Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest
Normalized Difference Vegetation Index (NDVI) is widely used to represent the greenness indicator for the Ecological Environment Quality (EEQ) assessment based on the traditional Remote Sensing Ecological Index (RSEI). However, NDVI saturation issues are reported in agriculture and forest ecosystems...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23012347 |
| _version_ | 1797655135912984576 |
|---|---|
| author | Yun Liu Weiheng Xu Zehu Hong Leiguang Wang Guanglong Ou Ning Lu Qinling Dai |
| author_facet | Yun Liu Weiheng Xu Zehu Hong Leiguang Wang Guanglong Ou Ning Lu Qinling Dai |
| author_sort | Yun Liu |
| collection | DOAJ |
| description | Normalized Difference Vegetation Index (NDVI) is widely used to represent the greenness indicator for the Ecological Environment Quality (EEQ) assessment based on the traditional Remote Sensing Ecological Index (RSEI). However, NDVI saturation issues are reported in agriculture and forest ecosystems at high greenness and biomass, creating a challenge when using NDVI to reflect the greenness components for forest EEQ assessment. In this paper, three-dimensional greenness (TDG) was obtained by the Forest Canopy Height (FCH) and Fractional Vegetation Cover (FVC) to quantify the forest greenness. The NDVI of RSEI was replaced with TDG to establish an improved remote sensing ecological index (TDRSEI) for the forest EEQ evaluation in the Central Yunnan, China. Moreover, we analyzed the difference between RSEI and TDRESI by qualitative and quantitative means and discussed deeply the optical saturation of NDVI by the quadratic function. The results shown that there were similar spatial distribution patterns and a strong correlation between TDG and FCH, Leaf Area Index (LAI), FVC, and NDVI, the TDG can be used to replace NDVI for reflecting forest greenness. The standard deviation of TDRSEI from the same FCH pixels was all less than that of RSEI, the absolute correlation coefficient between TDRSEI and ecological components were all greater than 0.63, and the mean values of TDRSEI (0.73, 0.84, and 0.90) from the relatively high FCH (20 m, 25 m, and 30 m) were greater than RSEI (0.71, 0.78, and 0.85), showing that the TDRSEI were more stable than RSEI for forest EEQ assessment and it can improve the EEQ in the high FCH. In Central Yunnan, China, the forest EEQ from TDRSEI and RSEI maps both increased with the growth of FCH, the distribution of RSEI had no significant difference between the low FCH and the high FCH, while the mean values of TDRSEI increased linearly with FCH growth. Besides, the ecological saturation points of TDRSEI and RSEI corresponding to the FCH were 19.50 m and 34.02 m, respectively. Therefore, TDRSEI method integrates the three-dimensional greenness to evaluate the forest EEQ objectively. |
| first_indexed | 2024-03-11T17:09:46Z |
| format | Article |
| id | doaj.art-dac0e356d03d45758342a0111b65181f |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-11T17:09:46Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-dac0e356d03d45758342a0111b65181f2023-10-20T06:38:58ZengElsevierEcological Indicators1470-160X2023-12-01156111092Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forestYun Liu0Weiheng Xu1Zehu Hong2Leiguang Wang3Guanglong Ou4Ning Lu5Qinling Dai6College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, ChinaCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China; Corresponding author.College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, ChinaInstitute of Big Data and Artificial Intelligence, Southwest Forestry University, Kunming, Yunnan 650233, ChinaCollege of Forestry, Southwest Forestry University, Kunming, Yunnan 650233, ChinaCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, ChinaArt and Design College, Southwest Forestry University, Kunming, Yunnan 650024, ChinaNormalized Difference Vegetation Index (NDVI) is widely used to represent the greenness indicator for the Ecological Environment Quality (EEQ) assessment based on the traditional Remote Sensing Ecological Index (RSEI). However, NDVI saturation issues are reported in agriculture and forest ecosystems at high greenness and biomass, creating a challenge when using NDVI to reflect the greenness components for forest EEQ assessment. In this paper, three-dimensional greenness (TDG) was obtained by the Forest Canopy Height (FCH) and Fractional Vegetation Cover (FVC) to quantify the forest greenness. The NDVI of RSEI was replaced with TDG to establish an improved remote sensing ecological index (TDRSEI) for the forest EEQ evaluation in the Central Yunnan, China. Moreover, we analyzed the difference between RSEI and TDRESI by qualitative and quantitative means and discussed deeply the optical saturation of NDVI by the quadratic function. The results shown that there were similar spatial distribution patterns and a strong correlation between TDG and FCH, Leaf Area Index (LAI), FVC, and NDVI, the TDG can be used to replace NDVI for reflecting forest greenness. The standard deviation of TDRSEI from the same FCH pixels was all less than that of RSEI, the absolute correlation coefficient between TDRSEI and ecological components were all greater than 0.63, and the mean values of TDRSEI (0.73, 0.84, and 0.90) from the relatively high FCH (20 m, 25 m, and 30 m) were greater than RSEI (0.71, 0.78, and 0.85), showing that the TDRSEI were more stable than RSEI for forest EEQ assessment and it can improve the EEQ in the high FCH. In Central Yunnan, China, the forest EEQ from TDRSEI and RSEI maps both increased with the growth of FCH, the distribution of RSEI had no significant difference between the low FCH and the high FCH, while the mean values of TDRSEI increased linearly with FCH growth. Besides, the ecological saturation points of TDRSEI and RSEI corresponding to the FCH were 19.50 m and 34.02 m, respectively. Therefore, TDRSEI method integrates the three-dimensional greenness to evaluate the forest EEQ objectively.http://www.sciencedirect.com/science/article/pii/S1470160X23012347Ecological environment qualityRemote sensing ecological indexForest canopy heightThree-dimensional greennessOptical saturation phenomenon |
| spellingShingle | Yun Liu Weiheng Xu Zehu Hong Leiguang Wang Guanglong Ou Ning Lu Qinling Dai Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest Ecological Indicators Ecological environment quality Remote sensing ecological index Forest canopy height Three-dimensional greenness Optical saturation phenomenon |
| title | Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest |
| title_full | Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest |
| title_fullStr | Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest |
| title_full_unstemmed | Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest |
| title_short | Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest |
| title_sort | integrating three dimensional greenness into rsei improved the scientificity of ecological environment quality assessment for forest |
| topic | Ecological environment quality Remote sensing ecological index Forest canopy height Three-dimensional greenness Optical saturation phenomenon |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23012347 |
| work_keys_str_mv | AT yunliu integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest AT weihengxu integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest AT zehuhong integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest AT leiguangwang integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest AT guanglongou integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest AT ninglu integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest AT qinlingdai integratingthreedimensionalgreennessintorseiimprovedthescientificityofecologicalenvironmentqualityassessmentforforest |