Soil erosion monitoring based on cloud computing platform
Soil erosion is one of important causes of land degradation. Soil erosion can be estimated by an empirical model (RUSLE) based on cloud computing platform (GEE). This platform has several advantages including free access, availability of spatial big data, and effective and efficient spatial data ana...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/65/bioconf_btmic2024_01031.pdf |
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| author | Rahman Fahmi Arief Hidayat Nita Lusy Yanti Supriyadi Slamet Adiputra Agung |
| author_facet | Rahman Fahmi Arief Hidayat Nita Lusy Yanti Supriyadi Slamet Adiputra Agung |
| author_sort | Rahman Fahmi Arief |
| collection | DOAJ |
| description | Soil erosion is one of important causes of land degradation. Soil erosion can be estimated by an empirical model (RUSLE) based on cloud computing platform (GEE). This platform has several advantages including free access, availability of spatial big data, and effective and efficient spatial data analysis. The objective of this study was to estimate the rate of soil erosion in Blega Watershed, Bangkalan, Madura by means of RUSLE based on Cloud Computing Platform. The data obtained from several satellites’ imageries, were processed and analysed by employing GEE platform. The data collected were CHIRPS for rainfall erosivity (R), Open Land Map Soil Texture Class for soil erodibility (K), MODIS Terra vegetation index for land cover management (C), NASA DEM SRTM for Slope length and steepness (LS), and MODIS Land Cover Type Yearly and NASA DEM SRTM for Support practice factor (P). The result showed that the rates of soil erosion in Blega watershed from 2018 to 2022 respectively were 1.1490, 1.1320, 1.1388, 1.1491, and 1.1595 ton/ha/yr and therefore categorized as very low. The fluctuation of soil erosion in the study area was mainly caused by changes in R and C factor. |
| format | Article |
| id | doaj-art-93127ca2ee454fa5a238692f2341bc53 |
| institution | OA Journals |
| issn | 2117-4458 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-93127ca2ee454fa5a238692f2341bc532025-08-20T02:19:38ZengEDP SciencesBIO Web of Conferences2117-44582024-01-011460103110.1051/bioconf/202414601031bioconf_btmic2024_01031Soil erosion monitoring based on cloud computing platformRahman Fahmi Arief0Hidayat Nita Lusy Yanti1Supriyadi Slamet2Adiputra Agung3Agroecotechnology, Agriculture Faculty, University of Trunojoyo MaduraAgroecotechnology, Agriculture Faculty, University of Trunojoyo MaduraAgroecotechnology, Agriculture Faculty, University of Trunojoyo MaduraGeography education, Faculty of Teaching and Pedagogy, Universit of Muhammadiyah prof. Dr HamkaSoil erosion is one of important causes of land degradation. Soil erosion can be estimated by an empirical model (RUSLE) based on cloud computing platform (GEE). This platform has several advantages including free access, availability of spatial big data, and effective and efficient spatial data analysis. The objective of this study was to estimate the rate of soil erosion in Blega Watershed, Bangkalan, Madura by means of RUSLE based on Cloud Computing Platform. The data obtained from several satellites’ imageries, were processed and analysed by employing GEE platform. The data collected were CHIRPS for rainfall erosivity (R), Open Land Map Soil Texture Class for soil erodibility (K), MODIS Terra vegetation index for land cover management (C), NASA DEM SRTM for Slope length and steepness (LS), and MODIS Land Cover Type Yearly and NASA DEM SRTM for Support practice factor (P). The result showed that the rates of soil erosion in Blega watershed from 2018 to 2022 respectively were 1.1490, 1.1320, 1.1388, 1.1491, and 1.1595 ton/ha/yr and therefore categorized as very low. The fluctuation of soil erosion in the study area was mainly caused by changes in R and C factor.https://www.bio-conferences.org/articles/bioconf/pdf/2024/65/bioconf_btmic2024_01031.pdf |
| spellingShingle | Rahman Fahmi Arief Hidayat Nita Lusy Yanti Supriyadi Slamet Adiputra Agung Soil erosion monitoring based on cloud computing platform BIO Web of Conferences |
| title | Soil erosion monitoring based on cloud computing platform |
| title_full | Soil erosion monitoring based on cloud computing platform |
| title_fullStr | Soil erosion monitoring based on cloud computing platform |
| title_full_unstemmed | Soil erosion monitoring based on cloud computing platform |
| title_short | Soil erosion monitoring based on cloud computing platform |
| title_sort | soil erosion monitoring based on cloud computing platform |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/65/bioconf_btmic2024_01031.pdf |
| work_keys_str_mv | AT rahmanfahmiarief soilerosionmonitoringbasedoncloudcomputingplatform AT hidayatnitalusyyanti soilerosionmonitoringbasedoncloudcomputingplatform AT supriyadislamet soilerosionmonitoringbasedoncloudcomputingplatform AT adiputraagung soilerosionmonitoringbasedoncloudcomputingplatform |