摘要
区域生态环境的质量可以通过植被覆盖度的高低反映出来,研究植被覆盖度,了解其时空发展变化,能够有效地评估区域的生态服务功能。本文以5年为时间间隔从2001—2016年中选取4期数据作为时间序列,以Landsat系列遥感影像为数据源,选取归一化植被指数NDVI,建立像元二分模型,结合均值法、差值法等方法分析区域的植被状况,得出若尔盖地区以高级植被覆盖度为主,植被覆盖变化较大,波动明显,总体处于退化趋势的结论。在各个时间段内退化程度不同,2006年植被覆盖状况最好,2011年退化最严重。作为黄河上游地区重要的水源涵养地,研究该地区的植被变化,对于调节区域气候,防控沙尘暴灾害,以及当地畜牧业的发展和生态平衡具有重要参考价值,为该区域的可持续发展提供理论支撑和科学依据。
The quality of regional ecological environment can be reflected by the vegetation coverage,Studying the vegetation coverage and understanding its spatial and temporal changes can effectively evaluate the ecological service function of the region.In this paper,four phases of data from 2001 to 2016 are selected as time series,Landsat series remote sensing images are taken as data sources,normalized vegetation index NDVI is selected,pixel dichotomy model is established,and vegetation condition in Zoige area is analyzed by means of mean and difference methods.Coverage is dominant,vegetation cover changes greatly,fluctuation is obvious,and overall is in the degradation trend.Vegetation coverage was the best in 2006 and the most serious in 2011.As an important water conservation area in the upper reaches of the Yellow River,the study of vegetation change in this area has important reference value for regulating regional climate,preventing and controlling sandstorm disasters,as well as the development of local animal husbandry and ecological balance,and provides theoretical support and scientific basis for the sustainable development of this area.
作者
何兰
董光
陈佳丽
程武学
He Lan;Dong Guang;Chen Jiali;Cheng Wuxue(College of Geography and Resources Science Sichuan Normal University,Chengdu 610101,China;Key Laboratory of Land Resources Evaluation and Monitoring in Southwest,Ministry of Education,Sichuan Normal University,Chengdu 610068,China)
出处
《科技通报》
2021年第3期1-8,共8页
Bulletin of Science and Technology
基金
四川省科技厅项目(2017JY0155)
四川省应用基础研究项目(2017JY0155)
四川省应用基础研究项目(2017JY0284)
国家自然科学基金地区科学基金项目(32060370)
教育部人文社科项目(18YJC850004)
关键词
NDVI
植被覆盖度
像元二分模型
时空变化
NDVI
vegetation coverage
dimidiate pixel model
spatial and temporal change
