MODEL OF GEOINFORMATION SUPPORT FOR MONITORING OF A STATE OF SOIL AND VEGETATION COVER IN THE ARCTIC, BASED ON REMOTE SENSING DATA AND SUB-SATELLITE DISTRIBUTED OBSERVATIONS

Provide an overview of methods for automated assessment of biophysical effects based on remote sensing data. The normalized relative vegetation index (NDVI) is used as a quantitative indicator of vegetation cover. A model of geoinformation support for monitoring the state of soil and vegetation cover in hard-to-reach areas of the Arctic is considered based on data obtained with modern satellite systems Sentinel-1, Landsat7, Landsat8 and MODIS. The ratio of the channels and frequency bands of these systems, as well as their combinations for carrying out the required observations, are given. The possibility of using a quantitative measure of the biosphere change (BACI) based on a combination of archival and real-time data is discussed. As portable meters, the authors consider the application of the system based on the Arduino board or the Raspberry Pi single-board computer and a set of sensors. The described methods can be used for initial survey of large areas and planning of management decisions in forestry, nature protection and rescue operations.

Authors: N. N. Popov, V. M. Abramov, L. B. Alexandrova, V. G. Burlov, G. V. Razumovsky, G.N.Tkachenko,A.N.Popova

Direction: Informatics and Computer Technologies

Keywords: Geoinformation support, remote sensing of the Earth, Landsat, Sentinel

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