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    • 新安江流域2000-2021年NDVI时空变化特征及其影响因素分析

    WANG Shangxiao,NIU Xiaonan, ZHANG Jie,ZHANG Ming,ZONG Leli, HUANG Dingling

    Resources Survey & Environment（2023）

    中国地质调查局南京地质调查中心 | 中国人民解放军陆军工程大学

    Cited 1|Views5
    Abstract
    新安江流域是长三角地区重要的生态屏障,对该流域的植被覆盖情况进行监测并掌握其动态变化特征,对该区生态环境保护具有重要意义.以新安江流域为研究区,利用2000-2021年MOD13Q1数据,针对归一化植被指数(NDVI)的时空变化特征及其变化的持续性,使用Theil-Sen Median趋势分析、Mann-Kendall检验和Hurst指数等方法进行分析,探讨了 NDVI的变化趋势与岩性建造、土地利用类型之间的关系.结果表明:二十多年以来,新安江流域的年平均NDVI为0.5～0.9,总体呈波动上升趋势,最大值出现在每年7-9月,最小值出现在每年1-3月,呈现"山地高,丘陵和平原较低"的分布特征.NDVI变化类型以改善型为主,改善型区域面积占比＞70％,且以持续改善型为主,其中轻微改善型和明显改善型面积占比达85.71％.第四系和白垩纪红层分布区,NDVI严重退化和轻微退化占比较高,NDVI退化情况较严重的土地利用类型为建设用地、草地和耕地.该研究结果可反映新安江流域NDVI的时空变化特征,对于该区生态环境保护与建设具有一定指导意义.
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    Key words
    Xin'an River Basin,spatial and temporal variation,NDVI,trend analysis,vegetation cov-er
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
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    【要点】：研究新安江流域2000-2021年间归一化植被指数（NDVI）的时空变化特征及其影响因素，发现NDVI总体呈波动上升趋势，与岩性建造和土地利用类型密切相关。
    

    【方法】：采用Theil-Sen Median趋势分析、Mann-Kendall检验和Hurst指数等方法对MOD13Q1数据进行分析。
    

    【实验】：利用2000-2021年MOD13Q1数据集，分析新安江流域NDVI变化趋势，结果显示年平均NDVI为0.5～0.9，最大值出现在7-9月，最小值出现在1-3月，且改善型区域面积占比＞70％，以持续改善型为主。