Inscriere cercetatori

Premii Ad Astra

premii Ad Astra

Asociația Ad Astra a anunțat câștigătorii Premiilor Ad Astra 2022: http://premii.ad-astra.ro/. Proiectul și-a propus identificarea și popularizarea modelelor de succes, a rezultatelor excepționale ale cercetătorilor români din țară și din afara ei.

Asociatia Ad Astra a cercetatorilor romani lanseaza BAZA DE DATE A CERCETATORILOR ROMANI DIN DIASPORA. Scopul acestei baze de date este aceea de a stimula colaborarea dintre cercetatorii romani de peste hotare dar si cu cercetatorii din Romania. Cercetatorii care doresc sa fie nominalizati in aceasta baza de date sunt rugati sa trimita un email la cristian.presura@gmail.com

Land-Surface Segmentation as sampling framework for soil mapping

Domenii publicaţii > Ştiinţele pământului şi planetare + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: Lucian Drãguţ, Andrei Dornik

Editorial: T. Guoan, Z. Qiming, H. Mitasova, T. Hengl, Proceedings Geomorphometry 2013, p.O-16-1-O-1, 2013.

Rezumat:

Current sampling methods require a large number of samples to account for spatial variation of environmental covariates, which often conflicts the available financial resources. Thus, efficient sampling strategies are desirable. The aim of this study was to evaluate the potential of land-surface segmentation in stratifying a landscape into homogeneous areas, which can be used as support in optimizing soil sampling. The experiments were carried out in a study area where soil samples were available. Land-surface variables were derived from DEMs and segmented with a multiresolution segmentation (MRS) algorithm, into objects considered as homogeneous soil-landscape divisions. Thus, one sample was randomly selected within each segment, based on which predictions of the A-horizon thickness and soil types, were made. Predictions based on the land-surface segmentation sampling schemes outperformed predictions based on simple random sampling and conditioned Latin hypercube, respectively.

Cuvinte cheie: spatial variation; optimal design; A-horizon thickness; simple random sampling; conditioned Latin hypercube

URL: http://geomorphometry.org/system/files/DragutDornik2013geomorphometry.pdf