Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of datasets from environmental monitoring networks. Several typical problems of the environmental sciences and the...

A unified, national soil type map with spatially consistent predictive capabilities was compiled applying traditional and newly tested Digital Soil Mapping classification methods: segmentation of a synthesized image consisting of predictor variables and multi-phase, sequential classification by Classification and Regression Trees, Random Forests and Artificial Neural Networks. Object based clas...

[1] The spatial distribution of subsurface soil textural properties across the landscape is an important control on the hydrological and ecological function of a watershed. Traditional methods of mapping soils involving subjective assignment of soil boundaries are inadequate for studies requiring a quantitative assessment of the landscape and its subsurface connectivity and storage capacity. Ge...

Improper use of land resources may result in severe soil salinization. Timely monitoring and early warning of soil salinity is in urgent need for sustainable development. This paper addresses the possibility and potential of Advanced Land Imager (ALI) for mapping soil salinity. In situ field spectra and soil salinity data were collected in the Yellow River Delta, China. Statistical analysis dem...

Soil provides essential ecosystem services sustaining and improving human life, but mapping soil functions is an ongoing challenge. Denmark has a long history of carrying out assessments − originally in order to determine tax revenues for the king, and, more recently, aiding policymakers farmers. This knowledge supported development intensive agricultural systems while maintaining provision (e....

Background. Precision Agriculture provides the optimal treatment for each production unit that can be distinguished and which can be individually treated in an efficient way. This agricultural practise is based on detailed information on the status of crops and soil. Most of this information focuses on techniques like soil mapping, yield mapping and remote sensing, which cover the spatial domai...