 km2 hexagonal grid, in seven test counties located in different regions of Poland, differing in the degree of urbanization, land c
Externí odkaz:
https://doaj.org/article/dbec6e46880b42be91746fab41e951c8
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1074 (2022)
Indicator 11.3. 1 of the 2030 sustainable development goals (SDG) 11, i.e., the ratio of the land use to the population growth rate, is currently classified by the United Nations as a Tier II indicator, as there is a globally-accepted methodology for
Externí odkaz:
https://doaj.org/article/e84ce009c9d14d65b5bed23a0fcb04c9
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1440-1455 (2017)
Population density is one of the key parameters for assessing the magnitude of population exposed to risk, and the better quality data we have, the better the assessment of risk. The aim of this study is to elaborate a high-resolution spatially distr
Externí odkaz:
https://doaj.org/article/3f27231f6380412a912359d70bda0584
Publikováno v:
Resources, Vol 10, Iss 6, 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://doaj.org/article/45f91a41bd9943d8b6174ba25cc6834b
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 611 (2021)
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://doaj.org/article/0fa86ad49b91441ab9e4eac823913d2c
Autor:
Elzbieta Bielecka
Publikováno v:
Geosciences, Vol 10, Iss 11, p 421 (2020)
The paper aimed to express the cognitive and intellectual structure of research executed in the field of GIS-based land use change modeling. An exploration of the Web of Science database showed that research in GIS spatial analysis modeling for land
Externí odkaz:
https://doaj.org/article/6fece09149de4d84a2dac3f68b0af779
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2088 (2020)
Detecting land cover changes requires timely and accurate information, which can be assured by using remotely sensed data and Geographic Information System(GIS). This paper examines spatiotemporal trends in land cover changes in the Polish Baltic coa
Externí odkaz:
https://doaj.org/article/66fd636d9c294032b1a7e09cb642628b
Autor:
Beata Calka, Elzbieta Bielecka
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1105 (2020)
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://doaj.org/article/0c81fdc12e0942e383bbb05953352486
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 148 (2020)
Geodetic networks provide a spatial reference framework for the positioning of any geographical feature in a common and consistent way. An even spatial distribution of geodetic control points assures good quality for subordinate surveys in mapping, c
Externí odkaz:
https://doaj.org/article/054837cd670443c5ba0caa11adf78f57