Impacts of Resampling and Downscaling Digital Elevation Model and Its Morphometric Factors: A Comparison of Hopfield Neural Network, Bilinear, Bicubic, and Kriging Interpolations
The digital elevation model (DEM) and its derived morphometric factors, i.e., slope, aspect, profile and plan curvatures, and topographic wetness index (TWI), are essential for natural hazard modeling and prediction as they provide critical information about the terrain’s characteristics that can in...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2024-02-01
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| سلاسل: | Remote Sensing |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2072-4292/16/5/819 |
| الوسوم: |
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