László Pásztor

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Gábor SzatmáriInstitute for Soil Sciences, HUN-REN Centre for Agricultural ResearchVerified email at rissac.hu
Matyas ArvaiResearch fellow, Institute for Soil Sciences and Agricultural Chemistry, Centre for AgriculturalVerified email at atk.hu
Gábor IllésSoproni Egyetem Erdészeti Tudományos IntézetVerified email at uni-sopron.hu
Pete SmithProfessor of Soils & Global Change, University of AberdeenVerified email at abdn.ac.uk
Tamás HermannInstitute of Advanced Studies, KőszegVerified email at iask.hu
Pete FalloonClimate Service Lead - Food, Farming & Natural Environment, Met Office Hadley CentreVerified email at metoffice.gov.uk
Erika MicheliSzent Isvtan University, HungaryVerified email at mkk.szie.hu
Brigitta Szabó (Brigitta Tóth)Institute for Soil Sciences, Centre for Agricultural ResearchVerified email at atk.hu
Ákos Bede-FazekasCentre for Ecological Research, Institute of Ecology and BotanyVerified email at ecolres.hu
endre dobosUniversity of MiskolcVerified email at uni-miskolc.hu
Miklós Dombossenior research fellow of soil ecology, Hungarian Academy of SciencesVerified email at agrar.mta.hu
István WaltnerHungarian University of Agriculture and Life SciencesVerified email at uni-mate.hu
Centeri CsabaHungarian University of Agriculture and Life SciencesVerified email at uni-mate.hu
Zoltan BarczaEötvös Loránd UniversityVerified email at elte.hu
Zsolt MolnárHUN-REN Centre for Ecological Research Institute of Ecology and BotanyVerified email at ecolres.hu
Péter SzilassiUniversity of Szeged, Department ofGeoinformatics, Physical and Environmental GeographyVerified email at geo.u-szeged.hu
Mélanie WeynantsMax Planck Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Tomislav HenglDirector, OpenGeoHub foundation / Envirometrix Ltd, WageningenVerified email at opengeohub.org
Ákos HorváthEötvös Loránd UniversityVerified email at ludens.elte.hu
Karoly BartaUniversity of SzegedVerified email at geo.u-szeged.hu

László Pásztor

scientific advisor, Institute for Soil Sciences, HUN-REN Centre for Agricultural Research

Verified email at rissac.hu - Homepage

GIS spatial modelling digital soil mapping agri-environmental modelling


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Maps of heavy metals in the soils of the European Union and proposed priority areas for detailed assessment G Tóth, T Hermann, G Szatmári, L Pásztor Science of The Total Environment 565, 1054-1062, 2016	422	2016
Spectral band selection for the characterization of salinity status of soils F Csillag, L Pásztor, LL Biehl Remote Sensing of Environment 43 (3), 231-242, 1993	323	1993
3D soil hydraulic database of Europe at 250 m resolution B Tóth, M Weynants, L Pásztor, T Hengl Hydrological Processes 31 (14), 2662-2666, 2017	169	2017
Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms G Szatmári, L Pásztor Geoderma 337, 1329-1340, 2019	135	2019
Soil legacy data rescue via GlobalSoilMap and other international and national initiatives D Arrouays, JGB Leenaars, AC Richer-de-Forges, K Adhikari, C Ballabio, ... GeoResJ 14, 1-19, 2017	131	2017
Comparison of approaches for estimating carbon sequestration at the regional scale P Falloon, P Smith, J Szabo, L Pasztor Soil Use and Management 18 (3), 164-174, 2002	95	2002
Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics B Szabó, G Szatmári, K Takács, A Laborczi, A Makó, K Rajkai, L Pásztor Hydrology and Earth System Sciences 23 (6), 2615-2635, 2019	91	2019
Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics B Szabó, G Szatmári, K Takács, A Laborczi, A Makó, K Rajkai, L Pásztor Hydrology and Earth System Sciences 23 (6), 2615-2635, 2019	91	2019
Monitoring invasive plant species using hyperspectral remote sensing data L Papp, B Van Leeuwen, P Szilassi, Z Tobak, J Szatmári, M Árvai, ... Land 10 (1), 29, 2021	77*	2021
Monitoring invasive plant species using hyperspectral remote sensing data L Papp, B Van Leeuwen, P Szilassi, Z Tobak, J Szatmári, M Árvai, ... Land 10 (1), 29, 2021	73	2021
Implementation and application of multiple potential natural vegetation models–a case study of Hungary I Somodi, Z Molnár, B Czúcz, Á Bede‐Fazekas, J Bölöni, L Pásztor, ... Journal of Vegetation Science 28 (6), 1260-1269, 2017	71	2017
Spatially explicit estimation of heat stress-related impacts of climate change on the milk production of dairy cows in the United Kingdom N Fodor, A Foskolos, CFE Topp, JM Moorby, L Pásztor, CH Foyer PloS one 13 (5), e0197076, 2018	67	2018
Compilation of a national soil-type map for Hungary by sequential classification methods L Pásztor, A Laborczi, Z Bakacsi, J Szabó, G Illés Geoderma 311, 93-108, 2018	65	2018
Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics G Szatmári, L Pásztor, GBM Heuvelink Geoderma 403, 115356, 2021	62	2021
Integration of remote sensing and GIS techniques in land degradation mapping J Szabó, L Pásztor, Z Suba, G Várallyay Agrokémia és Talajtan 47 (1-4), 63-75, 1998	62	1998
Digital processing and upgrading of legacy data collected during the 1: 25 000 scale Kreybig soil survey L Pásztor, J Szabó, Z Bakacsi Acta Geodaetica et Geophysica Hungarica 45 (1), 127-136, 2010	55	2010
Mapping geogenic radon potential by regression kriging L Pásztor, KZ Szabó, G Szatmári, A Laborczi, Á Horváth Science of The Total Environment 544, 883-891, 2016	54	2016
Spatio-temporal assessment of topsoil organic carbon stock change in Hungary G Szatmári, B Pirkó, S Koós, A Laborczi, Z Bakacsi, J Szabó, L Pásztor Soil and Tillage Research 195, 104410, 2019	45	2019
Integrated spatial assessment of wind erosion risk in Hungary L Pásztor, G Négyesi, A Laborczi, T Kovács, E László, Z Bihari Natural Hazards and Earth System Sciences 16 (11), 2421-2432, 2016	41	2016
Compilation of novel and renewed, goal oriented digital soil maps using geostatistical and data mining tools L Pásztor, A Laborczi, K Takács, G Szatmári, E Dobos, G Illés, Z Bakacsi, ... Hungarian Geographical Bulletin 64 (1), 49-64, 2015	41	2015

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