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A decision support tool for the optimization of compositing parameters

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Temporal syntheses of surface reflectance are one of the most common data products from high temporal resolution instruments. Such an image combination procedure is sensitive to several control parameters, including the compositing period. Unfortunately, these choices usually rely on a unique and global solution delivered by the data provider to ensure temporal and spatial consistency across applications. However, many applications require customized composites to achieve their goals and meet regional constraints. Although this need is now widely recognized by the scientific community, practitioners still rely on trial and error and ad hoc adjustments in designing their approach. The objective of this paper is to design, implement, and test a decision support tool that can find the most appropriate compositing parameters for coarse- to medium-resolution sensors. The key innovation of this approach is that it incorporates external data on the cloud cover and seasonality of the region studied. The algorithm can be applied to any region of the globe and to any optical satellite instrument recording surface reflectance over time. The tool allows data users to optimize the compositing parameters to their application subject and to regional conditions. It can also be used to determine the feasibility of a proposed compositing process. The potential of this methodology to improve the relevancy and the quality of time series products is demonstrated by testing it on two specific applications.
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Document Type: Research Article

Affiliations: Department of Environmental Sciences and Land Use Planning, Universite Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium

Publication date: January 1, 2009

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