洞庭湖流域植被动态变化的小波多分辨率分析

doi:10.11821/dlxb201509011

Abstract

Abstract:

The vegetation dynamic change can be analyzed by applying the discrete wavelet multi-resolution analysis (MRA) to decompose the normalized difference vegetation index (NDVI) time series into subseries at different time scales. In this thesis, the NDVI time series over Dongting Lake Basin was decomposed under different time scales by the wavelet transform. Then the latent seasonal and inter-annual variability of vegetation was mined and assessed. Finally, the possible causes of the changes were analyzed in combination with the land cover change analysis result and the rainfall data. The results show that by using the wavelet multi-resolution analysis, the information related to vegetation dynamics in Dongting Lake Basin can be extracted, which includes the mean of the inter-annual component of NDVI, the minimum level of NDVI, the amplitude of the annual phonological cycle, the timing of the maximum NDVI, the trend in the data series and the magnitude of the land cover change. The information effectively depicts the basin's vegetation dynamics characteristics. Furthermore, with the combination of land cover change analysis result and precipitation data, an obvious correlation was found between the change of vegetation cover and the precipitation change in the basin, that is, the vegetation dynamic changes response to precipitation is the most obvious in the western and northwestern parts of the basin. Although there is no obvious decrease in precipitation in some areas, the vegetation cover has a decreasing trend, which may be related to other factors, such as higher terrain and urbanization.

Key words: Dongting Lake Basin, MODIS NDVI, discrete wavelet transform, multi-resolution analysis, vegetation dynamic change

Yuehong LONG, Jianxin QIN, Xinguang HE, Zhun YANG. Wavelet multi-resolution analysis of vegetation dynamic change in Dongting Lake Basin[J].Acta Geographica Sinica, 2015, 70(9): 1491-1502.

Figures/Tables 8

Fig. 1

Tab. 1

Fig. 2

Tab. 2

Key features computed from the MRA to study vegetation dynamics

参数	描述	意义
$NDVI ˉ$	年际成分的均值： $NDVI ˉ ≡ A 5 ˉ$	一段时期内植被的均值水平
$NDV I min$	年际变化均值和年内变化率的和的10%分位数： $NDV I min ≡ P 10$ ( $A 5 ˉ$ +V )	在研究期内到达的最小NDVI水平
$ΔNDVI$	年内变化率的10%至90%的范围： $ΔNDVI ≡ R 10,90 (V)$	植被年内变化的幅度(值越大表明植被年内变化越大)
$t max$	与D₄成分相关的最大NDVI值出现的时间	最大NDVI值出现的日期
$Q$	使用森氏方法求取A₅成分的变化率	土地覆盖变化的量级

Tab. 2

Fig. 3

Tab. 3

Numerical values for the 5 NDVI key features for the selected vegetation canopies

植被类型	$NDVI ˉ$	$NDV I min$	$ΔNDVI$	$t max$	$Q$
杨树	0.55	0.12	11	7	-0.13
灌木	0.53	0.34	4	8	-0.31
草地	0.40	0.04	10	3	-0.29
南荻	0.57	0.31	8	7	-0.37
水草	0.32	0.07	8	7	1.50

Tab. 3

Fig. 4

Fig. 5

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层次(j)	尺度(a)	p(天数)	p/2(天数)
1	2	47	23.5
2	4	95	47
3	8	190	95
4	16	380	190
5	32	760	380

Wavelet multi-resolution analysis of vegetation dynamic change in Dongting Lake Basin

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