基于GIMMS 3g NDVI的近30年中国北部植被生长季始期变化研究

doi:10.13249/j.cnki.sgs.2017.04.016

Abstract

Abstract:

Based on GIMMS 3g NDVI, landuse, temperature, precipitation and vegetation type data, the paper fitted the current year vegetation growing season curve and extracted the yearly green-up day of vegetation growing season in northern China in recent 30 years (from 1983 to 2012), analyzed its spatio-temporal changes and also the relationship between temperature and precipitation. In order to meet the actual vegetation growth, we used harmonic analysis of time-series method to reconstruct vegetation NDVI, dynamic threshold and a sixpolynomial fitting method. Some conclusions were as follows. 1) With longer time-series features and better data quality, GIMMS 3g NDVI data with time-series harmonic data analysis was very good to fit and show the actual characteristics of vegetation growing season curve in northern China and can be well used to further study of vegetation growing season in the future. 2) During the study period, green-up day of vegetation growing season mainly distributed from 80 days to 150 days, and the regional averaged value reached 111.6 days.Green-up day of vegetation growing season in regions such as northeast Plain, north China Plain, Hetao Plain, Tianshan, the Altai were earlier. 3) Green-up day of vegetation growing season in northern China showed an advanced tend in general and gradually transitioned from the northwest to the northeast. The significantly advanced regions mainly distributed in the eastern of Inner Mongolia, northeast China Plain, southern Shanxi and the Tianshan Mountains of Xinjiang section area, while the significantly delayed regions were in Qinghai-Tibet Plateau alpine regions. 4) Due to various vegetation types and regional differences and so on,green-up day of vegetation growing season responded to temperature and precipitation distinctly and temperature was the main factor that affecting green-up day of vegetation growing season changes.

Key words: green-up day of growing season, GIMMS 3g NDVI, harmonic analysis, polynomial fitting, correlation

CLC Number:

TP79

Jing Li, Hongbing Liu, Caiyun Li, Long Li. Changes of Green-up Day of Vegetation Growing Season Based on GIMMS 3g NDVI in Northern China in Recent 30 Years[J].SCIENTIA GEOGRAPHICA SINICA, 2017, 37(4): 620-629.

Figures/Tables 9

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相关性	生长季始期与气温				生长季始期与降水
相关性	系数范围		像元个数	百分比（%）	系数范围	像元个数	百分比（%）
显著正相关	-0.7~-0.5	483	1.26		-0.8~-0.5	208	0.54
较显著正相关	-0.5~-0.3	4464	11.62		-0.5~-0.3	2431	6.33
弱正相关	-0.3~-0.1	12237	31.86		-0.3~-0.1	9613	25.03
基本不相关	-0.1~0.1	13913	36.22		-0.1~0.1	15377	40.03
弱负相关	0.1~0.3	6670	17.36		0.1~0.3	9626	25.06
较显著负相关	0.3~0.5	1179	3.07		0.3~0.5	1636	4.26
显著负相关	0.5~0.7	52	0.14		0.5~0.6	107	0.28

Changes of Green-up Day of Vegetation Growing Season Based on GIMMS 3g NDVI in Northern China in Recent 30 Years

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