A novel technique of afforestation monitoring with radar vegetation index (RVI) by ALOS-1,2 PALSAR-1,2 data and NDVI by Landsat-5/8 images is proposed. Google Earth Engine cloud platform was used for calculation of annual RVI and average values NDVI for winter (with snow cover) time of 2007-2020 years. The temporal dynamics of the afforestation site is proposed to be evaluated on the NDVI-RVI plane relative to the control areas of coniferous and mixed forests, as well as a treeless area. It is shown that these sites form a movable triangular zone, within which changes in vegetation indices characterize an increase in the projective cover of forest, the growth of aboveground biomass and the replacement/restoration of the prevailing species.
Some results of the development of a technique for determining the undergrowth height from the values range of interferometric phase based on the TerraSAR-TanDEM-X single-pass survey data are presented. The test site is a clearing in the middle of a pine forest along a power line in a mountainous area. Comparison of satellite and subsatellite measurements of the height of young growth at the test site showed the need to take into account the density and breed composition of vegetation.
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