Infra Eco Network Europe B IENE 19 European countries form an international network for knowledge... more Infra Eco Network Europe B IENE 19 European countries form an international network for knowledge and experience transfer in the field of habitat fragmentation and infrastructure. The network was initiated, financially supported and co-ordinated by the Road and Hydraulic Engineering Division in the Netherlands. In July 1998 the co-ordination of IENE was taken over by the Swedish National Road Administration.
1992-óta működik hazánkban egy talajvédelmi megfigyelő hálózat, a Talajvédelmi Információs és Mon... more 1992-óta működik hazánkban egy talajvédelmi megfigyelő hálózat, a Talajvédelmi Információs és Monitoring Rendszer (TIM). Ennek keretében az ország talajaira reprezentatív pontokon állnak rendelkezésre talajminták, amelyek kiváló lehetőséget biztosítanak a 137Cs talajban történő előfordulásának az eddigieknél részletesebb vizsgálatára. Ebben a munkában 45 Pest megyében található TIM pont talajmintáiban határoztuk meg a 137Cs koncentrációját gamma-spektroszkópia segítségével. Egy az eddigieknél részletesebb térképen jelenítettük meg a 137Cs térbeli eloszlását. Egy kiválasztott talajszelvényben megállapítottuk, hogy a 137Cs eloszlása a mélységgel gyorsan csökken, vertikális migrációja lassú. Ezt a lassú mozgást az anyagvizsgálati eredményeink alapján a talaj agyagásvány tartalma, elsősorban a kaolinit és az illit jelenléte okozza [1].
ABSTRACT The spatial distribution of stars in the Local Group dwarf irregular galaxy NGC 6822 has... more ABSTRACT The spatial distribution of stars in the Local Group dwarf irregular galaxy NGC 6822 has been studied, using recent positions and deep photometry for about 15,000 stars in the galaxy. Based on photometrical data, OB stars and red stars could be studied separately. Spatial statistical tools have been applied to the analysis of the spatial structure. The primary aim of the analysis was to find associations among OB stars of the sample in statistical way; that is to quantify the grouping tendency visible in the images of the dwarf galaxy with the aid of merely statistical models. In the present paper the technical aspects of the analysis are discussed.
Beyond the wide applicability of quadtrees in image processing and spatial information analysis t... more Beyond the wide applicability of quadtrees in image processing and spatial information analysis there may be numerous further applications in astronomy. Some of these practicable applications based on quadtree representation of astronomical data are presented. Statistics of nodes at different levels may provide useful information on spatial structure of astronomical data in question. A sampling method based on quadtree representation of an image is proposed, which may prove to be efficient where observations were carried out previously either with different resolution or/and in bands.
A primary piece of information on pointlike astronomical objects is their location. Essential ope... more A primary piece of information on pointlike astronomical objects is their location. Essential operations, like identification of physical stellar systems and their members, are based on this information, which often makes the application of statistical methodology necessary. Application of various raster and quadtree data representation based methods, furthermore the Voronoi model for the investigation of point patterns are presented. They can be used for studying the spatial distribution, homogeneity/heterogeneity and isotropy/ ...
The main objective of the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in H... more The main objective of the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hunga-ry) project is to significantly extend the potential, how demands on spatial soil related information could be satisfied in Hungary. Although a great amount of soil information is available due to former mappings and surveys, there are more and more frequently emerging discrepancies between the available and the expected data. The gaps are planned to be filled with optimized DSM products heavily based on legacy soil data, which still represent a valuable treasure of soil information at the present time. Our paper presents the first pilot re-sults achieved for Zala County, Hungary: the identified effects of DSM components on the accuracy of a spe-cific output map; together with some modest proposals for their applicability in the optimization of the whole mapping process.
Within the framework of AGRÁRKLÍMA project we prepared soil maps for both forest- and croplands o... more Within the framework of AGRÁRKLÍMA project we prepared soil maps for both forest- and croplands of Zala County of Hungary. To achieve this we used a GIS database consisting of data on geology, relief, hydrology, (referred as environmental variables) and forestry, supported with data from the Digital Kreybig Soil Information System. The available set of site data from forestry and agricultural database was evaluated in relation to the environmental datasets. This process aimed at setting up signatures for all soil types by signature of the most strongly related environmental feature sets for each soil type. Using these signatures we trained hierarchical and non-hierarchical classification tools to identify the spatial extent of soils in Zala County. Neural networks were found to be the most effective mapping tool. Making a validation with a data set of known soil characteristics we found 67% correct classification rate for the county. Additionally, we set up a joint soil type databas...
