Abstract Field surveys are an important source of data for several scientific studies. Hydrological optics investigations require a large amount of optical data acquired using sensors from distinct manufacturers built with specific technologies. Consequently, rapid and integrated processing can be difficult due to several challenges, such as non-standard outputs, multidimensional resolutions of data (spatial, temporal, and spectral), mismatched sampling, sensor-specific corrections, and manufacturer proprietary software. In this context, we propose a procedure to overcome the drawbacks of processing multisource and multidimensional datasets. Our main goal is to provide a platform that integrates and analyzes datasets acquired from five sensors commonly used by the hydrological optics community. We can summarize the contribution of this work with three resources: a management model for datasets from field surveys, a processing workflow that describes all the correction steps by grouping protocols to integrate data, and an online system, Aquopts, which is a resources for storage, integration, correction, processing, and analysis. Aquopts has provided resources that have been used in several published studies in recognized geoscience journals supported by our rapid delivering system and integrated dataset processing.

中文翻译：

---

Aquopts：用于多维生物光学数据集成和校正的多源处理系统

摘要 实地调查是多项科学研究的重要数据来源。水文光学调查需要使用不同制造商采用特定技术构建的传感器获取大量光学数据。因此，由于一些挑战，例如非标准输出、数据的多维分辨率（空间、时间和光谱）、不匹配的采样、特定于传感器的校正和制造商专有软件，快速和集成处理可能很困难。在这种情况下，我们提出了一个程序来克服处理多源和多维数据集的缺点。我们的主要目标是提供一个平台，集成和分析从水文光学界常用的五个传感器获取的数据集。我们可以用三个资源来总结这项工作的贡献：现场调查数据集的管理模型，通过分组协议来描述所有校正步骤以集成数据的处理工作流，以及一个在线系统 Aquopts，它是一种存储资源、积分、校正、处理和分析。Aquopts 提供的资源已在我们的快速交付系统和集成数据集处理的支持下，在公认的地球科学期刊上的几项已发表研究中使用。