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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 6, pp. 103-111

The organization of remote sensing data processing for solving the problems of deforestation detection in large areas

A.V. Kashnitskii 1 , T.S. Khovratovich 1 , I.V. Balashov 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 01.11.2019
DOI: 10.21046/2070-7401-2019-16-6-103-111
The paper describes a specialized satellite data processing unit designed to detect changes in forests associated with deforestation. This data processing unit implements the previously proposed method of detecting forest cutting using satellite data of Landsat and Sentinel-2 systems. It is based on the use of cloud-based software solutions, in which the entire required amount of satellite data is located in storage centers and data processing is performed remotely using distributed shared resources. The proposed processing unit is provided to researchers in the form of a special tool as part of the VEGA-Primorie information system and the VEGA-Science satellite service for collective use. The paper describes how it is used to search, select, analyze and process remote sensing data from large distributed archives. Separately, the principles of combining the results obtained into a single map of deforestation are discussed. Experimental testing of the instrument in a number of regions has shown that the proposed approach allows us not only to avoid the transfer of large amounts of information, but also to significantly simplify the processing of remote sensing data in the task of detecting deforestation. With the help of the developed tool, the opportunities are open for mass detection of deforestation for a long time and over a large area, as well as quick and independent analysis of data on deforestation sites in any local region in Russia.
Keywords: deforestation, detection of changes, detection of deforestation, remote sensing, information system, forest monitoring, logging detection tool
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