Soil-geomorphological mapping of Samoylov Island based on UAV imaging

Soil-geomorphological mapping is a reliable tool for analyzing the patterns of soil distribution in various parts of Earth’s surface. Cryogenic and watershed areas are the most dynamic landscapes with relatively rapid transformation under the influence of climate change and river activity. The soil-...

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Published in:Frontiers in Environmental Science
Main Authors: Vyacheslav Polyakov, Andrei Kartoziia, Timur Nizamutdinov, Wenjuan Wang, Evgeny Abakumov
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
UAV
geo
Online Access:https://doi.org/10.3389/fenvs.2022.948367
https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:07c026b6073a4feaa180f499cabbaa7b 2023-05-15T17:07:40+02:00 Soil-geomorphological mapping of Samoylov Island based on UAV imaging Vyacheslav Polyakov Andrei Kartoziia Timur Nizamutdinov Wenjuan Wang Evgeny Abakumov 2022-09-01 https://doi.org/10.3389/fenvs.2022.948367 https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b en eng Frontiers Media S.A. 2296-665X doi:10.3389/fenvs.2022.948367 https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b undefined Frontiers in Environmental Science, Vol 10 (2022) Lena River Delta Samoylov Island remote sensing UAV soil-geomorphological map geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.3389/fenvs.2022.948367 2023-01-22T19:34:36Z Soil-geomorphological mapping is a reliable tool for analyzing the patterns of soil distribution in various parts of Earth’s surface. Cryogenic and watershed areas are the most dynamic landscapes with relatively rapid transformation under the influence of climate change and river activity. The soil-geomorphological map obtained by unmanned aerial vehicle (UAV) imaging, classical soil sections, geomorphological observation, and determination of the main chemical parameters of soils are presented. Mapping of the spatial distribution was performed using QGIS 3.22, SAGA GIS 7.9.1, and ArcGIS 10.6 software. The investigation of soil cover was performed according to WRB soil classification. From the obtained data, four types of soils were identified due to their position in the relief and chemical parameters. The dominant soil type is Folic Cryosol (Siltic) (41.1%) which is formed on the periglacial landscape of wet polygons on Samoylov Island. The application of high-resolution UAV imaging to construct soil-geomorphological maps is the most relevant method for analyzing soils formed in cryogenic, watershed, and mountainous landscapes. Based on SOC distribution, it was found that the highest SOC content corresponds to Holocene terrace (Cryosol and Histosol soil types), in areas that are not subject to the flooding process. According to the analysis of the chemical composition of soils, it was found that the main elements accumulating in the soil are SiO2, Al2O3, CaO, and K2O, which have a river origin. The soil-geomorphological maps can be used to analyze the reserves and contents of organic and inorganic components with high accuracy. Article in Journal/Newspaper lena river Unknown Frontiers in Environmental Science 10
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic Lena River Delta
Samoylov Island
remote sensing
UAV
soil-geomorphological map
geo
envir
spellingShingle Lena River Delta
Samoylov Island
remote sensing
UAV
soil-geomorphological map
geo
envir
Vyacheslav Polyakov
Andrei Kartoziia
Timur Nizamutdinov
Wenjuan Wang
Evgeny Abakumov
Soil-geomorphological mapping of Samoylov Island based on UAV imaging
topic_facet Lena River Delta
Samoylov Island
remote sensing
UAV
soil-geomorphological map
geo
envir
description Soil-geomorphological mapping is a reliable tool for analyzing the patterns of soil distribution in various parts of Earth’s surface. Cryogenic and watershed areas are the most dynamic landscapes with relatively rapid transformation under the influence of climate change and river activity. The soil-geomorphological map obtained by unmanned aerial vehicle (UAV) imaging, classical soil sections, geomorphological observation, and determination of the main chemical parameters of soils are presented. Mapping of the spatial distribution was performed using QGIS 3.22, SAGA GIS 7.9.1, and ArcGIS 10.6 software. The investigation of soil cover was performed according to WRB soil classification. From the obtained data, four types of soils were identified due to their position in the relief and chemical parameters. The dominant soil type is Folic Cryosol (Siltic) (41.1%) which is formed on the periglacial landscape of wet polygons on Samoylov Island. The application of high-resolution UAV imaging to construct soil-geomorphological maps is the most relevant method for analyzing soils formed in cryogenic, watershed, and mountainous landscapes. Based on SOC distribution, it was found that the highest SOC content corresponds to Holocene terrace (Cryosol and Histosol soil types), in areas that are not subject to the flooding process. According to the analysis of the chemical composition of soils, it was found that the main elements accumulating in the soil are SiO2, Al2O3, CaO, and K2O, which have a river origin. The soil-geomorphological maps can be used to analyze the reserves and contents of organic and inorganic components with high accuracy.
format Article in Journal/Newspaper
author Vyacheslav Polyakov
Andrei Kartoziia
Timur Nizamutdinov
Wenjuan Wang
Evgeny Abakumov
author_facet Vyacheslav Polyakov
Andrei Kartoziia
Timur Nizamutdinov
Wenjuan Wang
Evgeny Abakumov
author_sort Vyacheslav Polyakov
title Soil-geomorphological mapping of Samoylov Island based on UAV imaging
title_short Soil-geomorphological mapping of Samoylov Island based on UAV imaging
title_full Soil-geomorphological mapping of Samoylov Island based on UAV imaging
title_fullStr Soil-geomorphological mapping of Samoylov Island based on UAV imaging
title_full_unstemmed Soil-geomorphological mapping of Samoylov Island based on UAV imaging
title_sort soil-geomorphological mapping of samoylov island based on uav imaging
publisher Frontiers Media S.A.
publishDate 2022
url https://doi.org/10.3389/fenvs.2022.948367
https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b
genre lena river
genre_facet lena river
op_source Frontiers in Environmental Science, Vol 10 (2022)
op_relation 2296-665X
doi:10.3389/fenvs.2022.948367
https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b
op_rights undefined
op_doi https://doi.org/10.3389/fenvs.2022.948367
container_title Frontiers in Environmental Science
container_volume 10
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