Soil organic carbon and texture retrieving and mapping using proximal, ariborne and Sentinel-2 spectral imaging

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F18%3A77387" target="_blank" >RIV/60460709:41210/18:77387 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.rse.2018.09.015" target="_blank" >http://dx.doi.org/10.1016/j.rse.2018.09.015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rse.2018.09.015" target="_blank" >10.1016/j.rse.2018.09.015</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Soil organic carbon and texture retrieving and mapping using proximal, ariborne and Sentinel-2 spectral imaging

Popis výsledku v původním jazyce

Soil Organic Carbon is a useful representative of soil fertility and an essential parameter in controlling thedynamics of various agrochemicals in soil. Soil texture is also used to calculate soils ability to retain water for plant growth. SOC andsoil texture are thus important parameters of agricultral soils and need to be regularly the recently operated Sentinel 2 missions provide free imagery. This study compared the capabilities on Sentinel 2 for monitoring and mapping of SOC and soil texture with those obtained from airborne hyperspectral and lab ASD FieldSpec spectroradiometer measurements at four agricultural sites in the Czech Republic. Combination of 10 extracted bands of the Sentinel-2 and 18 spectral indices, as independent variables, were used to train prediction models and then produce spatial distribution maps of the selected attributes. Results showed that the prediction accuracy based on lab spectroscopy, airborne and Sentinel-2 in the majority of the sites was adequate for SOC and fa

Název v anglickém jazyce

Soil organic carbon and texture retrieving and mapping using proximal, ariborne and Sentinel-2 spectral imaging

Popis výsledku anglicky

Soil Organic Carbon is a useful representative of soil fertility and an essential parameter in controlling thedynamics of various agrochemicals in soil. Soil texture is also used to calculate soils ability to retain water for plant growth. SOC andsoil texture are thus important parameters of agricultral soils and need to be regularly the recently operated Sentinel 2 missions provide free imagery. This study compared the capabilities on Sentinel 2 for monitoring and mapping of SOC and soil texture with those obtained from airborne hyperspectral and lab ASD FieldSpec spectroradiometer measurements at four agricultural sites in the Czech Republic. Combination of 10 extracted bands of the Sentinel-2 and 18 spectral indices, as independent variables, were used to train prediction models and then produce spatial distribution maps of the selected attributes. Results showed that the prediction accuracy based on lab spectroscopy, airborne and Sentinel-2 in the majority of the sites was adequate for SOC and fa

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

<a href="/cs/project/GA17-27726S" target="_blank" >GA17-27726S: Prostorová predikce půdních vlastností a jednotek založená na poloze v krajině a dalších charakteristikách stanoviště</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Remote Sensing of Environment

ISSN

0034-4257

e-ISSN

1879-0704

Svazek periodika

218

Číslo periodika v rámci svazku

N

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

89-103

Kód UT WoS článku

000449449800007

EID výsledku v databázi Scopus

2-s2.0-85053836935