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Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation

In order to study a big data technology research for the evaluation of wetland resource ecosystem value. This paper proposes a wetland dimension oriented to the evaluation of wetland ecosystem services space attribute through big data coupling analysis framework. The framework used China's coas...

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Detalles Bibliográficos
Autor principal: Fan, Lifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170450/
https://www.ncbi.nlm.nih.gov/pubmed/35676946
http://dx.doi.org/10.1155/2022/6815102
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author Fan, Lifang
author_facet Fan, Lifang
author_sort Fan, Lifang
collection PubMed
description In order to study a big data technology research for the evaluation of wetland resource ecosystem value. This paper proposes a wetland dimension oriented to the evaluation of wetland ecosystem services space attribute through big data coupling analysis framework. The framework used China's coastal wetlands as a case for empirical research and summarized the future direction of the research on the value evaluation of wetland ecosystem services in the era of big data. The result shows: Wetland Ecosystem Observation Network can obtain long-term series of dynamic data, remote sensing Earth observation can realize the integrated observation of space, space, and Earth, the combination of the two will help to build a wetland ecological big data observation system. The service value of China's coastal wetland ecosystem is 5010.32 × 108 yuan. The research results can effectively solve the problem of geographical heterogeneity and have reference value for the protection and management of the wetland ecosystem.
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spelling pubmed-91704502022-06-07 Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation Fan, Lifang Comput Intell Neurosci Research Article In order to study a big data technology research for the evaluation of wetland resource ecosystem value. This paper proposes a wetland dimension oriented to the evaluation of wetland ecosystem services space attribute through big data coupling analysis framework. The framework used China's coastal wetlands as a case for empirical research and summarized the future direction of the research on the value evaluation of wetland ecosystem services in the era of big data. The result shows: Wetland Ecosystem Observation Network can obtain long-term series of dynamic data, remote sensing Earth observation can realize the integrated observation of space, space, and Earth, the combination of the two will help to build a wetland ecological big data observation system. The service value of China's coastal wetland ecosystem is 5010.32 × 108 yuan. The research results can effectively solve the problem of geographical heterogeneity and have reference value for the protection and management of the wetland ecosystem. Hindawi 2022-05-30 /pmc/articles/PMC9170450/ /pubmed/35676946 http://dx.doi.org/10.1155/2022/6815102 Text en Copyright © 2022 Lifang Fan. 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
Fan, Lifang
Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation
title Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation
title_full Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation
title_fullStr Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation
title_full_unstemmed Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation
title_short Big Data Technology Oriented to Wetland Resource Ecosystem Value Evaluation
title_sort big data technology oriented to wetland resource ecosystem value evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170450/
https://www.ncbi.nlm.nih.gov/pubmed/35676946
http://dx.doi.org/10.1155/2022/6815102
work_keys_str_mv AT fanlifang bigdatatechnologyorientedtowetlandresourceecosystemvalueevaluation