Advancements in urban environmental studies: application of geospatial technology and artificial intelligence in urban studies
According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2023]
|
| Schriftenreihe: | GIScience and geo-environmental modelling
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| Schlagworte: | |
| Zusammenfassung: | According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificial intelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences |
| Beschreibung: | xxii, 478 Seiten Illustrationen, Diagramme, Karten 27 cm |
| ISBN: | 9783031215865 |
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| 245 | 1 | 0 | |a Advancements in urban environmental studies |b application of geospatial technology and artificial intelligence in urban studies |c Atiqur Rahman, Shouraseni Sen Roy, Swapan Talukdar, Shahfahad, editors |
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| 520 | 3 | |a According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificial intelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences | |
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| 700 | 1 | |a Talukdar, Swapan |4 edt | |
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| illustrated | Illustrated |
| index_date | 2024-07-03T22:11:59Z |
| indexdate | 2024-07-10T09:52:46Z |
| institution | BVB |
| isbn | 9783031215865 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034275368 |
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| physical | xxii, 478 Seiten Illustrationen, Diagramme, Karten 27 cm |
| psigel | UBM-RCC |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
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| series2 | GIScience and geo-environmental modelling |
| spelling | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies Atiqur Rahman, Shouraseni Sen Roy, Swapan Talukdar, Shahfahad, editors Cham Springer [2023] xxii, 478 Seiten Illustrationen, Diagramme, Karten 27 cm txt rdacontent sti rdacontent n rdamedia nc rdacarrier GIScience and geo-environmental modelling According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificial intelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences City planning / Data processing City planning / Geographic information systems City planning Geographic information systems Rahman, Atiqur 1971- (DE-588)122131159X edt Sen Roy, S. (DE-588)1146970455 edt Talukdar, Swapan edt Shahfahad (DE-588)1220300187 edt Erscheint auch als Online-Ausgabe 978-3-031-21587-2 |
| spellingShingle | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies |
| title | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies |
| title_auth | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies |
| title_exact_search | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies |
| title_exact_search_txtP | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies |
| title_full | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies Atiqur Rahman, Shouraseni Sen Roy, Swapan Talukdar, Shahfahad, editors |
| title_fullStr | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies Atiqur Rahman, Shouraseni Sen Roy, Swapan Talukdar, Shahfahad, editors |
| title_full_unstemmed | Advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies Atiqur Rahman, Shouraseni Sen Roy, Swapan Talukdar, Shahfahad, editors |
| title_short | Advancements in urban environmental studies |
| title_sort | advancements in urban environmental studies application of geospatial technology and artificial intelligence in urban studies |
| title_sub | application of geospatial technology and artificial intelligence in urban studies |
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