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001-es BibID:	BIBFORM105337
035-os BibID:	(WoS)000846416200001 (Scopus)85137317190 (cikkazonosító)1858
Első szerző:	Hateffard, Fatemeh (digital soil mapping)
Cím:	High-Resolution Mapping and Assessment of Salt-Affectedness on Arable Lands by the Combination of Ensemble Learning and Multivariate Geostatistics / Fatemeh Hateffard, Kitti Balog, Tibor Tóth, János Mészáros, Mátyás Árvai, Zsófia Adrienn Kovács, Nóra Szűcs-Vásárhelyi, Sándor Koós, Péter László, Tibor József Novák, László Pásztor, Gábor Szatmári
Dátum:	2022
ISSN:	2073-4395
Megjegyzések:	Soil salinization is one of the main threats to soils worldwide, which has serious impacts on soil functions. Our objective was to map and assess salt-affectedness on arable land (0.85 km2) in Hungary, with high spatial resolution, using a combination of ensemble machine learning and multivariate geostatistics on three salt-affected soil indicators (i.e., alkalinity, electrical conductivity, and sodium adsorption ratio (n = 85 soil samples)). Ensemble modelling with five base learners (i.e., random forest, extreme gradient boosting, support vector machine, neural network, and generalized linear model) was carried out and the results showed that ensemble modelling outperformed the base learners for alkalinity and sodium adsorption ratio with R2 values of 0.43 and 0.96, respectively, while only the random forest prediction was acceptable for electrical conductivity. Multivariate geostatistics was conducted on the stochastic residuals derived from machine learning modelling, as we could reasonably assume that there is spatial interdependence between the selected salt-affected soil indicators. We used 10-fold cross-validation to check the performance of the spatial predictions and uncertainty quantifications, which provided acceptable results for each selected salt-affected soil indicator (for pH value, electrical conductivity, and sodium adsorption ratio, the root mean square error values were 0.11, 0.86, and 0.22, respectively). Our results showed that the methodology applied in this study is efficient in mapping and assessing salt-affectedness on arable lands with high spatial resolution. A probability map for sodium adsorption ratio represents sodic soils exceeding a threshold value of 13, where they are more likely to have soil structure deterioration and water infiltration problems. This map can help the land user to select the appropriate agrotechnical operation for improving soil quality and yield.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk salt-affected soils digital soil mapping ensemble modelling geostatistics; uncertainty assessment satellite remote sensing unpiloted aerial vehicle
Megjelenés:	Agronomy-Basel. - 12 : 8 (2022), p. 1-19. -
További szerzők:	Balog Kitti Tóth Tibor Mészáros János Árvai Mátyás Kovács Zsófia Adrienn Szűcs-Vásárhelyi Nóra Koós Sándor (agrár) László Péter Novák Tibor (1973-) (geográfus) Pásztor László Szatmári Gábor
Pályázati támogatás:	K-131820 and K-124290 OTKA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM105343
035-os BibID:	(Scopus)85137766661
Első szerző:	Tóth Tibor
Cím:	Class separability, correlation to biomass, parsimony and homogeneity of classes as criteria to decide on the goodness-of-classification when comparing Hungarian soil classification to World Reference Base inside a slightly saline plot / Tibor Tóth, Tibor Novák, András Makó, Bence Gallai, Szabolcs Czigány, Mátyás Árvai, János Mészáros, Mihály Kocsis, Péter László, Sándor Koós, Kitti Balog
Dátum:	2022
ISSN:	0002-1873 1588-2713
Megjegyzések:	As a means of assisting the selection of promising soil classification systems, a set of criteria were presented and tested. Inside the studied slightly saline plot World Reference Base (WRB) and Hungarian soil classification (HU) were compared at all four levels in terms of class separability, correlation to biomass, parsimony and homogeneity of classes. WRB surpassed HU in terms of the very important homogeneity of classes only, but HU performed better in terms of class separability, correlation to biomass and parsimony of classes. With many possible classification units WRB categorized the soil into a large number of classes, but 67% and 78% of them were single-profile classes at levels 3 and 4, respectively inside the ca 0.9 km2 area.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk NDVI elevation boxplot scattergram
Megjelenés:	Agrokémia és Talajtan. - 71 : 1 (2022), p. 149-182. -
További szerzők:	Novák Tibor (1973-) (geográfus) Makó András Gallai Bence Czigány Szabolcs Árvai Mátyás Mészáros János Kocsis Mihály László Péter Koós Sándor (agrár) Balog Kitti
Pályázati támogatás:	124290 OTKA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM099671
035-os BibID:	(cikkazonosító)115666 (WoS)000788786000002 (Scopus)85121733665
Első szerző:	Tóth Tibor
Cím:	Practical evaluation of four classification levels of Soil Taxonomy, Hungarian classification and WRB in terms of biomass production in a salt-affected alluvial plot / Tóth Tibor, Gallai Bence, Novák Tibor, Czigány Szabolcs, Makó András, Kocsis Mihály, Árvai Mátyás, Mészáros János, László Péter, Koós Sándor, Balog Kitti
Dátum:	2022
ISSN:	0016-7061
Megjegyzések:	In a salt-affected alluvial plot, increased biomass is associated with increasing elevation and decreasing salt concentration. All four levels of three classification systems, the Soil Taxonomy (ST), the Hungarian classification (HU) and the WRB were evaluated in a 100 m regular grid of 85 profiles for their applicability for biomass estimation (using 10-year average NDVI as proxy) and their correlation with ground elevation. NDVI values reflecting soil formation chronology (from the least to the most developed soils) were found on the first (least detailed) level of the classification systems. By analyzing the aspects of practical applicability, mainly at the detailed levels 3 and 4, HU performed the best in terms of class separability, WRB showed the most homo-geneous classes, HU provided the closest correlation with elevation; while ST operated with the lowest number of classes, and, consequently, had a lower level of homogeneity and weaker correlation with elevation. Both HU and WRB performed well in most aspects, but the latter showed greater homogeneity. WRB had twice as many classes as HU and four times as many compared to ST; thus, their homogeneity increased accordingly. The implementation of a soil classification without profound tests might result in counterproductive classes in terms of class separability, homogeneity of classes, correlation with environmental parameters, and parsimony of classes.
Tárgyszavak:	Természettudományok Környezettudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Goodness-of-classification criterion Electrical conductivity correlation with environmental parameters soil classification WRB soil classification hierarchy salt affected soils
Megjelenés:	Geoderma. - 410 (2022), p. 1-11. -
További szerzők:	Gallai Bence Novák Tibor (1973-) (geográfus) Czigány Szabolcs Makó András Kocsis Mihály Árvai Mátyás Mészáros János László Péter Koós Sándor (agrár) Balog Kitti
Pályázati támogatás:	K 124290 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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