Aqua/MODIS和NPP-Suomi/VIIRS卫星探测火像元的数量差异

B. White
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摘要

自2002年以来,AQUA (MODIS)卫星一直被巴西国家空间研究所用作“参考”,用于分析整个南美洲的火灾像素探测的时空趋势。由于这颗卫星将在不久的将来停止提供数据,为了继续趋势分析,有必要将AQUA火像元数据与下一个参考卫星Suomi NPP (VIIRS)的数据进行整合和调整。因此,本研究的目的是分析AQUA和S-NPP卫星在国家、州和城市层面的火灾像元检测差异。在评估的10年期间,S-NPP在南美大陆平均探测到的火像元是AQUA的5.13倍。S-NPP/AQUA比率最高的是委内瑞拉(6.81),最低的是智利(3.87)。当仅分析巴西各州的火像元时,Acre的S-NPP/AQUA比率最低(3.72),而Sergipe最高(10.07)。在par各市中,s - npp /AQUA比值最低的是Quatipuru(2.84),最高的是Ananindeua(11.25)。尽管比例存在差异,但AQUA和S-NPP检测到的火焰像素数量几乎在所有情况下都呈现出显著的相关性。只有帕尔最小的城市没有显著的相关性,可能是由于低数据和/或检测位置误差。S-NPP/AQUA比值的变化可能是由于采样特征(从最低点放大像素)、分析的地理区域、卫星立交桥的时间、主要植被类型等因素造成的。因此,没有一个唯一的公式来调整AQUA数据到S-NPP,变化将在不同的位置持续存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative differences in detection of fire pixels using Aqua/MODIS and NPP-Suomi/VIIRS satellites
Since 2002, the AQUA (MODIS) satellite has been used as a “reference” by the Brazilian National Institute of Space Research to analyze spatial and temporal trends over fire pixel detection in all South America. Since this satellite will stop providing data in the near future, in order to continue the trend analyzes it will be necessary an integration and adjustment between AQUA fire pixels data with the data from the next reference satellite: the Suomi NPP (VIIRS). Therefore, this study has as objective to analyze the differences in fire pixels detection from AQUA and S-NPP satellites at country, state and municipal level. During the 10 years period assessed, the S-NPP detected, on average, 5.13 times more fire pixels than the AQUA on the South America continent. Venezuela was the country with the highest S-NPP/AQUA ratio (6.81) and Chile the lowest (3.87). When analyzing the fire pixels only in the Brazilian states, Acre presented the lowest S-NPP/AQUA ratio (3,72), while in Sergipe the highest (10,07). In the Pará’s municipalities, the lowest S-NPP/AQUA ratio was in Quatipuru (2.84), while the highest in Ananindeua (11.25). Despite the differences in the ratio, the number of fire pixels detected by the AQUA and S-NPP presented, almost in all cases, a significant correlation. Only the smallest municipalities in Pará had no significant correlation, probably due to low data and/or detection location errors. The changes in the S-NPP/AQUA ratio occurred probably due to factors such as sampling characteristics (pixel enlargement away from nadir), geographic area analyzed, timing of satellite overpasses, predominant type of vegetation, and others. Therefore, there isn’t one unique formula to adjust AQUA data to S-NPP, variations will persist at different locations.
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