Abstract Near real-time monitoring of forest disturbance is a critical tool for combating illegal logging. The only feasible data sources for near real-time monitoring over large area are remote sensing data, and historically the only sensors with repeat times sufficient for near-real time monitoring are from coarse-resolution sensors such as MODIS. The MODIS sensors onboard the Terra and Aqua satellites have provided near daily global observations in the red and NIR spectral bands at 250 m resolution since 1999. While their longevity is impressive, the sensors are nearing the end of their lifespan and the MODIS data record will be continued by the VIIRS sensor onboard Suomi NPP. But because of the spatial and spectral differences between MODIS and VIIRS, it is worth investigating whether VIIRS can replace MODIS as input data for near real-time monitoring. In this article, we compared the performance of the NRT-CCDC (Near Real-Time Continuous Change Detection and Classification) algorithm using the Terra/ and Aqua/MODIS composites at 250 m resolution, Terra/MODIS 250 m and 500 m surface reflectance, Aqua/MODIS 250 m and 500 m surface reflectance, and VIIRS 500 m surface reflectance. We found that the algorithm using composites from both MODIS sensors and Terra/MODIS data at 250 m resolution outperformed the results obtained when using VIIRS data. The results were similar when using 500 m data from Terra/MODIS alone compared to VIIRS data. We found that a morning overpass, like that of Terra, is preferable to an afternoon overpass, which is employed by VIIRS and Aqua. Spatial and temporal resolution of the input data are two key factors in successful near real-time monitoring of forest disturbance.

中文翻译：

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VIIRS 能否延续 MODIS 的传统，对热带森林干扰进行近实时监测？

摘要 近乎实时的森林干扰监测是打击非法采伐的重要工具。大面积近实时监测唯一可行的数据源是遥感数据，历史上唯一具有足够近实时监测重复次数的传感器来自MODIS等粗分辨率传感器。自 1999 年以来，Terra 和 Aqua 卫星上的 MODIS 传感器以 250 m 的分辨率在红色和 NIR 光谱波段提供近乎日常的全球观测。虽然它们的寿命令人印象深刻，但传感器的寿命已接近尾声，MODIS 数据记录将由 Suomi NPP 上的 VIIRS 传感器继续。但由于 MODIS 和 VIIRS 之间的空间和光谱差异，值得研究的是 VIIRS 是否可以替代 MODIS 作为近实时监测的输入数据。在本文中，我们比较了使用 Terra/ 和 Aqua/MODIS 复合材料在 250 m 分辨率、Terra/MODIS 250 m 和 500 m 表面反射率下的 NRT-CCDC（近实时连续变化检测和分类）算法的性能， Aqua/MODIS 250 m 和 500 m 表面反射率，以及 VIIRS 500 m 表面反射率。我们发现使用 MODIS 传感器和 Terra/MODIS 数据在 250 m 分辨率的复合材料的算法优于使用 VIIRS 数据时获得的结果。与 VIIRS 数据相比，单独使用来自 Terra/MODIS 的 500 m 数据时的结果相似。我们发现，像 Terra 那样的早晨立交桥比 VIIRS 和 Aqua 使用的下午立交桥更可取。