Abstract Satellite remote sensing data are critical for assessing ecosystem state and evaluating long-term trends and shifts in ecosystem components. Many operational tools rely on continuous streams of remote sensing data, and when a satellite sensor reaches the end of its designed lifespan, these tools must be transferred to a more reliable data stream. Transferring between data streams can produce discontinuities in tool products, and it is important to quantify these downstream impacts and understand the mechanisms that cause discontinuity. To illustrate the complexities of tool transfer, we compare five products for ocean chlorophyll-a, which is a proxy for phytoplankton biomass and an important input for tools that monitor marine biophysical processes. The five chlorophyll-a products included three blended products and two single sensor products from MODIS and VIIRS. We explored the downstream impacts of tool transfer using EcoCast: an operational dynamic ocean management tool that combines real-time predictions from target and bycatch species distribution models to produce integrated surfaces of fishing suitability. EcoCast was operationalized using MODIS chlorophyll-a, and we quantify the impacts of transferring to the intended replacement of MODIS, VIIRS, and test if impacts can be minimized by using a blended chlorophyll-a product instead. Differences between chlorophyll products did not linearly propagate through to the species model predictions and the integrated fishing suitability surfaces. Instead, differences in species model predictions were determined by the shape of chlorophyll-a response curves in the species models relative to chlorophyll-a differences between sensors. However, differences in the integrated fishing suitability surfaces were reduced by canceling of differences from individual species model predictions. Differences in the integrated fishing suitability surfaces were not reduced by transferring to a blended product, highlighting the complexity of transferring operational tools between different remote sensing data products. These results contribute to our general understanding of the mechanisms by which transferring between data streams impacts downstream products. To aid decision-making regarding tool transfer, we developed an interactive web application that allows end-users to explore differences in chlorophyll products within times period and regions of interest.

中文翻译：

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在海洋颜色产品之间转移可操作的动态海洋管理工具的注意事项

摘要 卫星遥感数据对于评估生态系统状态和评估生态系统组成部分的长期趋势和变化至关重要。许多操作工具依赖于连续的遥感数据流，当卫星传感器达到其设计使用寿命时，必须将这些工具转换为更可靠的数据流。数据流之间的传输可能会导致工具产品出现不连续性，量化这些下游影响并了解导致不连续性的机制非常重要。为了说明工具转移的复杂性，我们比较了海洋叶绿素-a 的五种产品，它是浮游植物生物量的代表，也是监测海洋生物物理过程的工具的重要输入。五种叶绿素-a 产品包括来自 MODIS 和 VIIRS 的三种混合产品和两种单一传感器产品。我们使用 EcoCast 探索了工具转移对下游的影响：一种可操作的动态海洋管理工具，结合了目标和兼捕物种分布模型的实时预测，以产生综合的捕捞适宜性表面。EcoCast 使用 MODIS 叶绿素-a 进行操作，我们量化转移到 MODIS、VIIRS 的预期替代品的影响，并测试是否可以通过使用混合叶绿素-a 产品来最大限度地减少影响。叶绿素产品之间的差异不会线性传播到物种模型预测和综合捕捞适宜性表面。反而，物种模型预测的差异是由物种模型中叶绿素-a 响应曲线相对于传感器之间叶绿素-a 差异的形状决定的。然而，通过消除个别物种模型预测的差异，减少了综合捕捞适宜性表面的差异。转移到混合产品并没有减少综合捕捞适宜性表面的差异，突出了在不同遥感数据产品之间转移操作工具的复杂性。这些结果有助于我们大致了解数据流之间传输影响下游产品的机制。为了帮助做出有关工具转移的决策，