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%2F00027049%3A_____%2F22%3AN0000019" target="_blank" >RIV/00027049:_____/22:N0000019 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41210/22:92273

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S0341816222000108" target="_blank" >https://www.sciencedirect.com/science/article/abs/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 (20 m⋅pixel???? 1) 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 with an RMSE accuracy of 0.43% SOC, 5.56–11.14% for texture fractions, 0.70 pH, 0.13 g⋅cm???? 3 bulk density, and 20.03 cm for soil depth, thus providing detailed data on soil cover. Greater levels of inaccuracy were found in areas with extreme values, for which further investigation is necessary either through more detailed sampling based on active learning, or adapted methods for enhanced predictive ability.

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 (20 m⋅pixel???? 1) 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 with an RMSE accuracy of 0.43% SOC, 5.56–11.14% for texture fractions, 0.70 pH, 0.13 g⋅cm???? 3 bulk density, and 20.03 cm for soil depth, thus providing detailed data on soil cover. Greater levels of inaccuracy were found in areas with extreme values, for which further investigation is necessary either through more detailed sampling based on active learning, or adapted methods for enhanced predictive ability.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

—

Svazek periodika

2022

Číslo periodika v rámci svazku

212

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

24

Strana od-do

106024

Kód UT WoS článku

000791995200001

EID výsledku v databázi Scopus

2-s2.0-85122989943