RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543

Recently, Jia et al. employed the index, modified remote sensing ecological index (MRSEI), to evaluate the ecological quality of the Qaidam Basin, China. The MRSEI made a modification to the previous remote sensing-based ecological index (RSEI), which is a frequently used remote sensing technique fo...

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Main Authors: Hanqiu Xu, Weifang Duan, Wenhui Deng, Mengjing Lin
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/21/5307
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author Hanqiu Xu
Weifang Duan
Wenhui Deng
Mengjing Lin
author_facet Hanqiu Xu
Weifang Duan
Wenhui Deng
Mengjing Lin
author_sort Hanqiu Xu
collection DOAJ
description Recently, Jia et al. employed the index, modified remote sensing ecological index (MRSEI), to evaluate the ecological quality of the Qaidam Basin, China. The MRSEI made a modification to the previous remote sensing-based ecological index (RSEI), which is a frequently used remote sensing technique for evaluating regional ecological status. Based on the investigation of the ecological implications of the three principal components (PCs) derived from the principal component analysis (PCA) and the case study of the Qaidam Basin, this comment analyzed the rationality of the modification made to RSEI by MRSEI and compared MRSEI with RSEI. The analysis of the three PCs shows that the first principal component (PC1) has clear ecological implications, whereas the second principal component (PC2) and the third principal component (PC3) have not. Therefore, RSEI can only be constructed with PC1. However, MRSEI unreasonably added PC2 and PC3 into PC1 to construct the index. This resulted in the interference of each principal component. The addition also significantly reduced the weight of PC1 in the computation of MRSEI. The comparison results show that MRSEI does not improve RSEI, but causes the overestimation of the ecological quality of the Qaidam Basin. Therefore, the modification made by MRSEI is questionable and MRSEI is not recommended to be used for regional ecological quality evaluation.
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spelling doaj.art-6cf477377f7c4a19a569ad3b1ff50a472023-11-24T06:36:55ZengMDPI AGRemote Sensing2072-42922022-10-011421530710.3390/rs14215307RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543Hanqiu Xu0Weifang Duan1Wenhui Deng2Mengjing Lin3College of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou 350116, ChinaCollege of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou 350116, ChinaCollege of Environment and Safety Engineering, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou 350116, ChinaInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaRecently, Jia et al. employed the index, modified remote sensing ecological index (MRSEI), to evaluate the ecological quality of the Qaidam Basin, China. The MRSEI made a modification to the previous remote sensing-based ecological index (RSEI), which is a frequently used remote sensing technique for evaluating regional ecological status. Based on the investigation of the ecological implications of the three principal components (PCs) derived from the principal component analysis (PCA) and the case study of the Qaidam Basin, this comment analyzed the rationality of the modification made to RSEI by MRSEI and compared MRSEI with RSEI. The analysis of the three PCs shows that the first principal component (PC1) has clear ecological implications, whereas the second principal component (PC2) and the third principal component (PC3) have not. Therefore, RSEI can only be constructed with PC1. However, MRSEI unreasonably added PC2 and PC3 into PC1 to construct the index. This resulted in the interference of each principal component. The addition also significantly reduced the weight of PC1 in the computation of MRSEI. The comparison results show that MRSEI does not improve RSEI, but causes the overestimation of the ecological quality of the Qaidam Basin. Therefore, the modification made by MRSEI is questionable and MRSEI is not recommended to be used for regional ecological quality evaluation.https://www.mdpi.com/2072-4292/14/21/5307RSEIMRSEIprincipal components analysis (PCA)
spellingShingle Hanqiu Xu
Weifang Duan
Wenhui Deng
Mengjing Lin
RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543
Remote Sensing
RSEI
MRSEI
principal components analysis (PCA)
title RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543
title_full RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543
title_fullStr RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543
title_full_unstemmed RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543
title_short RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. <i>Remote Sens.</i> 2021, <i>13</i>, 4543
title_sort rsei or mrsei comment on jia et al evaluation of eco environmental quality in qaidam basin based on the ecological index mrsei and gee i remote sens i 2021 i 13 i 4543
topic RSEI
MRSEI
principal components analysis (PCA)
url https://www.mdpi.com/2072-4292/14/21/5307
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