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Christos G. Karydas

Researcher at Aristotle University of Thessaloniki

Publications -  46
Citations -  938

Christos G. Karydas is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Erosion & Land cover. The author has an hindex of 13, co-authored 43 publications receiving 697 citations. Previous affiliations of Christos G. Karydas include Mediterranean Agronomic Institute of Chania.

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Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model.

TL;DR: In this paper, a modified version of the Universal Soil Loss Equation (USLE) was used for assessing the risks of erosion in N. Chalkidiki, Greece.
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A classification of water erosion models according to their geospatial characteristics

TL;DR: An extensive inventory in the literature of water erosion modelling from a geospatial point of view is conducted, and two promising spatial theories are suggested for further exploitation in the future such as hierarchy theory and fractals theory.
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Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete

TL;DR: The results showed that the QuickBird image was necessary in order to achieve site-specificity of the P factor and therefore to support fine scale mapping of soil erosion risk in an olive cultivation area, such as the one of Kolymvari in Crete.
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Measuring, modelling and managing gully erosion at large scales: A state of the art

TL;DR: In this article, a review of >590 scientific articles and policy documents is presented to assess and simulate gully erosion and its impacts at regional to continental scales, and a series of recommendations for further research and policy development are provided.
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Monthly soil erosion monitoring based on remotely sensed biophysical parameters: a case study in Strymonas river basin towards a functional pan-European service

TL;DR: This paper emphasises the aspect of seasonality in soil erosion mapping by using month-step rainfall erosivity data and biophysical time series data derived from remote-sensing for soil erosion monitoring at a scale of 1:500,000.