Cargando…

A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining

In order to meet the requirements for comprehensive and multidimensional generalization of ecological management effectiveness evaluation indexes in the context of ecological restoration advocating comprehensive management by multiple means, this paper explores the rationality of using RSEI as an ec...

Descripción completa

Detalles Bibliográficos
Autores principales: Hao, Huichao, Lian, Zeke, Zhao, Jing, Wang, Hesong, He, Zhechen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303088/
https://www.ncbi.nlm.nih.gov/pubmed/35875751
http://dx.doi.org/10.1155/2022/5335419
_version_ 1784751775831556096
author Hao, Huichao
Lian, Zeke
Zhao, Jing
Wang, Hesong
He, Zhechen
author_facet Hao, Huichao
Lian, Zeke
Zhao, Jing
Wang, Hesong
He, Zhechen
author_sort Hao, Huichao
collection PubMed
description In order to meet the requirements for comprehensive and multidimensional generalization of ecological management effectiveness evaluation indexes in the context of ecological restoration advocating comprehensive management by multiple means, this paper explores the rationality of using RSEI as an ecological management effectiveness evaluation index to adapt to the systematic transformation of the management goal of abandoned mine restoration from ecological restoration to regional socioeconomic sustainable development. Based on Landsat-8 image data, the remote sensing ecological index (RSEI) was used to evaluate the dynamic changes and spatial and temporal differences of the ecological environment in the study area under the long-term multimeans comprehensive management. The RSEI is suitable for evaluating the effectiveness of comprehensive ecological management in mining areas with a large amount of bare soil. The regional RSEI mean value increased by 0.029 in the early stage and 0.051 in the later stage by fragmentation management, indicating a better effect of multimeans comprehensive management. The remote sensing ecological index can objectively reflect the difference of spatial distribution characteristics of ecological environment in the four “Ecological+” governance regions. It can both objectively reflect the ecological status of the study area and reflect the differentiated spatial distribution characteristics of the ecological environment in different treatment areas, which is of long-term practical significance to the ecological construction of the study area. This study provides a theoretical reference for ecological assessment of complex situation under difficult site conditions.
format Online
Article
Text
id pubmed-9303088
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-93030882022-07-22 A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining Hao, Huichao Lian, Zeke Zhao, Jing Wang, Hesong He, Zhechen Comput Intell Neurosci Research Article In order to meet the requirements for comprehensive and multidimensional generalization of ecological management effectiveness evaluation indexes in the context of ecological restoration advocating comprehensive management by multiple means, this paper explores the rationality of using RSEI as an ecological management effectiveness evaluation index to adapt to the systematic transformation of the management goal of abandoned mine restoration from ecological restoration to regional socioeconomic sustainable development. Based on Landsat-8 image data, the remote sensing ecological index (RSEI) was used to evaluate the dynamic changes and spatial and temporal differences of the ecological environment in the study area under the long-term multimeans comprehensive management. The RSEI is suitable for evaluating the effectiveness of comprehensive ecological management in mining areas with a large amount of bare soil. The regional RSEI mean value increased by 0.029 in the early stage and 0.051 in the later stage by fragmentation management, indicating a better effect of multimeans comprehensive management. The remote sensing ecological index can objectively reflect the difference of spatial distribution characteristics of ecological environment in the four “Ecological+” governance regions. It can both objectively reflect the ecological status of the study area and reflect the differentiated spatial distribution characteristics of the ecological environment in different treatment areas, which is of long-term practical significance to the ecological construction of the study area. This study provides a theoretical reference for ecological assessment of complex situation under difficult site conditions. Hindawi 2022-07-14 /pmc/articles/PMC9303088/ /pubmed/35875751 http://dx.doi.org/10.1155/2022/5335419 Text en Copyright © 2022 Huichao Hao et al. 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
Hao, Huichao
Lian, Zeke
Zhao, Jing
Wang, Hesong
He, Zhechen
A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining
title A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining
title_full A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining
title_fullStr A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining
title_full_unstemmed A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining
title_short A Remote-Sensing Ecological Index Approach for Restoration Assessment of Rare-Earth Elements Mining
title_sort remote-sensing ecological index approach for restoration assessment of rare-earth elements mining
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303088/
https://www.ncbi.nlm.nih.gov/pubmed/35875751
http://dx.doi.org/10.1155/2022/5335419
work_keys_str_mv AT haohuichao aremotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT lianzeke aremotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT zhaojing aremotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT wanghesong aremotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT hezhechen aremotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT haohuichao remotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT lianzeke remotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT zhaojing remotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT wanghesong remotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining
AT hezhechen remotesensingecologicalindexapproachforrestorationassessmentofrareearthelementsmining