Estimation of forest leaf area index based on GF-1 WFV data

doi:10.6046/gtzyyg.2019.03.11

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Abstract

In this study, domestic GF-1 WFV data were used as the data source, SiB2 model was used to estimate the LAI of forest vegetation in Mohe County of Heilongjiang Province and the value was compared with the estimation result of the enhanced vegetation index (EVI) linear model. Estimation results of the two models were combined with the synchronous ground LAI data for accuracy evaluation. The results show that the coefficient of determination (R ²) of the LAI estimated by the EVI linear model is 0.582, and its root mean square error (RMSE) is 0.701. The R ² of the LAI estimated by the SiB2 model is 0.798, and its RMSE is 0.358. Compared with the performance of the EVI linear model, the results estimated by the SiB2 model are improved on both R ² and RMSE. The results show that the SiB2 model is more suitable for LAI inversion of forest vegetation in the study area, in combination with the high spatial resolution GF-1 WFV data.

Keywords GF-1 WFV data SiB2 model LAI EVI linear model

TP79

Corresponding Authors: Xianlin QIN E-mail: noaags@ifrit.ac.cn

Issue Date: 30 August 2019

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	Xiaotong LI
	Xianlin QIN
	Shuchao LIU
	Guifen SUN
	Qian LIU

Cite this article:

Xiaotong LI,Xianlin QIN,Shuchao LIU, et al. Estimation of forest leaf area index based on GF-1 WFV data[J]. Remote Sensing for Land & Resources, 2019, 31(3): 80-86.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.03.11 OR https://www.gtzyyg.com/EN/Y2019/V31/I3/80

Tab.1 Parameters of GF-1 WFV data

代码	植被类型	$NDV I 98 %$	$NDV I 5 %$	$S R i, max$	$S R i, min$	$LA I i, max$	$F cl$
1	针叶林	0.689	0.039	5.43	0.961	3.3	1.0
2	阔叶林	0.721	0.039	6.17	0.961	7.0	0
3	混交林	0.721	0.039	6.17	0.961	5.7	0.5
4	灌木	0.674	0.039	5.13	0.961	4.6	0

Tab.2 Value of

S R i, min

S R i, max

LA I i, max

and

F cl

for various vegetation types

Fig.1 Classification of vegetation types in study area

Tab.3 Results of vegetation classification accuracy evaluation of the study area

Tab.4 Vegetation rate of the study area(%)

Fig.2 Comparison of LAI inversion results

Tab.5 Statistics of the inversion results of two models(%)

Fig.3 Verification of LAI inversion results

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