ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 3, pp. 28-45

Capabilities of hyperspectral indices analysis of the Vega-Constellation remote monitoring information systems

V.P. Savorskiy 1, 2 , A.V. Kashnitskiy 2 , А.М. Konstantinova 2 , I.V. Balashov 2 , Yu.S. Krasheninnikova 2 , V.A. Tolpin 2 , S.M. Maklakov 1 , E.V. Savchenko 1 
1 V.A. Kotelnikov Institute of Radioengineering and Electronics RAS, Fryazino Dept., Fryazino, Moscow Region, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 09.06.2016
DOI: 10.21046/2070-7401-2016-13-3-28-45
The main purpose of the work was to expand the functionality of the Vega-Constellation information systems by updating them with new services to handle hyperspectral data (HSD) sets. These services had to be tailored to assist the user in the study of a particular type (class) of natural objects using hyperspectral indices (HSI). To achieve this goal, a range of universal analytical tools to work with HSD were created. At the first stage of the work, forest and agricultural areas were chosen as target investigation objects. The capabilities of various HSI to reliably and accurately reflect the states of an object under investigation were analyzed. For each object, a set of HSI was selected for inclusion in the Vega-Constellation basic HSI services. In addition, Vega-Constellation was developed to provide custom HSI services enabling the user to generate his own, i.e. user-defined, HSI sets, which was intended to improve the assessment of the objects states in specific climatic conditions. The effectiveness of the web tools developed for the analysis of HSI was confirmed by examples given in the paper. In particular, with the help of the tools it was clearly demonstrated that using targeted indices, such as DWSI5, for estimating the irrigation efficiency was more expedient in comparison to using NDVI for these purposes.
Keywords: remote sensing of the Earth, hyperspectral data, hyperspectral indices, Vega-Constellation
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