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AVHRR NDVI Baseline for Natural Vegetation Ecosystems in Northern Canadian National Parks

机译:加拿大北部国家公园天然植被生态系统的AVHRR NDVI基线

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The establishment of a set of vegetation baseline values for the sub-arctic protected ecosystems would permit the identification of ecosystem change in the context of global change. A common satellite-based index, the Normalized Difference Vegetation Index (NDVI), has a long history of use and can be averaged to establish a “normal” vegetation condition in a given region for a given time. Based on an analysis of 23-year NDVI time series data derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite imagery, this study investigated a simple method to establish a set of NDVI baseline for the sub-arctic natural ecosystems in the 12 Canadian northern National Parks. The key result of this study is that a set of annual and monthly NDVI baseline for each area of interest has been established. The NDVI baseline was further compared to a warm and a cool year to assess vegetation conditions. Comparison results indicated better vegetation conditions in warm years and worse vegetation conditions in cool year. The different deviation patterns over the years occurred in different parks, probably as the result of regional climatic properties, vegetation types, and elevations. The implication of this study is that newly-acquired NDVI values can be compared to this established baseline, both in a temporal and spatial dimension, to allow policy maker, land managers and other sub-arctic researchers to gauge the current conditions against those of previous years.
机译:为亚北极受保护的生态系统建立一套植被基准值,将有助于在全球变化的背景下确定生态系统的变化。常见的基于卫星的指数归一化植被指数(NDVI)具有悠久的使用历史,可以对其进行平均以在给定时间内在给定区域内建立“正常”植被状况。基于对来自超高分辨率高分辨率辐射计(AVHRR)卫星图像的23年NDVI时间序列数据的分析,本研究调查了一种简单的方法来为加拿大12个亚北极自然生态系统建立一套NDVI基线北部国家公园。这项研究的关键结果是针对每个感兴趣的领域建立了一套年度和月度NDVI基线。将NDVI基线与温暖和凉爽的一年作进一步比较,以评估植被状况。比较结果表明,温暖年份的植被状况较好,而凉爽年份的植被状况较差。这些年来,不同的公园出现了不同的偏差模式,这可能是区域气候特征,植被类型和海拔高度的结果。这项研究的意义在于,可以在时间和空间维度上将新获得的NDVI值与该既定基线进行比较,以使政策制定者,土地管理者和其他亚北极研究人员可以根据之前的情况评估当前状况。年份。

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