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Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation

Through a comprehensive theoretical basis and actual test analysis of the application system design and functional efficiency of the cloud platform, this paper puts forward an artificial intelligence environmental data monitoring and wetland environmental simulation method based on GIS remote sensin...

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Detalles Bibliográficos
Autores principales: Cheng, Qian, Dang, C. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444354/
https://www.ncbi.nlm.nih.gov/pubmed/36072746
http://dx.doi.org/10.1155/2022/7886358
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author Cheng, Qian
Dang, C. N.
author_facet Cheng, Qian
Dang, C. N.
author_sort Cheng, Qian
collection PubMed
description Through a comprehensive theoretical basis and actual test analysis of the application system design and functional efficiency of the cloud platform, this paper puts forward an artificial intelligence environmental data monitoring and wetland environmental simulation method based on GIS remote sensing images. First, the basic storage and computing functions have been enhanced at the physical layer. Second, the middleware layer is more flexible in the use of management methods and strategies. There are many strategies and methods that can be used in combination. Finally, based on this, the application system design framework is more convenient and faster so that you can focus on business logic, and the strategic advantages of certain functions are very obvious. The method of object-oriented classification and visual interpretation using UAV image data and satellite remote sensing images from the typical recovery area and treatment area of wetland from 2016 to 2020 is given in detail together to extract wetland information and use GIS software for dynamic calculation. Using the wetland transmission matrix method, the distribution map of the characteristic types of the survey areas in the four periods and the conversion status of the characteristic types at each stage were obtained, and the effect of wetland treatment was quantitatively studied.
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spelling pubmed-94443542022-09-06 Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation Cheng, Qian Dang, C. N. Comput Intell Neurosci Research Article Through a comprehensive theoretical basis and actual test analysis of the application system design and functional efficiency of the cloud platform, this paper puts forward an artificial intelligence environmental data monitoring and wetland environmental simulation method based on GIS remote sensing images. First, the basic storage and computing functions have been enhanced at the physical layer. Second, the middleware layer is more flexible in the use of management methods and strategies. There are many strategies and methods that can be used in combination. Finally, based on this, the application system design framework is more convenient and faster so that you can focus on business logic, and the strategic advantages of certain functions are very obvious. The method of object-oriented classification and visual interpretation using UAV image data and satellite remote sensing images from the typical recovery area and treatment area of wetland from 2016 to 2020 is given in detail together to extract wetland information and use GIS software for dynamic calculation. Using the wetland transmission matrix method, the distribution map of the characteristic types of the survey areas in the four periods and the conversion status of the characteristic types at each stage were obtained, and the effect of wetland treatment was quantitatively studied. Hindawi 2022-08-29 /pmc/articles/PMC9444354/ /pubmed/36072746 http://dx.doi.org/10.1155/2022/7886358 Text en Copyright © 2022 Qian Cheng and C.N. Dang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cheng, Qian
Dang, C. N.
Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation
title Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation
title_full Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation
title_fullStr Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation
title_full_unstemmed Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation
title_short Using GIS Remote Sensing Image Data for Wetland Monitoring and Environmental Simulation
title_sort using gis remote sensing image data for wetland monitoring and environmental simulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444354/
https://www.ncbi.nlm.nih.gov/pubmed/36072746
http://dx.doi.org/10.1155/2022/7886358
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