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A Comparative Analysis of Burned Area Datasets in Canadian Boreal Forest in 2000

机译:2000年加拿大北方森林烧毁面积数据集的比较分析

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摘要

The turn of the new millennium was accompanied by a particularly diverse group of burned area datasets from different sensors in the Canadian boreal forests, brought together in a year of low global fire activity. This paper provides an assessment of spatial and temporal accuracy, by means of a fire-by-fire comparison of the following: two burned area datasets obtained from SPOT-VEGETATION (VGT) imagery, a MODIS Collection 5 burned area dataset, and three different datasets obtained from NOAA-AVHRR. Results showed that burned area data from MODIS provided accurate dates of burn but great omission error, partially caused by calibration problems. One of the VGT-derived datasets (L3JRC) represented the largest number of fire sites in spite of its great overall underestimation, whereas the GBA2000 dataset achieved the best burned area quantification, both showing delayed and very variable fire timing. Spatial accuracy was comparable between the 5 km and the 1 km AVHRR-derived datasets but was remarkably lower in the 8 km dataset leading, us to conclude that at higher spatial resolutions, temporal accuracy was lower. The probable methodological and contextual causes of these differences were analyzed in detail.
机译:新千年的到来伴随着来自加拿大寒带森林中不同传感器的一组特别不同的燃烧面积数据集,这些数据在一年的全球低火活动中汇集在一起​​。本文通过逐项逐项比较来评估空间和时间准确性:从SPOT-VEGETATION(VGT)影像获得的两个烧伤区域数据集,一个MODIS Collection 5烧伤区域数据集以及三个不同的从NOAA-AVHRR获得的数据集。结果表明,来自MODIS的燃烧面积数据提供了准确的燃烧日期,但遗漏误差很大,部分原因是校准问题。尽管总体上被低估了,但其中一个由VGT衍生的数据集(L3JRC)却代表了最多的火灾地点,而GBA2000数据集却实现了最佳的燃烧面积量化,既显示了延迟时间,又显示了可变的火灾发生时间。在5?km和1?km的AVHRR数据集之间,空间精度是可比的,但在8?km的数据集中,其空间精度明显较低,我们得出结论,在较高的空间分辨率下,时间精度较低。这些差异的可能的方法和背景原因进行了详细分析。

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