Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model
The aim of this study was the spatial and temporal monitoring of soil erosion patterns in Iran. The G2 model was used, as an appropriate tool to provide the required month-time step country-wide soil loss maps and statistical outputs. The input parameters were derived with field surveys and remote s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2021.1919230 |
| _version_ | 1797678507300487168 |
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| author | Shahin Mohammadi Fatemeh Balouei Khadijeh Haji Abdulvahed Khaledi Darvishan Christos G. Karydas |
| author_facet | Shahin Mohammadi Fatemeh Balouei Khadijeh Haji Abdulvahed Khaledi Darvishan Christos G. Karydas |
| author_sort | Shahin Mohammadi |
| collection | DOAJ |
| description | The aim of this study was the spatial and temporal monitoring of soil erosion patterns in Iran. The G2 model was used, as an appropriate tool to provide the required month-time step country-wide soil loss maps and statistical outputs. The input parameters were derived with field surveys and remote sensing imagery (MODIS, SRTM, SPOT, and Sentinel-2 scenes). An innovation for G2 was the consideration of the snow cover effect on the rainfall erosivity. It was also the first time G2 was used to map such a big country like Iran on a country scale. The mean annual soil erosion in Iran was found to be 16.5 t ha−1, which is equal to about 2.7 billion tons of soil loss. In spatial terms, the highest soil loss values were found in the north, west and southwest part of Iran, in the steep slopes in Alborz and Zagros mountains. In temporal terms, the highest and lowest monthly erosion values of 3.2 and 0.09 t ha−1 correspond to January and July, respectively. |
| first_indexed | 2024-03-11T23:00:46Z |
| format | Article |
| id | doaj.art-ae4de0eb41554d00a622343be81356b1 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:00:46Z |
| publishDate | 2021-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-ae4de0eb41554d00a622343be81356b12023-09-21T14:57:10ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552021-08-011481019103910.1080/17538947.2021.19192301919230Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 modelShahin Mohammadi0Fatemeh Balouei1Khadijeh Haji2Abdulvahed Khaledi Darvishan3Christos G. Karydas4Shahid Chamran University of AhvazIsfahan University of TechnologyTarbiat Modares UniversityTarbiat Modares UniversityRemote Sensing EngineerThe aim of this study was the spatial and temporal monitoring of soil erosion patterns in Iran. The G2 model was used, as an appropriate tool to provide the required month-time step country-wide soil loss maps and statistical outputs. The input parameters were derived with field surveys and remote sensing imagery (MODIS, SRTM, SPOT, and Sentinel-2 scenes). An innovation for G2 was the consideration of the snow cover effect on the rainfall erosivity. It was also the first time G2 was used to map such a big country like Iran on a country scale. The mean annual soil erosion in Iran was found to be 16.5 t ha−1, which is equal to about 2.7 billion tons of soil loss. In spatial terms, the highest soil loss values were found in the north, west and southwest part of Iran, in the steep slopes in Alborz and Zagros mountains. In temporal terms, the highest and lowest monthly erosion values of 3.2 and 0.09 t ha−1 correspond to January and July, respectively.http://dx.doi.org/10.1080/17538947.2021.1919230digital earthland degradationsediment yieldsentinel-2snow cover effect |
| spellingShingle | Shahin Mohammadi Fatemeh Balouei Khadijeh Haji Abdulvahed Khaledi Darvishan Christos G. Karydas Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model International Journal of Digital Earth digital earth land degradation sediment yield sentinel-2 snow cover effect |
| title | Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model |
| title_full | Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model |
| title_fullStr | Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model |
| title_full_unstemmed | Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model |
| title_short | Country-scale spatio-temporal monitoring of soil erosion in Iran using the G2 model |
| title_sort | country scale spatio temporal monitoring of soil erosion in iran using the g2 model |
| topic | digital earth land degradation sediment yield sentinel-2 snow cover effect |
| url | http://dx.doi.org/10.1080/17538947.2021.1919230 |
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