Pedometric Techniques in Spatialisation of Soil Properties for Agricultural Land Evaluation

Abstract

Agricultural land evaluation plays an important role in the pedologic and economic foundation of a sustainable agricultural practice and management. Usually, the agricultural land evaluation framework use soil, environment and land improvements data for computing an index of suitability for various agricultural uses. 
 Because of the punctual availability of soil data, we investigated the use of pedometric and geostatistical techniques (multiple linear regression, logistic regression, kriging) for their spatialisation, to be used further, for computing the suitability index, according to Romanian Agricultural Land Evaluation Methodology. The pedometric techniques were applied to a soil legacy database (620 described soil profiles with analytical data covering 15 villages from Iasi County, made by Iaşi Office for Pedology and Agrochemistry. The results are promising, but the quality of results, depend on the quality and quantity of soil data.