While there is a strong need for hyperspectral imagery, the user-driven requirements are not well defined in view of defined protocols for calibration, acquisition, processing and in-situ measurements in compliance with existing standards. Therefore an analysis was performed in the frame of the EC project HYRESSA, regarding the question “What are the individual user requirements on hyperspectral imagery and the related data products?”. For this analysis a questionnaire and a subsequent benefit-value analysis helped to retrieve users needs and evaluate open items accordingly. Following the methodology of the Value-Benefit Analysis (VBA), the answer can be described in hierarchical ordered multidimensional objective model.
The VBA serves as well-known tool for systematic problem solving process as a possibility of comparing projects or solutions. It enables the evaluation on the basis of a multidimensional objective model and can be extended by expert’s preferences. Therefore the scaling method (Law of Comparative Judgment) was applied for receiving the desired ranking judgments. The result, which is the relative value of projects concerning a well-defined main objective can now be produced analytically.
The investigation showed – besides details on user needs – that a VBA is a suitable method to analyse needs of hyperspectral data and to support sensor/data specification-building process. The VBA has the advantage, to be easy and clear to handle, resulting in a comprehensive evaluation. The disadvantage are the necessary efforts and the partly non-availability of all sensor data parameters. The paper summarizes all results of the analysis and gives insight to VBA methodology, statistics and others more.