Spatial modelling of vineyard erosion using proximal sensing

Spatial modelling of vineyard erosion using proximal sensing

The natural process of soil degradation is strongly influenced by human activity, especially in agricultural areas. The vineyards in the northern part of the Gerecse Hills are also suffering significant damage due to intensive soil erosion. During the research, researchers from our Institute and ELTE studied the development of soil erosion in three vineyards in the Neszmély wine region over a period of one year. The monitoring took place between July 2019 and June 2020. In each season, photographs of the vineyards were taken using an unmanned aerial vehicle (UAV). The images were processed in a photogrammetric workflow to produce high-resolution digital terrain models (DTMs) and orthophotos, which were used to estimate soil erosion. Soil loss estimates were calculated using Universal Soil Loss Equation (USLE). The researchers paid particular attention to monitoring seasonal variation in vegetation cover and rainfall and its erosion control effect. They also modelled the effect of inter-row grassing, an erosion control method which has been already used in vineyards. Quantitative results on soil loss were used to quantify how much more erosion is triggered by intense rainfall in summer than by autumn or winter rainfall.

The results of the research are published in the journal Remote Sensing:
Takáts, Tünde, János Mészáros, and Gáspár Albert. 2022. Spatial Modelling of Vineyard Erosion in the Neszmély Wine Region, Hungary Using Proximal Sensing. Remote Sensing 14, no. 14: 3463. doi:10.3390/rs14143463

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