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Land Use Simulation of Shanghai Based on Multi-source Data Integration

Bai, Yundan / Li, Fayun / Yu, Weiyu

With the continuous improvement of big data mining technology, massive and multi-source land use spatio-temporal big data began to emerge. Big data thinking plays an increasingly important role in ecological monitoring, smart city construction, public safety and support for major decisions. Taking Shanghai as an example, this paper integrates ESA CCI, GlobeLand 30 and MODIS data by voting method, and inputs MCE-CA-Markov model to obtain more accurate prediction results. This study provides a new simulation thinking, which can provide ideas for the prediction of Shanghai and other similar cities.

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Land Use Simulation of Shanghai Based on Multi-source Data Integration

Bai, Yundan / Li, Fayun / Yu, Weiyu

With the continuous improvement of big data mining technology, massive and multi-source land use spatio-temporal big data began to emerge. Big data thinking plays an increasingly important role in ecological monitoring, smart city construction, public safety and support for major decisions. Taking Shanghai as an example, this paper integrates ESA CCI, GlobeLand 30 and MODIS data by voting method, and inputs MCE-CA-Markov model to obtain more accurate prediction results. This study provides a new simulation thinking, which can provide ideas for the prediction of Shanghai and other similar cities.

Land Use Simulation of Shanghai Based on Multi-source Data Integration

Bai, Yundan / Li, Fayun / Yu, Weiyu

With the continuous improvement of big data mining technology, massive and multi-source land use spatio-temporal big data began to emerge. Big data thinking plays an increasingly important role in ecological monitoring, smart city construction, public safety and support for major decisions. Taking Shanghai as an example, this paper integrates ESA CCI, GlobeLand 30 and MODIS data by voting method, and inputs MCE-CA-Markov model to obtain more accurate prediction results. This study provides a new simulation thinking, which can provide ideas for the prediction of Shanghai and other similar cities.

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Title:

Land Use Simulation of Shanghai Based on Multi-source Data Integration

Additional title:

Atlantis Highlights in Engineering

Contributors:

Xiang, Ping (editor) / Yang, Haifeng (editor) / Yan, Jianwei (editor) / Ding, Faxing (editor) / Bai, Yundan (author) / Li, Fayun (author) / Yu, Weiyu (author)

Conference:

International Conference on Hydraulic, Civil and Construction Engineering ; 2023 ; Changsha, China

Published in:

Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023) ; Chapter: 65 ; 666-673

Atlantis Highlights in Engineering ; 26

Publication date:

2024-04-24

Size:

8 pages

ISBN:

978-94-6463-398-6 , 978-94-6463-397-9

ISSN:

2589-4943 , 2731-7927

DOI:

https://doi.org/10.2991/978-94-6463-398-6_65

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

multi-source data , land use simulation , integration Engineering , Civil Engineering , Geoengineering, Foundations, Hydraulics

Licence:

http://creativecommons.org/licenses/by-nc/4.0/

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