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| 长-短NDVI时序检测植被局部突变特征方法研究 |
| Long-Short NDVI Time Series Method for Detecting Local Mutation Characteristics of Vegetation |
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| DOI： |
| 中文关键词: 长-短NDVI时序检测 植被 局部突变特征 和田地区 |
| 英文关键词: Long-short NDVI time series detection Vegetation Local mutation characteristics Hotan area |
| 基金项目:北京市自然科学基金资助项目（5204033）；和田地区生态监测系统建设基金资助项目（北京援疆） |
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| 中文摘要: |
| 提出一种长-短NDVI时序检测植被局部变化特征方法，利用2000—2020年和田地区的MODIS数据，对研究区域同一格网内不同年度的NDVI时序作相似性检验以检测格网内植被是否发生突变，进而研究植被局部变化特征，检测植被局部发生生态突变的时间、位置及变化前后植被类型。结果表明：和田地区植被覆盖突变好转的年份为2006年、2013年、2016年和2018年，分布在平原绿洲、山区与平原交汇区域。除了开垦、耕作及其他逐利人为因素外，大部分植被覆盖突变发生在气候变化剧烈的南部山区，故和田地区局部植被退化是气候变化与人类活动共同作用的结果。 |
| 英文摘要: |
| In this paper， a long-short NDVI time series method was proposed to detect local mutation characteristics of vegetation. Using MODIS data in Hotan area from 2000 to 2020， the NDVI time series of different years in the same grid in the study area were tested for similarity to detect whether the vegetation in the grid was mutated， the local mutation characteristics of vegetation was studied， and the time， location of local ecological mutation of vegetation and the vegetation types before and after the mutation were detected. The results showed that the vegetation coverage in Hotan was improved dramatically in 2006， 2013， 2016 and 2018， which distributed in plain oases and the intersection of mountains and plains. In addition to reclamation， cultivation and other human activities for profit， most of the abrupt changes in vegetation cover occurred in the southern mountains where climate change was intense. Therefore， the local vegetation degradation in Hotan area was the result of the combined effect of climate change and human activities. |
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