Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model
Taking representative <i>Tamarix chinensis</i> forest in the national-level special protection zone for ocean ecology of Changyi city in Shandong province of China as the objective, this research studied how to use remote sensing technology to evaluate natural eco-environment and analyze...
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MDPI AG
2022-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/13/5052 |
| _version_ | 1797441832199651328 |
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| author | Jin Wang Guangxue Li Feiyong Chen |
| author_facet | Jin Wang Guangxue Li Feiyong Chen |
| author_sort | Jin Wang |
| collection | DOAJ |
| description | Taking representative <i>Tamarix chinensis</i> forest in the national-level special protection zone for ocean ecology of Changyi city in Shandong province of China as the objective, this research studied how to use remote sensing technology to evaluate natural eco-environment and analyze spatiotemporal variation. In the process of constructing the index system of ecological environment effect evaluation based on RSEI (Remote Sensing Ecological Index) model, AOD (Aerosol Optical Depth), Salinity, Greenness, Wetness, Heat and Dryness, which can represent the ecological environment of the reserve, were selected as the corresponding indexes. In order to accurately obtain the value of the RSEI of the study area and to retain the information of the original indexes to the greatest extent, the SPCA (spatial principal components analysis) method was applied in this research. Finally, the RSEI was applied to evaluate the ecological and environmental effects and to analyze the spatial characteristics and spatiotemporal evolution of the study area. The results not only provide scientific evidence and technical guidance for the protection, transformation and management of the <i>Tamarix chinensis</i> forest in the protection zone but also push the development of the universal model of the ecological environment quality with a remote sensing evaluation index system at a regional scale. |
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| format | Article |
| id | doaj.art-7a0ae3708f0447559b7f163d11964645 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T12:31:43Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7a0ae3708f0447559b7f163d119646452023-11-30T22:28:55ZengMDPI AGSensors1424-82202022-07-012213505210.3390/s22135052Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI ModelJin Wang0Guangxue Li1Feiyong Chen2Research Institute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan 250101, ChinaKey Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaResearch Institute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan 250101, ChinaTaking representative <i>Tamarix chinensis</i> forest in the national-level special protection zone for ocean ecology of Changyi city in Shandong province of China as the objective, this research studied how to use remote sensing technology to evaluate natural eco-environment and analyze spatiotemporal variation. In the process of constructing the index system of ecological environment effect evaluation based on RSEI (Remote Sensing Ecological Index) model, AOD (Aerosol Optical Depth), Salinity, Greenness, Wetness, Heat and Dryness, which can represent the ecological environment of the reserve, were selected as the corresponding indexes. In order to accurately obtain the value of the RSEI of the study area and to retain the information of the original indexes to the greatest extent, the SPCA (spatial principal components analysis) method was applied in this research. Finally, the RSEI was applied to evaluate the ecological and environmental effects and to analyze the spatial characteristics and spatiotemporal evolution of the study area. The results not only provide scientific evidence and technical guidance for the protection, transformation and management of the <i>Tamarix chinensis</i> forest in the protection zone but also push the development of the universal model of the ecological environment quality with a remote sensing evaluation index system at a regional scale.https://www.mdpi.com/1424-8220/22/13/5052remote sensingtamarix foresteco-environment effectcomprehensive evaluationspatial analysisChangyi |
| spellingShingle | Jin Wang Guangxue Li Feiyong Chen Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model Sensors remote sensing tamarix forest eco-environment effect comprehensive evaluation spatial analysis Changyi |
| title | Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model |
| title_full | Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model |
| title_fullStr | Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model |
| title_full_unstemmed | Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model |
| title_short | Eco-Environmental Effect Evaluation of <i>Tamarix chinesis</i> Forest on Coastal Saline-Alkali Land Based on RSEI Model |
| title_sort | eco environmental effect evaluation of i tamarix chinesis i forest on coastal saline alkali land based on rsei model |
| topic | remote sensing tamarix forest eco-environment effect comprehensive evaluation spatial analysis Changyi |
| url | https://www.mdpi.com/1424-8220/22/13/5052 |
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