High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92273" target="_blank" >RIV/60460709:41210/22:92273 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00027049:_____/22:N0000019

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0341816222000108" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0341816222000108</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.catena.2022.106024" target="_blank" >10.1016/j.catena.2022.106024</a>

Jazyk výsledku

angličtina

Název v původním jazyce

High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic

Popis výsledku v původním jazyce

Detailed maps of soil properties are essential for soil protection planning and management, however, creating very high resolution maps at the national level with sufficient accuracy is a challenging task and remains unavailable for most countries. For the Czech Republic, very high resolution soil property maps (soil organic carbon SOC, texture, pH, bulk density, soil depth) were created using digital soil mapping methods, combined with a wide database of soil legacy and current samples. The latest approaches were employed for predictive mapping: a quantile random forest model with the determination of prediction intervals, a mosaic of bare soils from Sentinel 2 satellite data, a Gaussian pyramid of terrain attributes, and a buffer distance map. These variables were found to be among the most important in the resulting models. The properties were mapped, thus providing detailed data on soil cover. Greater levels of inaccuracy were found in areas with extreme values, for which further investigation is

Název v anglickém jazyce

High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic

Popis výsledku anglicky

Detailed maps of soil properties are essential for soil protection planning and management, however, creating very high resolution maps at the national level with sufficient accuracy is a challenging task and remains unavailable for most countries. For the Czech Republic, very high resolution soil property maps (soil organic carbon SOC, texture, pH, bulk density, soil depth) were created using digital soil mapping methods, combined with a wide database of soil legacy and current samples. The latest approaches were employed for predictive mapping: a quantile random forest model with the determination of prediction intervals, a mosaic of bare soils from Sentinel 2 satellite data, a Gaussian pyramid of terrain attributes, and a buffer distance map. These variables were found to be among the most important in the resulting models. The properties were mapped, thus providing detailed data on soil cover. Greater levels of inaccuracy were found in areas with extreme values, for which further investigation is

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

<a href="/cs/project/QK1820389" target="_blank" >QK1820389: Vytvoření podrobných aktuálních map půdních vlastností ČR na základě využití dat Komplexního průzkumu půd a metod digitálního mapování půd</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Catena

ISSN

0341-8162

e-ISSN

1872-6887

Svazek periodika

212

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

10

Strana od-do

0-0

Kód UT WoS článku

000791995200001

EID výsledku v databázi Scopus

2-s2.0-85122989943