Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F20%3A81323" target="_blank" >RIV/60460709:41210/20:81323 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0341816220300345" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0341816220300345</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.catena.2020.104485" target="_blank" >10.1016/j.catena.2020.104485</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths

Popis výsledku v původním jazyce

The demand for quality and low cost soil information is growing due to the demands of land use planning and precision agriculture. Soil texture is one of the key soil properties, as it determines other vital soil characteristics such as soil structure, water and thermal regime, diversity of living organisms, plant growth, as well as the soil quality in general. It is usually not constant over an area, varying in space and with soil depth. Routine soil texture analysis is, however, time consuming and expensive. Because of this, the success of proximal soil sensing techniques in estimate soil properties using the VIS NIR SWIR and MIR regions is increasing.

Název v anglickém jazyce

Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths

Popis výsledku anglicky

The demand for quality and low cost soil information is growing due to the demands of land use planning and precision agriculture. Soil texture is one of the key soil properties, as it determines other vital soil characteristics such as soil structure, water and thermal regime, diversity of living organisms, plant growth, as well as the soil quality in general. It is usually not constant over an area, varying in space and with soil depth. Routine soil texture analysis is, however, time consuming and expensive. Because of this, the success of proximal soil sensing techniques in estimate soil properties using the VIS NIR SWIR and MIR regions is increasing.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

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

189

Číslo periodika v rámci svazku

june

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

0-0

Kód UT WoS článku

000525324300020

EID výsledku v databázi Scopus

2-s2.0-85078405712