Estimation of aboveground biomass of vegetation based on landsat 8 OLI images
Remote sensing estimation of aboveground biomass for desert oasis vegetation in arid area is an important means to monitor land desertification, it is of great significance to accurately evaluate the carbon sink change of desert oasis ecosystem, and maintain the stability of oasis ecosystem. The abo...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022023878 |
| _version_ | 1797987977876471808 |
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| author | Yanbin Zhang Ronghua Wang |
| author_facet | Yanbin Zhang Ronghua Wang |
| author_sort | Yanbin Zhang |
| collection | DOAJ |
| description | Remote sensing estimation of aboveground biomass for desert oasis vegetation in arid area is an important means to monitor land desertification, it is of great significance to accurately evaluate the carbon sink change of desert oasis ecosystem, and maintain the stability of oasis ecosystem. The aboveground biomass information of vegetation, such as vegetation index and band factor in a delta oasis area is obtained by using Landsat 8 OLI image data; Based on the combination with the measured aboveground biomass data of vegetation, the optimal estimation model of aboveground biomass of four vegetation types (arbors, shrubs, herbs and crops) in this area is established, and the above ground biomass of vegetation was retrieved and verified. The results showed that: (1) there was a very significant correlation between the remote sensing factors of aboveground biomass of four vegetation types and the measured aboveground biomass, and the correlation coefficient ranged from 0.711 to 0.756 (P < 0.01); (2) multiple stepwise regression (MSR) model is the optimal estimation model of aboveground biomass of arbors and shrubs, and partial least squares regression (PLSR) model is the optimal estimation model of aboveground biomass of herbs and crops, the estimation results have a good linear fitting relationship with the measured results; (3) the order of aboveground biomass of vegetation in oasis area from low to high is: herbs < shrubs < arbors < crops. Among them, the aboveground biomass of grass is mainly below 280 g m−2, the aboveground biomass of shrub is mainly 280–950 g m−2, and the aboveground biomass of four vegetation is mainly distributed in 280–1450 g m−2. Based on the Landsat 8 OLI image data, the remote sensing estimation model can accurately estimate the aboveground biomass of four oasis vegetation types (arbors, shrubs, herbs and crops), and reveal the spatial distribution characteristics of aboveground biomass of oasis vegetation. |
| first_indexed | 2024-04-11T07:56:43Z |
| format | Article |
| id | doaj.art-1ac5f9027bc94ffca25344fe45db6ab3 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-11T07:56:43Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-1ac5f9027bc94ffca25344fe45db6ab32022-12-22T04:35:55ZengElsevierHeliyon2405-84402022-11-01811e11099Estimation of aboveground biomass of vegetation based on landsat 8 OLI imagesYanbin Zhang0Ronghua Wang1Vocational and Technical College, Inner Mongolia Agricultural University, Baotou, 014109, China; College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot, 010070, China; Corresponding author.Department of Mechatronics Engineering, Inner Mongolia Technical College of Mechanics and Electrics, Hohhot, 010070, ChinaRemote sensing estimation of aboveground biomass for desert oasis vegetation in arid area is an important means to monitor land desertification, it is of great significance to accurately evaluate the carbon sink change of desert oasis ecosystem, and maintain the stability of oasis ecosystem. The aboveground biomass information of vegetation, such as vegetation index and band factor in a delta oasis area is obtained by using Landsat 8 OLI image data; Based on the combination with the measured aboveground biomass data of vegetation, the optimal estimation model of aboveground biomass of four vegetation types (arbors, shrubs, herbs and crops) in this area is established, and the above ground biomass of vegetation was retrieved and verified. The results showed that: (1) there was a very significant correlation between the remote sensing factors of aboveground biomass of four vegetation types and the measured aboveground biomass, and the correlation coefficient ranged from 0.711 to 0.756 (P < 0.01); (2) multiple stepwise regression (MSR) model is the optimal estimation model of aboveground biomass of arbors and shrubs, and partial least squares regression (PLSR) model is the optimal estimation model of aboveground biomass of herbs and crops, the estimation results have a good linear fitting relationship with the measured results; (3) the order of aboveground biomass of vegetation in oasis area from low to high is: herbs < shrubs < arbors < crops. Among them, the aboveground biomass of grass is mainly below 280 g m−2, the aboveground biomass of shrub is mainly 280–950 g m−2, and the aboveground biomass of four vegetation is mainly distributed in 280–1450 g m−2. Based on the Landsat 8 OLI image data, the remote sensing estimation model can accurately estimate the aboveground biomass of four oasis vegetation types (arbors, shrubs, herbs and crops), and reveal the spatial distribution characteristics of aboveground biomass of oasis vegetation.http://www.sciencedirect.com/science/article/pii/S2405844022023878Aboveground biomassMeasured dataEstimation modelRemote sensing inversion |
| spellingShingle | Yanbin Zhang Ronghua Wang Estimation of aboveground biomass of vegetation based on landsat 8 OLI images Heliyon Aboveground biomass Measured data Estimation model Remote sensing inversion |
| title | Estimation of aboveground biomass of vegetation based on landsat 8 OLI images |
| title_full | Estimation of aboveground biomass of vegetation based on landsat 8 OLI images |
| title_fullStr | Estimation of aboveground biomass of vegetation based on landsat 8 OLI images |
| title_full_unstemmed | Estimation of aboveground biomass of vegetation based on landsat 8 OLI images |
| title_short | Estimation of aboveground biomass of vegetation based on landsat 8 OLI images |
| title_sort | estimation of aboveground biomass of vegetation based on landsat 8 oli images |
| topic | Aboveground biomass Measured data Estimation model Remote sensing inversion |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022023878 |
| work_keys_str_mv | AT yanbinzhang estimationofabovegroundbiomassofvegetationbasedonlandsat8oliimages AT ronghuawang estimationofabovegroundbiomassofvegetationbasedonlandsat8oliimages |