Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020
AbstractTimely and objective assessment of the optimal season for the construction of remote sensing ecological index (RSEI) is of great significance for accurate and effective assessment of ecological environment quality. We manipulated RSEI in to monitor seasonal variations in ecological environme...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-01-01
|
| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2311224 |
| _version_ | 1797305640719220736 |
|---|---|
| author | Shaodong Huang Yujie Li Haowen Hu Pengcheng Xue Jia Wang |
| author_facet | Shaodong Huang Yujie Li Haowen Hu Pengcheng Xue Jia Wang |
| author_sort | Shaodong Huang |
| collection | DOAJ |
| description | AbstractTimely and objective assessment of the optimal season for the construction of remote sensing ecological index (RSEI) is of great significance for accurate and effective assessment of ecological environment quality. We manipulated RSEI in to monitor seasonal variations in ecological environment quality (EEQ) in the Beijing-Tianjin-Hebei (JJJ) region from 2001 to 2020. First, we evaluated image quality across all four seasons and filled in missing observations through liner interpolation. Second, Seasonal RSEI was constructed using MODIS and compared across different years. Third, temporal and spatial variations within the same seasons in EEQ. Additionally, Moran’s I was utilized to evaluate spatial autocorrelation of EEQ, and the stability of the correlation between RSEI and four indicators seasonal indicators was compared. The results showed that: 1) the PC1 component concentrates most of the characteristics of the four indicators, especially in summer (over 71%); 2) the Moran’ I in the summer of 2001, 2006, 2011, 2016 and 2020 are 0.909, 0.898, 0.917, 0.921 and 0.892, respectively, which indicated that the EEQ has a strong positive spatial correlation. 3) the correlation between the four indicators and summer RSEI showed high correlation in different years, and the standard deviation of the correlation between the four indicators and RSEI fluctuated most slightly in summer, which the std of NDVI, WET, LST and, NDBSI were 0.005, 0.052, 0.026 and 0.017, respectively. This study theoretically demonstrates that summer is the optimal season for constructing RSEI, filling the research gap in previous studies regarding the rationale for selecting images from periods of vigorous vegetation growth for RSEI construction, which can provide a reference for selecting the optimum season for the ecological quality monitoring of urban in the future. |
| first_indexed | 2024-03-08T00:28:53Z |
| format | Article |
| id | doaj.art-9b5ae2ea6aae45829aa432f471380f32 |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-03-08T00:28:53Z |
| publishDate | 2024-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-9b5ae2ea6aae45829aa432f471380f322024-02-15T14:01:40ZengTaylor & Francis GroupGeocarto International1010-60491752-07622024-01-0139110.1080/10106049.2024.2311224Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020Shaodong Huang0Yujie Li1Haowen Hu2Pengcheng Xue3Jia Wang4Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing, ChinaBeijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing, ChinaBeijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing, ChinaBeijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing, ChinaBeijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing, ChinaAbstractTimely and objective assessment of the optimal season for the construction of remote sensing ecological index (RSEI) is of great significance for accurate and effective assessment of ecological environment quality. We manipulated RSEI in to monitor seasonal variations in ecological environment quality (EEQ) in the Beijing-Tianjin-Hebei (JJJ) region from 2001 to 2020. First, we evaluated image quality across all four seasons and filled in missing observations through liner interpolation. Second, Seasonal RSEI was constructed using MODIS and compared across different years. Third, temporal and spatial variations within the same seasons in EEQ. Additionally, Moran’s I was utilized to evaluate spatial autocorrelation of EEQ, and the stability of the correlation between RSEI and four indicators seasonal indicators was compared. The results showed that: 1) the PC1 component concentrates most of the characteristics of the four indicators, especially in summer (over 71%); 2) the Moran’ I in the summer of 2001, 2006, 2011, 2016 and 2020 are 0.909, 0.898, 0.917, 0.921 and 0.892, respectively, which indicated that the EEQ has a strong positive spatial correlation. 3) the correlation between the four indicators and summer RSEI showed high correlation in different years, and the standard deviation of the correlation between the four indicators and RSEI fluctuated most slightly in summer, which the std of NDVI, WET, LST and, NDBSI were 0.005, 0.052, 0.026 and 0.017, respectively. This study theoretically demonstrates that summer is the optimal season for constructing RSEI, filling the research gap in previous studies regarding the rationale for selecting images from periods of vigorous vegetation growth for RSEI construction, which can provide a reference for selecting the optimum season for the ecological quality monitoring of urban in the future.https://www.tandfonline.com/doi/10.1080/10106049.2024.2311224Optimum seasonal selectionseasonal RSEIJJJ regionspatiotemporal changescorrelation analysis |
| spellingShingle | Shaodong Huang Yujie Li Haowen Hu Pengcheng Xue Jia Wang Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 Geocarto International Optimum seasonal selection seasonal RSEI JJJ region spatiotemporal changes correlation analysis |
| title | Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 |
| title_full | Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 |
| title_fullStr | Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 |
| title_full_unstemmed | Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 |
| title_short | Assessment of optimal seasonal selection for RSEI construction: a case study of ecological environment quality assessment in the Beijing-Tianjin-Hebei region from 2001 to 2020 |
| title_sort | assessment of optimal seasonal selection for rsei construction a case study of ecological environment quality assessment in the beijing tianjin hebei region from 2001 to 2020 |
| topic | Optimum seasonal selection seasonal RSEI JJJ region spatiotemporal changes correlation analysis |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2024.2311224 |
| work_keys_str_mv | AT shaodonghuang assessmentofoptimalseasonalselectionforrseiconstructionacasestudyofecologicalenvironmentqualityassessmentinthebeijingtianjinhebeiregionfrom2001to2020 AT yujieli assessmentofoptimalseasonalselectionforrseiconstructionacasestudyofecologicalenvironmentqualityassessmentinthebeijingtianjinhebeiregionfrom2001to2020 AT haowenhu assessmentofoptimalseasonalselectionforrseiconstructionacasestudyofecologicalenvironmentqualityassessmentinthebeijingtianjinhebeiregionfrom2001to2020 AT pengchengxue assessmentofoptimalseasonalselectionforrseiconstructionacasestudyofecologicalenvironmentqualityassessmentinthebeijingtianjinhebeiregionfrom2001to2020 AT jiawang assessmentofoptimalseasonalselectionforrseiconstructionacasestudyofecologicalenvironmentqualityassessmentinthebeijingtianjinhebeiregionfrom2001to2020 |