The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra
The methods of digital mapping are promising for creating soil maps on difficultly accessible territories. This study was aimed at searching of optimal approaches for digital mapping of the soil cover in poorly studied western part of the Bol’shezemel’skaya tundra on different scales. Medium-scale (...
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V.V. Dokuchaev Soil Science Institute
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Online Access: | https://doi.org/10.19047/0136-1694-2019-99-21-46 https://doaj.org/article/967bb44ea70e4a04a56e543580a243f2 |
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ftdoajarticles:oai:doaj.org/article:967bb44ea70e4a04a56e543580a243f2 2024-01-28T10:09:29+01:00 The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra V. N. Vekshina 2019-12-01T00:00:00Z https://doi.org/10.19047/0136-1694-2019-99-21-46 https://doaj.org/article/967bb44ea70e4a04a56e543580a243f2 RU rus V.V. Dokuchaev Soil Science Institute https://bulletin.esoil.ru/jour/article/view/377 https://doaj.org/toc/0136-1694 https://doaj.org/toc/2312-4202 0136-1694 2312-4202 doi:10.19047/0136-1694-2019-99-21-46 https://doaj.org/article/967bb44ea70e4a04a56e543580a243f2 Бюллетень Почвенного института им. В.В. Докучаева, Vol 0, Iss 99, Pp 21-46 (2019) digital soil maps tundra-taiga ecotone remote sensing data landsat 8 aster gdem lwci ndvi mndwi random forest map evaluation Agriculture (General) S1-972 article 2019 ftdoajarticles https://doi.org/10.19047/0136-1694-2019-99-21-46 2023-12-31T01:46:18Z The methods of digital mapping are promising for creating soil maps on difficultly accessible territories. This study was aimed at searching of optimal approaches for digital mapping of the soil cover in poorly studied western part of the Bol’shezemel’skaya tundra on different scales. Medium-scale (1 : 200 000) and small-scale (1 : 1 M) soil maps served as the source of initial information about soils of this region; actual information of the state of the territory was obtained from remote sensing data (Landsat 8 scenes, Aug. 14, 2013) and digital elevation model ASTER GDEM v.2. After extraction of information and the choice of predictors, the analysis of digital soil cover models obtained with the use of different algorithms – Random Forest (RF), Multinomial Logistic Regression (MLR) and Linear Discriminant Analysis (LDA) – was performed. The coefficient of agreement between the newly developed digital models and the initial paper-based soil maps (kappa) was calculated. This test demonstrated that the RF algorithm ensures the best results, so the final digital maps were obtained using it. Averaged kappa values for the compared small- and medium-scale models were as follows: RF – 0.39 and 0.36; MLR – 0.31 and 0.31; and LDA – 0.28 and 0.18, respectively. After the preliminary correction of the initial medium-scale map, the kappa values somewhat increased (RF – 0.39, MLR – 0.35, LDA – 0.30). At the stage of evaluation of digital soil maps obtained with the use of RF algorithm, these maps and the initial soil maps were compared with independent point-size terrain data. The degree of agreement between these data and the new digital soil maps proved to be no less than that for the initial maps. For the initial and digital small-scale maps, it reached 24 and 26 %, respectively; for the initial and digital medium-scale maps, 54 and 43 %, respectively. After the preliminary correction of the initial medium-scale map, the degree of agreement between the digital model and terrain data improved considerably and reached 61 ... Article in Journal/Newspaper taiga Tundra Directory of Open Access Journals: DOAJ Articles Bol’shezemel’skaya Tundra ENVELOPE(58.000,58.000,67.500,67.500) Dokuchaev Soil Bulletin 99 21 46 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
Russian |
topic |
digital soil maps tundra-taiga ecotone remote sensing data landsat 8 aster gdem lwci ndvi mndwi random forest map evaluation Agriculture (General) S1-972 |
spellingShingle |
digital soil maps tundra-taiga ecotone remote sensing data landsat 8 aster gdem lwci ndvi mndwi random forest map evaluation Agriculture (General) S1-972 V. N. Vekshina The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra |
topic_facet |
digital soil maps tundra-taiga ecotone remote sensing data landsat 8 aster gdem lwci ndvi mndwi random forest map evaluation Agriculture (General) S1-972 |
description |
The methods of digital mapping are promising for creating soil maps on difficultly accessible territories. This study was aimed at searching of optimal approaches for digital mapping of the soil cover in poorly studied western part of the Bol’shezemel’skaya tundra on different scales. Medium-scale (1 : 200 000) and small-scale (1 : 1 M) soil maps served as the source of initial information about soils of this region; actual information of the state of the territory was obtained from remote sensing data (Landsat 8 scenes, Aug. 14, 2013) and digital elevation model ASTER GDEM v.2. After extraction of information and the choice of predictors, the analysis of digital soil cover models obtained with the use of different algorithms – Random Forest (RF), Multinomial Logistic Regression (MLR) and Linear Discriminant Analysis (LDA) – was performed. The coefficient of agreement between the newly developed digital models and the initial paper-based soil maps (kappa) was calculated. This test demonstrated that the RF algorithm ensures the best results, so the final digital maps were obtained using it. Averaged kappa values for the compared small- and medium-scale models were as follows: RF – 0.39 and 0.36; MLR – 0.31 and 0.31; and LDA – 0.28 and 0.18, respectively. After the preliminary correction of the initial medium-scale map, the kappa values somewhat increased (RF – 0.39, MLR – 0.35, LDA – 0.30). At the stage of evaluation of digital soil maps obtained with the use of RF algorithm, these maps and the initial soil maps were compared with independent point-size terrain data. The degree of agreement between these data and the new digital soil maps proved to be no less than that for the initial maps. For the initial and digital small-scale maps, it reached 24 and 26 %, respectively; for the initial and digital medium-scale maps, 54 and 43 %, respectively. After the preliminary correction of the initial medium-scale map, the degree of agreement between the digital model and terrain data improved considerably and reached 61 ... |
format |
Article in Journal/Newspaper |
author |
V. N. Vekshina |
author_facet |
V. N. Vekshina |
author_sort |
V. N. Vekshina |
title |
The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra |
title_short |
The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra |
title_full |
The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra |
title_fullStr |
The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra |
title_full_unstemmed |
The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra |
title_sort |
development of digital models of the soil cover in the western part of bol’shezemel’skaya tundra |
publisher |
V.V. Dokuchaev Soil Science Institute |
publishDate |
2019 |
url |
https://doi.org/10.19047/0136-1694-2019-99-21-46 https://doaj.org/article/967bb44ea70e4a04a56e543580a243f2 |
long_lat |
ENVELOPE(58.000,58.000,67.500,67.500) |
geographic |
Bol’shezemel’skaya Tundra |
geographic_facet |
Bol’shezemel’skaya Tundra |
genre |
taiga Tundra |
genre_facet |
taiga Tundra |
op_source |
Бюллетень Почвенного института им. В.В. Докучаева, Vol 0, Iss 99, Pp 21-46 (2019) |
op_relation |
https://bulletin.esoil.ru/jour/article/view/377 https://doaj.org/toc/0136-1694 https://doaj.org/toc/2312-4202 0136-1694 2312-4202 doi:10.19047/0136-1694-2019-99-21-46 https://doaj.org/article/967bb44ea70e4a04a56e543580a243f2 |
op_doi |
https://doi.org/10.19047/0136-1694-2019-99-21-46 |
container_title |
Dokuchaev Soil Bulletin |
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99 |
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21 |
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46 |
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1789339454184357888 |