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    Wyświetlanie 1-3 z 3
    Tytuł:
    The Potential Contribution of Earth Observation Data Cubes for the Production of Information for Sustainable Development in Emerging Countries
    Autorzy:
    Merodio Gómez, Paloma
    Ramírez Santiago, Andrea
    Juárez Carrillo, Olivia Jimena
    Jiménez Nava, Francisco Javier
    Powiązania:
    https://bibliotekanauki.pl/articles/2105515.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    Earth observation
    Geospatial Data Cube
    satellite imagery
    Sustainable Development Goals
    emerging countries
    Opis:
    One of the great challenges of achieving the shared vision of the 2030 Agenda for Sustainable Development is having high-quality, timely, comparable, and accessible data that allows to measure and report progress on the Sustainable Development Goals (SDG). Hence, in many countries, geospatial information (including Earth observation) and algorithms implemented in cloud computing platforms have become important tools to monitor indicators of the SDG thanks to their broad accessibility and global coverage. However, emerging countries still face barriers to the implementation of technologies to manage the large amounts of EO data. This article aims to show the advantages of satellite-based EO in the measurement of SDG indicators, as well as challenges emerging countries face in the use of these technological tools. It addresses why the open-source tool Open Data Cube (ODC) should be seen as a response to the said challenges. Finally, there is a description regarding the experience of Mexico with the use and application of this tool for the measurement of SDG indicators, from the development and implementation of the Mexican Geospatial Data Cube (MGDC) to the results obtained from its application in the support for the measurement of SDG indicators 6.6.1 Change in the extent of water-related ecosystems over time and 15.1.1 Forest area as a proportion of total land area.
    Źródło:
    Geomatics and Environmental Engineering; 2022, 16, 3; 131--155
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sparse data classifier based on first-past-the-post voting system
    Autorzy:
    Cudak, Magdalena
    Piech, Mateusz
    Marcjan, Robert
    Powiązania:
    https://bibliotekanauki.pl/articles/27312911.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    POI
    machine learning
    geospatial data
    data science
    first-past-the-post
    random forest
    point of interest
    Opis:
    A point of interest (POI) is a general term for objects that describe places from the real world. The concept of POI matching (i.e., determining whether two sets of attributes represent the same location) is not a trivial challenge due to the large variety of data sources. The representations of POIs may vary depending on the basis of how they are stored. A manual comparison of objects is not achievable in real time; therefore, there are multiple solutions for automatic merging. However, there is no yet the efficient solution solves the missing of the attributes. In this paper, we propose a multi-layered hybrid classifier that is composed of machine-learning and deep-learning techniques and supported by a first-past-the-post voting system. We examined different weights for the constituencies that were taken into consideration during a majority (or supermajority) decision. As a result, we achieved slightly higher accuracy than the best current model (random forest), which also is based on voting.
    Źródło:
    Computer Science; 2022, 23 (2); 277--296
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation of GIS Application for Water Company Needs
    Autorzy:
    Mickrenska-Cherneva, Christina
    Mladenov, Radoslav
    Powiązania:
    https://bibliotekanauki.pl/articles/1837990.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    GIS
    underground utility infrastructure
    underground utility facilities
    industrial models
    geospatial data
    spatial registration of utility infrastructure data
    Opis:
    The process of designing and implementing industrial models (or GIS) for underground utility infrastructure (UUI) includes a number of activities related to the analysis of source data to identify objects, pre processing the initial data, creating spatial database and development of relevant graphic (maps) and text (registers) products. Nowadays, every organization needs to be flexible and able to respond in a timely and adequate manner to the changes that occur in a complex and dynamic external environment. This is the reason why the paper proposes an approach for the design and development of a geoinformation system (GIS), through the capabilities of modern software for a part of the water supply and sewerage network for the needs of Water Supply and Sewerage Berkovitsa LTD. The purpose of the paper and GIS for maintaining data on UUI is to provide access to digital data for underground utility infrastructure and their characteristics, as well as to assist in the easy creation of references to underground utility infrastructure data in digital and graphic form.
    Źródło:
    Geomatics and Environmental Engineering; 2020, 14, 4; 47-56
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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