Estimation of soil erodability parameters based on different machine algorithms integrated with remote sensing techniques
Yazarlar (5)
F. Saygın Sivas Science And Technology University, Türkiye
Dr. Öğr. Üyesi Hasan AKSOY Sinop Üniversitesi, Türkiye
P. Alaboz
Isparta University of Applied Sciences, Türkiye
Isparta University of Applied Sciences, Türkiye
M. Birol
T.C. Tarim ve Köyişleri Bakanliği, Türkiye
T.C. Tarim ve Köyişleri Bakanliği, Türkiye
O. Dengiz
Ondokuz Mayis Üniversitesi, Türkiye
Ondokuz Mayis Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | International Journal of Environmental Science and Technology (Q2) | ||
| Dergi ISSN | 1735-1472 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2024 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 06-04-2024 |
| Cilt / Sayı / Sayfa | 21 / 15 / 9527–9540 | DOI | 10.1007/s13762-024-05574-z |
| Makale Linki | https://doi.org/10.1007/s13762-024-05574-z | ||
| UAK Araştırma Alanları |
Orman Hasılatı ve Amenajmanı
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| Özet |
| Erosion causes significant damage to life and nature every year; therefore, controlling erosion is of great importance. Therefore, maintaining the balance between soil, plants, and water plays a vital role in controlling erosion. Aim of this study was to estimate some erodability parameters (structural stability index—SSI, aggregate stability—AS, and erosion ratio—ER) with indices and reflectance obtained via TripleSat satellite imagery using machine learning algorithms (support vector regression—SVR, artificial neural network—ANN, and K-nearest neighbors—KNN) in Samsun Province, Vezirköprü, Türkiye. Various interpolation methods (inverse distance weighting—IDW, radial basis function—RBF, and kriging) were also used to create spatial distribution maps of the study area for observed and predicted values. Estimates were made using NDVI, SAVI, and ASVI indices obtained from satellite images and NIR … |
| Anahtar Kelimeler |
| Erodibility factors | Kriging | Machine-learning algorithm | Remote sensing | Soil properties |
| Atıf Sayıları | |
| Web of Science | 7 |
| Scopus | 7 |
| Google Scholar | 8 |