Moskalenko A. Geoinformation mapping for evaluation the qualitative state of agricultural lands

3. Object - agricultural lands. Methods - the set-theoretical, theory of graphs, geospatial database design, object-oriented modeling, mathematical statistics, geoinformation and geostatistical analysis and modeling, thematic processing of remote sensing data, geo-mapping approach have been used. Novelty - a conceptual and logical models of geodatabase of geoinformation mapping for evaluation the qualitative state of agricultural lands has been developed. The composition and structure of the cartographic knowledge base has been defined, and technology for mapping analysis and modeling of agricultural lands has been improved. The technology for evaluation of humus content in the soil based on integrated analysis of multispectral satellite data and field survey data has been improved. Results - results obtained allow to develop and implement in practice the new complex methods for qualitative evaluation of agricultural lands, visualizing modeling results on the map. Structure of cartographic knowledge base to design a geographic information system for mapping of agricultural lands has been proposed firstly. Areas of use of the results are cartography and State Land Cadastre.