Influence of Elevation Data Resolution on Spatial Prediction of Colluvial Soils in a Luvisol Region
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F16%3A71401" target="_blank" >RIV/60460709:41210/16:71401 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1371/journal.pone.0165699" target="_blank" >http://dx.doi.org/10.1371/journal.pone.0165699</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0165699" target="_blank" >10.1371/journal.pone.0165699</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Influence of Elevation Data Resolution on Spatial Prediction of Colluvial Soils in a Luvisol Region
Popis výsledku v původním jazyce
The development of a soil cover is a dynamic process. Soil cover can be altered within a few decades, which requires updating of the legacy soil maps. Soil erosion is one of the most important processes quickly altering soil cover on agriculture land. Colluvial soils develop in concave parts of the landscape as a consequence of sedimentation of eroded material. Colluvial soils are recognised as important soil units because they are a vast sink of soil organic carbon. Terrain derivatives became an important tool in digital soil mapping and are among the most popular auxiliary data used for quantitative spatial prediction. Prediction success rates are often directly dependent on raster resolution. In our study, we tested how raster resolution (1, 2, 3, 5, 10, 20 and 30 meters) influences spatial prediction of colluvial soils. Terrain derivatives (altitude, slope, plane curvature, topographic position index, LS factor and convergence index) were calculated for the given raster resolutions. Fou
Název v anglickém jazyce
Influence of Elevation Data Resolution on Spatial Prediction of Colluvial Soils in a Luvisol Region
Popis výsledku anglicky
The development of a soil cover is a dynamic process. Soil cover can be altered within a few decades, which requires updating of the legacy soil maps. Soil erosion is one of the most important processes quickly altering soil cover on agriculture land. Colluvial soils develop in concave parts of the landscape as a consequence of sedimentation of eroded material. Colluvial soils are recognised as important soil units because they are a vast sink of soil organic carbon. Terrain derivatives became an important tool in digital soil mapping and are among the most popular auxiliary data used for quantitative spatial prediction. Prediction success rates are often directly dependent on raster resolution. In our study, we tested how raster resolution (1, 2, 3, 5, 10, 20 and 30 meters) influences spatial prediction of colluvial soils. Terrain derivatives (altitude, slope, plane curvature, topographic position index, LS factor and convergence index) were calculated for the given raster resolutions. Fou
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40104 - Soil science
Návaznosti výsledku
Projekt
<a href="/cs/project/GP13-07516P" target="_blank" >GP13-07516P: Vývoj metod pro mapovaní koluvizemí na základě půdně-terénního modelování</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
PLoS One
ISSN
1932-6203
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
11
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
18
Strana od-do
0149882
Kód UT WoS článku
000387794600017
EID výsledku v databázi Scopus
2-s2.0-84995687585