Prostorske analize v kmetijstvu vse bolj pridobivajo na pomenu, tako v svetu kot pri nas, saj omogočajo hiter in učinkovit prostorski prikaz dinamičnih procesov v kmetijskem prostoru. To je pomembno ...pri pripravi prostorskih aktov na nacionalni in lokalni ravni ter oblikovanju kmetijskih ukrepov in zakonodaje. Kakovostni prostorski podatki in posredno prostorske informacije so temeljna podlaga v procesu prostorskega načrtovanja, katerega pomemben segment je kmetijski prostor. V prispevku sta prikazani ustreznost in dejanska uporabnost obstoječih prostorskih podatkovnih baz na primeru podatkov o rabi zemljišč kmetijskega ministrstva za namene spremljanja spremembe rabe zemljišč in prostorskih analiz v slovenskem kmetijstvu. Prednosti in nekatere omejitve baz prostorskih podatkov, s poudarkom na evidenci dejanske rabe kmetijskih in gozdnih zemljišč, so prikazane na primeru prostorske analize rabe in spremembe rabe kmetijskih zemljišč z uporabo metode prehodnih matrik na območju Krajinskega parka Ljubljansko barje ; Spatial analysis in agriculture is gaining in importance, as it allows the rapid and effective spatial display of dynamic processes in agricultural areas. This is important in the preparation of spatial plans at the national and local levels and the creation of agricultural measures and legislation. High-quality spatial data and spatial information indirectly represent a fundamental basis in the planning process, in which the agricultural sector represents an important segment. This article highlights the relevance and usefulness of the Slovenian spatial databases for the case of the land cover database at the Ministry of Agriculture for the purpose of land use change analysis and spatial analysis in Slovenian agriculture. The advantages and some limitations of spatial databases, with the emphasis on the evidence of actual agricultural and forest land use, are displayed based on the analysis of actual land use and land use changes with the use of the transition matrix method, within the Ljubljansko barje landscape park.
The book presents a method to create a land cover map from lidar data (elevation, intensity and standard deviation of height). The intensity of the observed object depends on many factors and is ...therefore not easy to interpret. With careful study of the problem and implementing various improvements we managed to distinctively classify categories of grass, agricultural fields and asphalt. We used standard deviation of height to differentiate trees and buildings, because this was not possible using intensity data alone. On the basis of independent lidar data a high quality three dimensional land cover map of local area has been successfully generated. It distinguishes five basic categories, although more detailed sub-categories could be introduced if necessary. Once the methodology is determined, products can be generated fully automatically, with minimal effort and costs. The resulting maps are of very high positional and thematic accuracy with numerous advantages for local studies.
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