Parent material, belonging either to autochthonous or allochthonous sediments, is formed by vario... more Parent material, belonging either to autochthonous or allochthonous sediments, is formed by various physical and chemical processes that change the bedrock and repre-sents one of the key factors in soil-forming processes. The 1:100,000 scale AGROTOPO Database (VÁRALLYAY et al., 1979; AGROTOPO Adatbázis, 1994) clearly describes the soil types and their main physical and chemical properties in Hungary, as classified soil data and connecting map units. When the da-tabase was compiled, sufficient information on parent material was probably not available in appropriate form for the whole country, which explains why this section is less detailed than others in the AGROTOPO Database. Consequently, most of the coun-try is classified in two main parent material classes (“glacial and alluvial sediments” and “loess sediments”; Fig. 1). The 1:100,000 scale geological map compiled in the Geological Institute of Hunga-ry (GYALOG & SÍKHEGYI, 2005) contains 50,163 map units and the joint descriptio...
Basis of the global spatial soil information system, 2014
ABSTRACT A great amount of soil information is available in Hungary from former mappings and surv... more ABSTRACT A great amount of soil information is available in Hungary from former mappings and surveys. Since these legacy datasets were often created through different methodologies, it has become a necessity to harmonize them to a common platform. For a study area of about 750 km2 in the Northern part of Hungary, all the available legacy soil data, both SMU and profile based, were collected. The spatial coverage of this information was neither complete nor homogeneous. As a consequence these data were not applicable in themselves to produce the required maps. They had to be integrated, harmonized and specific methods were developed for the digital mapping of selected WRB units with a spatial resolution of 100 meter. Auxiliary spatial environmental information in the form of multispectral and multitemporal Landsat TM images, DEM and derived terrain properties. Regression kriging using bilinear regression was applied for inference of the particular WRB units.
Wind erosion causes an enormous problem in agriculture, and the stirred-up dust influences the ai... more Wind erosion causes an enormous problem in agriculture, and the stirred-up dust influences the air quality and is harmful for human health. In the cultivated agricultural areas of Hungary, soils with different textures often suffer from wind erosion, and due to the global climate change an ever increasing risk rate can be expected. In this study we examined in a wind tunnel the thresholds of wind velocity and erodibility of 80 different soil samples originated from an area covering of approximately 5,000 km2. Afterwards, based on the resulting data the soils with different texture types were categorized in erosion risk classes. Using the experimental results and the CORINE land cover database, we compiled a potential wind erosion map for the studied area.
Infra Eco Network Europe B IENE 19 European countries form an international network for knowledge... more Infra Eco Network Europe B IENE 19 European countries form an international network for knowledge and experience transfer in the field of habitat fragmentation and infrastructure. The network was initiated, financially supported and co-ordinated by the Road and Hydraulic Engineering Division in the Netherlands. In July 1998 the co-ordination of IENE was taken over by the Swedish National Road Administration.
1992-óta működik hazánkban egy talajvédelmi megfigyelő hálózat, a Talajvédelmi Információs és Mon... more 1992-óta működik hazánkban egy talajvédelmi megfigyelő hálózat, a Talajvédelmi Információs és Monitoring Rendszer (TIM). Ennek keretében az ország talajaira reprezentatív pontokon állnak rendelkezésre talajminták, amelyek kiváló lehetőséget biztosítanak a 137Cs talajban történő előfordulásának az eddigieknél részletesebb vizsgálatára. Ebben a munkában 45 Pest megyében található TIM pont talajmintáiban határoztuk meg a 137Cs koncentrációját gamma-spektroszkópia segítségével. Egy az eddigieknél részletesebb térképen jelenítettük meg a 137Cs térbeli eloszlását. Egy kiválasztott talajszelvényben megállapítottuk, hogy a 137Cs eloszlása a mélységgel gyorsan csökken, vertikális migrációja lassú. Ezt a lassú mozgást az anyagvizsgálati eredményeink alapján a talaj agyagásvány tartalma, elsősorban a kaolinit és az illit jelenléte okozza [1].
ABSTRACT The spatial distribution of stars in the Local Group dwarf irregular galaxy NGC 6822 has... more ABSTRACT The spatial distribution of stars in the Local Group dwarf irregular galaxy NGC 6822 has been studied, using recent positions and deep photometry for about 15,000 stars in the galaxy. Based on photometrical data, OB stars and red stars could be studied separately. Spatial statistical tools have been applied to the analysis of the spatial structure. The primary aim of the analysis was to find associations among OB stars of the sample in statistical way; that is to quantify the grouping tendency visible in the images of the dwarf galaxy with the aid of merely statistical models. In the present paper the technical aspects of the analysis are discussed.
