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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ftdoajarticles: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 2022-09-01T00:00:00Z https://doi.org/10.3389/fenvs.2022.948367 https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fenvs.2022.948367/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2022.948367 https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b Frontiers in Environmental Science, Vol 10 (2022) Lena River Delta Samoylov Island remote sensing UAV soil-geomorphological map Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.3389/fenvs.2022.948367 2022-12-30T22:07:03Z 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 Directory of Open Access Journals: DOAJ Articles Frontiers in Environmental Science 10 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Lena River Delta Samoylov Island remote sensing UAV soil-geomorphological map Environmental sciences GE1-350 |
spellingShingle |
Lena River Delta Samoylov Island remote sensing UAV soil-geomorphological map Environmental sciences GE1-350 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 Environmental sciences GE1-350 |
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 |
https://www.frontiersin.org/articles/10.3389/fenvs.2022.948367/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2022.948367 https://doaj.org/article/07c026b6073a4feaa180f499cabbaa7b |
op_doi |
https://doi.org/10.3389/fenvs.2022.948367 |
container_title |
Frontiers in Environmental Science |
container_volume |
10 |
_version_ |
1766063149963804672 |