Assessment of the soil and vegetation cover condition of the river basin based on remote sensing data
P.S. Shutov, T.A. Trifonova, N.V. Mishchenko
Section: Monitoring of natural and anthropogenically disturbed areas
The aim of this work was to summarize the studies devoted to the soil and vegetation cover assessment of the river basin on the example of the Klyazma River catchment using remote data for a 17-year period. The remote data from the MODIS/Terra+Aqua Land Cover Land Cover, Landsat ETM+ and Meteor with different spatial resolutions were used in the work. The assessment of land use structure dynamics was carried out for the Klyazma River basin as a whole, as well as for individual landscapes. According to MODIS data there is a common trend towards an increase (about 9%) in the area of forest vegetation and a decrease in arable land and pastures for most of the basin. The exception is the interfluve of the Lukh River, where there is a decrease in forest lands and their transition to wetlands. Different landscapes of the Klyazma Rivers basin vary in both the rate and intensity of organic matter accumulation in the form of gross and net primary production as well as respond differently to climatic changes and land use change. However, the unified ecosystem of an entire river basin is more stable compared to its constituent landscapes. The remote sensing data allowed us to establish that the deep valley of the Rpen River (a tributary of the Klyazma River) forms an air flow that carries atmospheric pollution out of the Vladimir industrial zone.
Keywords: basin approach, remote sensing, land use structure, phytoproductivity, ecological monitoring
Article published in number 1 for 2024 DOI: 10.25750/1995-4301-2024-1-073-081
ISSN 1995-4301
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