Research of carbon storage assessment of island vegetation based on UAV multispectral remote sensing:A case study of Dazhuzhi Island in Dongtou

doi:10.3969/j.issn.1001-909X.2023.04.008

Abstract

Abstract:

Taking Dazhuzhi Island (Dongtou, Wenzhou) as the research area, UAV equipped with multispectral sensors was used to acquire high-resolution remote sensing images, the optimal spectral band combination was selected to classify the island vegetation, and the vegetation types was divided into arbors, shrubs and herbs by supervised classification. The accuracy of vegetation classification was 99.72%, and the Kappa coefficient was 0.995 4. The spatial distribution of dominant species of arbors and shrubs was obtained by using the deep convolutional neural network (the precision rate was 0.79), and combined with the biomass equations, the spatial distribution of the biomass of dominant species of arbors and shrubs was inversed (arbors’ R²=0.97, shrubs’ R²=0.99). The biomass inversion equations of 3 shrub dominant species (Ficus erecta, Mallotus japonicas, and Eurya emarginata) were constructed by field sampling, and the other dominant species biomass inversion equations were obtained from literature. Based on the biomass and spatial distribution of dominant species, the carbon storage of arbors and shrubbys was 300.36 t and 47.59 t, respectively. Using normalized difference vegetation index (NDVI) to invert the spatial distribution of herb biomass (R²=0.99), combined with the biomass equation of the dominant herb species (Zoysia sinica) constructed from the measured data, the carbon storage of herbs was 21.59 t on Dazhuzhi Island.

Key words: island, vegetation carbon storage, unmanned aerial vehicle (UAV), multispectral remotely sensed image

CLC Number:

Q948

XIE Jiaqi, ZHANG Zhao, ZHOU Wen, WANG Jinwang, CHEN Yahui. Research of carbon storage assessment of island vegetation based on UAV multispectral remote sensing:A case study of Dazhuzhi Island in Dongtou[J]. Journal of Marine Sciences, 2023, 41(4): 84-93.

Figures/Tables 16

References 18

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物种	样本量	胸径或基径/cm		冠幅/m²
物种	样本量	范围	标准差	范围	标准差
台湾相思	15	4.80~18.90	4.06	3.00~48.00	14.89
椿叶花椒	15	6.30~23.00	5.75	4.00~70.68	22.73
黑松	15	6.80~11.70	5.15	4.94~16.38	4.18
天仙果	15	6.80~10.70	0.93	8.78~19.32	2.74
野梧桐	15	1.30~8.77	1.85	47.75~11.40	1.94
滨柃	15	6.90~9.10	0.65	4.32~7.83	1.23

物种	样本量	胸径或基径/cm		冠幅/m²
物种	样本量	范围	标准差	范围	标准差
台湾相思	15	4.80~18.90	4.06	3.00~48.00	14.89
椿叶花椒	15	6.30~23.00	5.75	4.00~70.68	22.73
黑松	15	6.80~11.70	5.15	4.94~16.38	4.18
天仙果	15	6.80~10.70	0.93	8.78~19.32	2.74
野梧桐	15	1.30~8.77	1.85	47.75~11.40	1.94
滨柃	15	6.90~9.10	0.65	4.32~7.83	1.23

类型	物种	样本量	基径/cm		生物量/kg
类型	物种	样本量	范围	标准差	范围	标准差
灌丛	野梧桐	7	2.20~6.80	1.38	0.08~1.33	0.44
	天仙果	8	2.23~5.06	0.89	0.28~1.51	0.65
	滨柃	12	1.08~5.38	1.51	0.05~2.36	0.81

类型	物种	样本量	基径/cm		生物量/kg
类型	物种	样本量	范围	标准差	范围	标准差
灌丛	野梧桐	7	2.20~6.80	1.38	0.08~1.33	0.44
	天仙果	8	2.23~5.06	0.89	0.28~1.51	0.65
	滨柃	12	1.08~5.38	1.51	0.05~2.36	0.81

样地编号	生物量/kg	NDVI	样地编号	生物量/kg	NDVI	样地编号	生物量/kg	NDVI
H13	1.04	0.88	H23	0.32	0.34	H33	0.79	0.73
H14	0.15	0.23	H24	0.83	0.71	H34	0.69	0.66
H15	0.22	0.28	H25	0.94	0.79	H35	0.24	0.34
H16	0.20	0.26	H26	0.53	0.49	H36	0.37	0.34
H17	0.17	0.24	H27	0.31	0.37	H37	0.13	0.26
H18	0.43	0.44	H28	0.37	0.37	H38	0.21	0.22
H19	0.76	0.67	H29	0.15	0.25	H39	0.30	0.40
H20	0.25	0.29	H30	0.57	0.51	H40	0.71	0.70
H21	0.40	0.42	H31	0.59	0.52	H41	0.17	0.31
H22	0.08	0.16	H32	0.30	0.31	H42	0.68	0.53