Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)

For rapid and accurate assessment of the agricultural soil use it is effective to use remote sensing methods. The aim of the work was to evaluate the modern agricultural use of soil according to the data of remote sensing of the Earth of one of the agricultural enterprises of Perm region. Digitizati...

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Main Authors: Aleksey N. Chashchin, Vladimir P. Zhizhilev
Format: Article
Language:Russian
Published: Moscow Pedagogical State University, Federal State Budgetary Educational Institution of Higher Education 2020-03-01
Series:Социально-экологические технологии
Subjects:
Online Access:http://soc-ecol.ru/assessment-of-the-agricultural-soiluse-by-remote-sensing-perm-region-on-the-example-of-llc-krona-agro/
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author Aleksey N. Chashchin
Vladimir P. Zhizhilev
author_facet Aleksey N. Chashchin
Vladimir P. Zhizhilev
author_sort Aleksey N. Chashchin
collection DOAJ
description For rapid and accurate assessment of the agricultural soil use it is effective to use remote sensing methods. The aim of the work was to evaluate the modern agricultural use of soil according to the data of remote sensing of the Earth of one of the agricultural enterprises of Perm region. Digitization of a large-scale soil map of land use was carried out, the rate of soil overgrowing by woody and shrub vegetation was estimated. Based on satellite data, the modern boundaries of cultivated soils are identified. The basis for creating digital soil maps was the “Krone Agro” scanned soil map, the SRTM radar survey data of 2003 and multispectral images of the Landsat 5 series (March 1988), Landsat 8 (February 2018) and Sentinel 2 (July 2018) were used from remote materials. Creation of cartographic materials and processing of satellite images was carried out in a full-featured open source GIS Quantum GIS. Soddy-podzolic soils predominate on the farm territory and their area is 1,448.1 hectares or 27.3%. As a result of study, it was found that over the period from 1988 to 2018, soil overgrowth occurred. The area of overgrowing was 1575,9 of the total area of the studied territory. Sodbrown (50%), sod-calcareous (10%) and sod-weakly podzolic (40%) soils passed into the fallow state. As a result of the analysis of multi-temporal satellite information, we have established a tendency to reduce arable land. The area ofarable land was reduced by 40 percent, while the number of fields decreased from 35 to 26. In the soil cover of existing fields, the proportion of soil cover with a strong contrast ratio is significant.
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spelling doaj.art-eb93e65439ce45fe99d9ed3804dc48492022-12-22T00:08:42ZrusMoscow Pedagogical State University, Federal State Budgetary Educational Institution of Higher EducationСоциально-экологические технологии2500-29612020-03-01101769610.31862/2500-2961-2020-10-1-76-96Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)Aleksey N. Chashchin 0Vladimir P. Zhizhilev 1Perm State Agro-Technological University named after Academician D.N. PryanishnikovPerm State Agro-Technological University named after Academician D.N. PryanishnikovFor rapid and accurate assessment of the agricultural soil use it is effective to use remote sensing methods. The aim of the work was to evaluate the modern agricultural use of soil according to the data of remote sensing of the Earth of one of the agricultural enterprises of Perm region. Digitization of a large-scale soil map of land use was carried out, the rate of soil overgrowing by woody and shrub vegetation was estimated. Based on satellite data, the modern boundaries of cultivated soils are identified. The basis for creating digital soil maps was the “Krone Agro” scanned soil map, the SRTM radar survey data of 2003 and multispectral images of the Landsat 5 series (March 1988), Landsat 8 (February 2018) and Sentinel 2 (July 2018) were used from remote materials. Creation of cartographic materials and processing of satellite images was carried out in a full-featured open source GIS Quantum GIS. Soddy-podzolic soils predominate on the farm territory and their area is 1,448.1 hectares or 27.3%. As a result of study, it was found that over the period from 1988 to 2018, soil overgrowth occurred. The area of overgrowing was 1575,9 of the total area of the studied territory. Sodbrown (50%), sod-calcareous (10%) and sod-weakly podzolic (40%) soils passed into the fallow state. As a result of the analysis of multi-temporal satellite information, we have established a tendency to reduce arable land. The area ofarable land was reduced by 40 percent, while the number of fields decreased from 35 to 26. In the soil cover of existing fields, the proportion of soil cover with a strong contrast ratio is significant.http://soc-ecol.ru/assessment-of-the-agricultural-soiluse-by-remote-sensing-perm-region-on-the-example-of-llc-krona-agro/soil mapgisremote sensing dataland use soil mapsperm region
spellingShingle Aleksey N. Chashchin
Vladimir P. Zhizhilev
Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)
Социально-экологические технологии
soil map
gis
remote sensing data
land use soil maps
perm region
title Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)
title_full Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)
title_fullStr Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)
title_full_unstemmed Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)
title_short Assessment of the agricultural soil use by remote sensing (Perm Region, on the example of LLC “Krona-Agro”)
title_sort assessment of the agricultural soil use by remote sensing perm region on the example of llc krona agro
topic soil map
gis
remote sensing data
land use soil maps
perm region
url http://soc-ecol.ru/assessment-of-the-agricultural-soiluse-by-remote-sensing-perm-region-on-the-example-of-llc-krona-agro/
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