Possibilities of remote sensing data in the assessment of the thickness of the top layer of distributed soil

DOI: 10.35595/2414-9179-2020-3-26-210-220

View or download the article (Rus)

About the Authors

Aleksey N. Chashchin

FSBEI HE “Perm State Agro-Technological University named after academician D.N. Pryanishnikov”,
Petropavlovskaya str., 23, 614990, Perm, Russia,
E-mail: chascshin@mail.ru

Vitaliy Yu. Gilev

FSBEI HE “Perm State Agro-Technological University named after academician D.N. Pryanishnikov”,
Petropavlovskaya str., 23, 614990, Perm, Russia,

Abstract

An important indicator of soil fertility is the thickness of the fertile layer, which is significantly reduced during anthropogenic impact and partially restored during reclamation. The data of remote sensing of the Earth (RS) allow to quickly evaluate the thickness of the fertile soil layer of disturbed areas. The purpose of the work is to study the possibility of using the vegetation index NDVI for remote assessment of the thickness of the fertile layer of technologically disturbed soils. The object of research is the soil cover of agricultural land represented on 26 land plots with a total area of 3 ha. According to satellite images, the initial state of the soil cover of the territory was uniform. The NDVI cartograms reflect the dynamics of projective cover by plants in space and time. According to NDVI, a significant change in the projective cover was established compared with the initial state of the territory. It was established that the thickness size of the applied fertile layer affects the rate of development of biomass of herbaceous plants. The closest reliable relationship between NDVI and the fertile soil layer is observed after the appearance of the first seedlings in the reclaimed territiry. The correlation coefficients of NDVI with the thickness of the fertile soil layer are 0.65 on average over the plots and 0.71 at specific points of measurement of the fertile layer.

Keywords

Perm region, land reclamation, NDVI, Landsat data, Sentinel-2 data

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For citation: Chashchin A.N., Gilev V.Yu. Possibilities of remote sensing data in the assessment of the thickness of the top layer of distributed soil. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2020. V. 26. Part 3. P. 210–220. DOI: 10.35595/2414-9179-2020-3-26-210-220 (in Russian)