Evaluation of the Spatial Structure of Windbreaks from Digital Photography

Abstract

The loss of fertile soil due to wind erosion has major impacts on the landscape and the environment. Its intensity and extent depend on many factors, where vegetation cover, soil moisture and wind intensity play key roles. Climatic conditions are constantly developing towards a higher extremity. Episodes of drought associated with a higher risk of wind erosion are longer and more frequent. For farmers, this results in higher demands for management in order to increase resistance against the negative effects of wind erosion. Windbreaks effectively protect the soil by reducing wind speed. This paper describes the automation of the current procedure for the evaluation of the spatial structure of windbreaks by means of advanced image signal analysis (2D) and the subsequent use of machine learning for further classification of spatial structure parameters (optical porosity). Software called Windbreak which enables the evaluation of optical porosity, including the assessment of canopy height, has been developed. The program allows working with digital photographs at the original resolution. The output from the Windbreak software can be also used as input values for determining the effectiveness of windbreaks.

The loss of fertile soil due to wind erosion has major impacts on the landscape and the environment. Its intensity and extent depend on many factors, where vegetation cover, soil moisture and wind intensity play key roles. Climatic conditions are constantly developing towards a higher extremity. Episodes of drought associated with a higher risk of wind erosion are longer and more frequent. For farmers, this results in higher demands for management in order to increase resistance against the negative effects of wind erosion. Windbreaks effectively protect the soil by reducing wind speed. This paper describes the automation of the current procedure for the evaluation of the spatial structure of windbreaks by means of advanced image signal analysis (2D) and the subsequent use of machine learning for further classification of spatial structure parameters (optical porosity). Software called Windbreak which enables the evaluation of optical porosity, including the assessment of canopy height, has been developed. The program allows working with digital photographs at the original resolution. The output from the Windbreak software can be also used as input values for determining the effectiveness of windbreaks.