Abstract
Abstract. Creating high-performance means to manage massive hyperspectral data (HSD) arrays is an actual challenge when it is implemented to deal with disparate information resources. Aiming to solve this problem the present work develops tools to work with HSD in a distributed information infrastructure, i.e. primarily to use those tools in remote access mode. The main feature of presented approach is in the development of remotely accessed services, which allow users both to conduct search and retrieval procedures on HSD sets and to provide target users with tools to analyze and to process HSD in remote mode. These services were implemented within VEGA-Constellation family information systems that were extended by adding tools oriented to support the studies of certain classes of natural objects by exploring their HSD. Particular developed tools provide capabilities to conduct analysis of such objects as vegetation canopies (forest and agriculture), open soils, forest fires, and areas of thermal anomalies. Developed software tools were successfully tested on Hyperion data sets.
Highlights
A remarkable progress has been observed towards greater open access to hyperspectral data (HSD)
The main conclusion of this work is that efficient usage of Earth observation (EO) data can be achieved if we provide users with EO data sets and products and with remotely accessible SW tools to manage and analyze these data sets via Web interfaces
In order to work in information systems of VEGA family with HSD, it was necessary to solve the following tasks: create a technology for obtaining HSD from various sources including remote ones; create a technology for HSD backup which should ensure rapid search, selection and display of HSD from long-term and operational archives; create basic interfaces that should provide capabilities to analyze HSD, including complex analysis of HSD and their products, together with the other information products stored in information systems of VEGA-Constellation family
Summary
A remarkable progress has been observed towards greater open access to hyperspectral data (HSD). The main conclusion of this work is that efficient usage of EO data (fast data processing, reliable and comprehensive results, capabilities to analyze multiyear global data sets, etc.) can be achieved if we provide users with EO data sets and products and with remotely accessible SW tools to manage and analyze these data sets via Web interfaces. This approach to managing HSD is implemented in the present work.
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