Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards

Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards

Empirically based approaches, like the Universal Soil Loss Equation (USLE), are appropriate for estimating mass movement attributed to rill erosion. USLE and its associates become widespread even in spatially extended studies in spite of its original plot-level concept, as well as with certain const...

Full description

Saved in:
Bibliographic Details
Main Authors: Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Land
Subjects:
soil erosion
spatial modeling
USLE
machine learning
vineyards
Online Access:https://www.mdpi.com/2073-445X/14/1/163
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items