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Trends In Vegetation Ndvi From 1 Km Avhrr Data Over Canada Forthe Period 1985-2006

机译:1985-2006年加拿大1 km Avhrr数据的植被Ndvi趋势

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Long-term changes in the Normalized Difference Vegetation Index (NDVI) have been evaluated in several studies but results have not been conclusive due to differences in data processing as well as the length and time of the analysed period. In this research a newly developed 1 km Advanced Very High Resolution Radiometer (AVHRR) satellite data record for the period 1985-2006 was used to rigorously evaluate NDVI trends over Canada. Furthermore, climate and land cover change as potential causes of observed trends were evaluated in eight sample regions. The AVHRR record was generated using improved geolocation, cloud screening, correction for sun-sensor viewing geometry, atmospheric correction, and compositing. Results from both AVHRR and Landsat revealed an increasing NDVI trend over northern regions where comparison was possible. Overall, 22% of the vegetated area in Canada was found to have a positive NDVI trend based on the Mann-Kendal test at the 95% confidence level. Of these, 40% were in northern ecozones. The mean absolute difference of NDVI measurements between AVHRR and Landsat data was <7%. When compared with results from other studies, similar trends were found over northern areas, while in southern regions the results were less consistent. Local assessment of potential causes of trends in each region revealed a stronger influence of climate in the north compared to the south. Southern regions with strong positive trends appeared to be most influenced by land cover change.
机译:已在几项研究中评估了归一化植被指数(NDVI)的长期变化,但由于数据处理以及分析时间段和时间的差异,结果尚无定论。在这项研究中,使用了新开发的1985-2006年1 km高级超高分辨率辐射计(AVHRR)卫星数据记录来严格评估加拿大的NDVI趋势。此外,在八个样本区域中评估了气候和土地覆盖变化作为观测趋势的潜在原因。 AVHRR记录是使用改进的地理位置,云筛查,对太阳传感器查看几何的校正,大气校正和合成生成的。 AVHRR和Landsat的结果显示,在可能进行比较的北部地区,NDVI呈上升趋势。总体而言,根据Mann-Kendal检验,在95%的置信度下,加拿大22%的植被区的NDVI趋势良好。其中40%位于北部生态区。 AVHRR和Landsat数据之间NDVI测量的平均绝对差为<7%。与其他研究的结果相比,北部地区的趋势相似,而南部地区的结果不一致。对每个区域趋势潜在原因的本地评估显示,与南部相比,北部气候的影响更大。积极趋势强烈的南部地区似乎受土地覆盖变化的影响最大。

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