Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image

Wang Jianbu; Zhang Jie; Ma Yi; Ren Guangbo

doi:10.3969/j.issn.0253-4193.2018.06.004

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Wang Jianbu, Zhang Jie, Ma Yi, Ren Guangbo. Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image[J]. Haiyang Xuebao, 2018, 40(6): 40-50. doi: 10.3969/j.issn.0253-4193.2018.06.004

Citation:

Wang Jianbu, Zhang Jie, Ma Yi, Ren Guangbo. Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image[J]. Haiyang Xuebao, 2018, 40(6): 40-50. doi: 10.3969/j.issn.0253-4193.2018.06.004

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Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image

doi: 10.3969/j.issn.0253-4193.2018.06.004

The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2017-09-15
Rev Recd Date: 2017-10-16

Abstract

Abstract

Vegetation fraction coverage (VFC) is an important quantitative indicator of the vegetation growth. At present, remote sensing estimation work of VFC has been mainly implemented in land areas but seldom in estuary wetland. In this paper, we carried out VFC estimation of the Yellow River Estuary wetland based on homemade GF-1 WFV satellite image, and developed the analysis of VFC distribution characteristics based on vegetation type, soil salinity and vegetation index. The main conclusions we drew from this study are:(1) According to GF-1 WFV satellite image, VFC estimation model was built based on five vegetation index, including NDVI, SRI, SAVI, MSAVI and DVI. The largest determination coefficient R² (0.904) and the smallest root-mean-square error RMSE (0.14) were obtained from the multivariate linear regression model, which was the best model of all, built upon NDVI, SRI, MSAVI and DVI. (2) Estimation precision of VFC estimation model was found depending on the value of VFC. The estimation precision was higher in areas with a VFC value larger than 0.8, compared to areas with a VFC value smaller than 0.6 and the maximum difference for RMSE is 0.04. (3) VFC areas that mainly occupied with suaeda and tidal flat phragmites were considered to be low VFC areas, which had VFC values in the range of 0.03 to 0.5, and salt salinities were around 1.5 g/L. Phragmites meadow, spartina and tamarix chinesis shrub occupied areas belonged to high VFC areas with VFC values varied from 0.8 to 1.0. The salt salinity of phragmites meadow was smaller than 1.2 g/L, and that of tamarix chinesis shrub was in between 1.4 and 2.0 g/L. Medium VFC vegetation with VFC values ranging from 0.5 to 0.8 was found in high VFC areas and possessed salt salinity around 1.8 g/L. (4) Among all studied areas, low and high VFC areas accounted for 25.1% and 20.2%, respectively, while medium VFC areas only took up 8.3% in proportion.
- GF-1 WFV satellite image,
- Yellow River Estuary wetland,
- vegetation fraction coverage,
- vegetation index

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