文献类型：期刊文献

中文题名：基于断点检测的延安市富县植被变化研究

英文题名：Vegetation change based on break-point detection in Fu County,Yan’an City

作者：季烨云[1,2] 刘鹏举[1,2] 高影[1,2] 任怡[3] 余涛[1,2] 牛思圆[1,2]

第一作者：季烨云

机构：[1]中国林业科学研究院资源信息研究所,北京100091;[2]中国林业科学研究院国家林业和草原局林业遥感与信息技术重点实验室,北京100091;[3]国家林业和草原局调查规划设计院,北京100029

年份：2022

卷号：39

期号：3

起止页码：540-546

中文期刊名：浙江农林大学学报

外文期刊名：Journal of Zhejiang A&F University

收录：CSTPCD;;北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；

基金：国家重点研发计划项目(2017YFD0600906);“三北”防护林体系管理与服务平台(林防合字2019-17)。

语种：中文

中文关键词：归一化植被指数(NDVI);时间序列;DBEST;变化检测

外文关键词：normalized difference vegetation index(NDVI);time series;DBEST;change detection

分类号：TP79

摘要：【目的】多项生态工程实施以来,陕北黄土高原地区环境明显改善,探究该区域植被的时空变化,为生态环境建设与差异化决策提供依据。【方法】以陕西省延安市富县为研究对象,利用2000—2019年生长季的Landsat TM/ETM+/OLI影像,运用DBEST算法对归一化植被指数(NDVI)时间序列进行断点检测,并提出多阶段趋势分析方法分析富县植被变化时空特征。【结果】富县植被的断点检测结果表明:66.47%的区域断点NDVI变化幅度小于0.2,主要分布在富县西部和东北地区,植被相对稳定,未发生剧烈变化;33.53%的区域断点NDVI变化幅度大于0.2,其中断点数量多于4个的区域仅占5.88%,集中分布于道路、河流沿线,变化频繁,与人为活动有关。当前阶段趋势分析表明:断点NDVI变化幅度大于0.2的区域,改善的面积占总面积的24.57%,退化面积仅占2.12%;开始时间均在2014年之前,时间分布跨度大,空间异质性强,揭示了富县植被变化的多样性及复杂性;富县有林地、疏林地、灌木林地、未成林造林地4种主要林地均趋于改善,改善面积占林地面积的96.23%。【结论】2000—2019年,富县植被整体呈现改善趋势,生态建设工程取得良好的效果;植被变化的时空特征存在差异,后续决策需因地制宜。
[Objective]Given the significant environmental improvement after the implementation of ecological projects in the Loess Plateau of northern Shaanxi,this study is aimed to investigate the effect of ecological projects on vegetation improvement so as to provide reference for ecological construction and development countermeasures.[Method]With the Landsat TM/ETM+/OLI images in the growing season from 2000 to 2019 collected,the DBEST algorithm was used to detect breakpoints in the normalized difference vegetation index(NDVI)time series before a multi-stage trend analysis method was proposed to analyze the temporal and spatial dynamic of the vegetation change in Fu County,Yan’an City,Shaanxi Province.[Result]Results of break-point detection showed that 66.47%of the breakpoints showed a change magnitude of NDVI lower than 0.2,mainly distributed in the western and northeastern areas and the vegetation was relatively stable without drastic changes;33.53%of the breakpoints showed a change magnitude of NDVI higher than 0.2 with areas having more than 4 breakpoints accounting for only 5.88%and they were concentrated on roads and rivers with frequent changes in vegetation due to human activities.Results of trend analysis showed that for areas with a break-point change magnitude of NDVI higher than 0.2,the improved area accounted for 24.57%whereas the degraded area only accounted for 2.12%;Featured with a large time distribution span and a strong spatial heterogeneity,the current trends started before 2014,revealing the diversity and complexity of vegetation changes in Fu County;A trend of improvement was detected in all the four main types of forest land in Fu County,namely wood land,sparse wood land,shrub land and young afforested land with the improved area accounting for 96.23%of the total wood land.[Conclusion]Recent years have witnessed an overall improvement trend of the vegetation in the study area,showing the positive impact exerted by ecological construction projects and further ecological countermeasures should be formulated taking into consideration in accordance the differences in spatial characteristics of vegetation changes in Fu County from 2000 to 2019 as well as local circumstances.