Soil Mapping and Process Modeling for Sustainable Land Use Management 2017
DOI: 10.1016/b978-0-12-805200-6.00009-8
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Compilation of Functional Soil Maps for the Support of Spatial Planning and Land Management in Hungary

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Cited by 10 publications
(6 citation statements)
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References 35 publications
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“…The GlobalSoilMap initiative (Arrouays et al, 2014;Sanchez et al, 2009) significantly inspired the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hungary) project (Pásztor et al, 2017), which was started intentionally for the renewal of the national spatial soil data infrastructure in Hungary. The main objectives of the work have been to broaden the possibilities, how demands on spatial soil-related information could be satisfied in Hungary.…”
Section: The Renewed National Spatial Soil Data Infrastructure In Hungarymentioning
confidence: 99%
“…The GlobalSoilMap initiative (Arrouays et al, 2014;Sanchez et al, 2009) significantly inspired the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hungary) project (Pásztor et al, 2017), which was started intentionally for the renewal of the national spatial soil data infrastructure in Hungary. The main objectives of the work have been to broaden the possibilities, how demands on spatial soil-related information could be satisfied in Hungary.…”
Section: The Renewed National Spatial Soil Data Infrastructure In Hungarymentioning
confidence: 99%
“…A hazai szakirodalmi források is jellemzően agrokémiai szempontból vizsgálják a talaj NH4 + tartalmát, azonban döntően a kicserélhető formában jelen lévő NH4 + mennyiségére fókuszálnak (HOFFMANN, 1991;NÉMETH, 2002;NÓTÁS et al, 2002;GULYÁS et al, 2014;MONOSTORI, 2016), a fixált NH4 + meghatározása -közvetett hatása révén -nem tartozik a rutin mérési eljárások közé. A talaj szervetlen nitrogéntartalmának környezetvédelmi vonatkozásait is számos hazai tanulmány vizsgálta, itt ugyanakkor döntően a nitrát-ion került a kutatások fókuszpontjába (KÁDÁR és NÉMETH, 1993;NÉMETH, 1995;IZSÁKI és IVÁNYI, 2005;JAKAB et al, 2017;PÁSZTOR et al, 2017).…”
Section: Bevezetésunclassified
“…Digital soil mapping (DSM), which has become a successful sub-discipline of soil science with an active research output [10], aims to provide spatial soil information for a wide range of studies, such as precision agriculture [11,12], hydrology [13][14][15], environmental sciences [16,17], conservation biology [18,19] or spatial planning [20,21]. For this purpose, geostatistical techniques are widely used, which have been complemented by machine learning algorithms in the past decade.…”
Section: Introductionmentioning
confidence: 99%