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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Nguyen Quang Minh, Nguyen Thi Thu Huong, Pham Quoc Khanh, La Phu Hien, Dieu Tien Bui
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-02-01
סדרה:	Remote Sensing
נושאים:	DEM downscaling morphometric factor Hopfield Neural Network bicubic sampling Kriging interpolation
גישה מקוונת:	https://www.mdpi.com/2072-4292/16/5/819
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!