Beyond the wide applicability of quadtrees in image processing and spatial information analysis t... more Beyond the wide applicability of quadtrees in image processing and spatial information analysis there may be numerous further applications in astronomy. Some of these practicable applications based on quadtree representation of astronomical data are presented. Statistics of nodes at different levels may provide useful information on spatial structure of astronomical data in question. A sampling method based on quadtree representation of an image is proposed, which may prove to be efficient where observations were carried out previously either with different resolution or/and in bands.
A primary piece of information on pointlike astronomical objects is their location. Essential ope... more A primary piece of information on pointlike astronomical objects is their location. Essential operations, like identification of physical stellar systems and their members, are based on this information, which often makes the application of statistical methodology necessary. Application of various raster and quadtree data representation based methods, furthermore the Voronoi model for the investigation of point patterns are presented. They can be used for studying the spatial distribution, homogeneity/heterogeneity and isotropy/ ...
The main objective of the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in H... more The main objective of the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hunga-ry) project is to significantly extend the potential, how demands on spatial soil related information could be satisfied in Hungary. Although a great amount of soil information is available due to former mappings and surveys, there are more and more frequently emerging discrepancies between the available and the expected data. The gaps are planned to be filled with optimized DSM products heavily based on legacy soil data, which still represent a valuable treasure of soil information at the present time. Our paper presents the first pilot re-sults achieved for Zala County, Hungary: the identified effects of DSM components on the accuracy of a spe-cific output map; together with some modest proposals for their applicability in the optimization of the whole mapping process.
Within the framework of AGRÁRKLÍMA project we prepared soil maps for both forest- and croplands o... more Within the framework of AGRÁRKLÍMA project we prepared soil maps for both forest- and croplands of Zala County of Hungary. To achieve this we used a GIS database consisting of data on geology, relief, hydrology, (referred as environmental variables) and forestry, supported with data from the Digital Kreybig Soil Information System. The available set of site data from forestry and agricultural database was evaluated in relation to the environmental datasets. This process aimed at setting up signatures for all soil types by signature of the most strongly related environmental feature sets for each soil type. Using these signatures we trained hierarchical and non-hierarchical classification tools to identify the spatial extent of soils in Zala County. Neural networks were found to be the most effective mapping tool. Making a validation with a data set of known soil characteristics we found 67% correct classification rate for the county. Additionally, we set up a joint soil type databas...
Parent material, belonging either to autochthonous or allochthonous sediments, is formed by vario... more Parent material, belonging either to autochthonous or allochthonous sediments, is formed by various physical and chemical processes that change the bedrock and repre-sents one of the key factors in soil-forming processes. The 1:100,000 scale AGROTOPO Database (VÁRALLYAY et al., 1979; AGROTOPO Adatbázis, 1994) clearly describes the soil types and their main physical and chemical properties in Hungary, as classified soil data and connecting map units. When the da-tabase was compiled, sufficient information on parent material was probably not available in appropriate form for the whole country, which explains why this section is less detailed than others in the AGROTOPO Database. Consequently, most of the coun-try is classified in two main parent material classes (“glacial and alluvial sediments” and “loess sediments”; Fig. 1). The 1:100,000 scale geological map compiled in the Geological Institute of Hunga-ry (GYALOG & SÍKHEGYI, 2005) contains 50,163 map units and the joint descriptio...
Basis of the global spatial soil information system, 2014
ABSTRACT A great amount of soil information is available in Hungary from former mappings and surv... more ABSTRACT A great amount of soil information is available in Hungary from former mappings and surveys. Since these legacy datasets were often created through different methodologies, it has become a necessity to harmonize them to a common platform. For a study area of about 750 km2 in the Northern part of Hungary, all the available legacy soil data, both SMU and profile based, were collected. The spatial coverage of this information was neither complete nor homogeneous. As a consequence these data were not applicable in themselves to produce the required maps. They had to be integrated, harmonized and specific methods were developed for the digital mapping of selected WRB units with a spatial resolution of 100 meter. Auxiliary spatial environmental information in the form of multispectral and multitemporal Landsat TM images, DEM and derived terrain properties. Regression kriging using bilinear regression was applied for inference of the particular WRB units.
Wind erosion causes an enormous problem in agriculture, and the stirred-up dust influences the ai... more Wind erosion causes an enormous problem in agriculture, and the stirred-up dust influences the air quality and is harmful for human health. In the cultivated agricultural areas of Hungary, soils with different textures often suffer from wind erosion, and due to the global climate change an ever increasing risk rate can be expected. In this study we examined in a wind tunnel the thresholds of wind velocity and erodibility of 80 different soil samples originated from an area covering of approximately 5,000 km2. Afterwards, based on the resulting data the soils with different texture types were categorized in erosion risk classes. Using the experimental results and the CORINE land cover database, we compiled a potential wind erosion map for the studied area.
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Papers by László Pásztor