Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia
Evaluation of the vegetation and agricultural-management factor (C-factor) is an important task, the solution of which affects the correct assessment of the intensity of soil erosion. For the vast area of the European part of Russia (EPR), this task is particularly relevant since no products allow t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/10/645 |
| _version_ | 1797514435361767424 |
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| author | Svetlana Mukharamova Anatoly Saveliev Maxim Ivanov Artur Gafurov Oleg Yermolaev |
| author_facet | Svetlana Mukharamova Anatoly Saveliev Maxim Ivanov Artur Gafurov Oleg Yermolaev |
| author_sort | Svetlana Mukharamova |
| collection | DOAJ |
| description | Evaluation of the vegetation and agricultural-management factor (C-factor) is an important task, the solution of which affects the correct assessment of the intensity of soil erosion. For the vast area of the European part of Russia (EPR), this task is particularly relevant since no products allow taking into account the C-factor. An approach based on automated interpretation of the main crop groups based on MODIS satellite imaging data from Terra and Aqua satellites with the LSTM machine-learning method was used to achieve this goal. The accuracy of crop group recognition compared to the open data of the Federal State Statistics Service of Russia was 94%. The resulting crop maps were used to calculate the C-factor for each month of a particular year from 2014 to 2019. After that, summaries were made at the regional and landscape levels. The average C-factor value for the EPR was 0.401, for the forest landscape zone 0.262, for the forest-steppe zone 0.362, and for the steppe zone 0.454. The obtained results are in good correlation with the results of previous field studies and provide up-to-date (based on 2014–2019 data) estimates of C-factor for rainfall erosion (monthly, annual) with high spatial detail (250 m). |
| first_indexed | 2024-03-10T06:31:35Z |
| format | Article |
| id | doaj.art-32076b6b7bdd47eba68ad4bedf99c362 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T06:31:35Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-32076b6b7bdd47eba68ad4bedf99c3622023-11-22T18:29:17ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-09-01101064510.3390/ijgi10100645Estimating the Soil Erosion Cover-Management Factor at the European Part of RussiaSvetlana Mukharamova0Anatoly Saveliev1Maxim Ivanov2Artur Gafurov3Oleg Yermolaev4Institute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaInstitute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaInstitute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaInstitute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaInstitute of Environmental Sciences, Kazan Federal University, 420008 Kazan, RussiaEvaluation of the vegetation and agricultural-management factor (C-factor) is an important task, the solution of which affects the correct assessment of the intensity of soil erosion. For the vast area of the European part of Russia (EPR), this task is particularly relevant since no products allow taking into account the C-factor. An approach based on automated interpretation of the main crop groups based on MODIS satellite imaging data from Terra and Aqua satellites with the LSTM machine-learning method was used to achieve this goal. The accuracy of crop group recognition compared to the open data of the Federal State Statistics Service of Russia was 94%. The resulting crop maps were used to calculate the C-factor for each month of a particular year from 2014 to 2019. After that, summaries were made at the regional and landscape levels. The average C-factor value for the EPR was 0.401, for the forest landscape zone 0.262, for the forest-steppe zone 0.362, and for the steppe zone 0.454. The obtained results are in good correlation with the results of previous field studies and provide up-to-date (based on 2014–2019 data) estimates of C-factor for rainfall erosion (monthly, annual) with high spatial detail (250 m).https://www.mdpi.com/2220-9964/10/10/645soil erosionC-factorEuropean part of Russiaarable landcropsMODIS |
| spellingShingle | Svetlana Mukharamova Anatoly Saveliev Maxim Ivanov Artur Gafurov Oleg Yermolaev Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia ISPRS International Journal of Geo-Information soil erosion C-factor European part of Russia arable land crops MODIS |
| title | Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia |
| title_full | Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia |
| title_fullStr | Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia |
| title_full_unstemmed | Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia |
| title_short | Estimating the Soil Erosion Cover-Management Factor at the European Part of Russia |
| title_sort | estimating the soil erosion cover management factor at the european part of russia |
| topic | soil erosion C-factor European part of Russia arable land crops MODIS |
| url | https://www.mdpi.com/2220-9964/10/10/645 |
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