A global spectral library to characterize the world´s soil

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F16%3A70407" target="_blank" >RIV/60460709:41210/16:70407 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.earscirev.2016.01.O12" target="_blank" >http://dx.doi.org/10.1016/j.earscirev.2016.01.O12</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.earscirev.2016.01.O12" target="_blank" >10.1016/j.earscirev.2016.01.O12</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A global spectral library to characterize the world´s soil

Popis výsledku v původním jazyce

Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greeenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agroecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for future generations. To this end, we developed and analyzešd a global soil visible-near infrared (vis-NIR) spectral library. It is currently the largenst and most diverse database of its kind. We show that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability. We also show the usefulnesss of the global spectra for predictiong soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity and pH.

Název v anglickém jazyce

A global spectral library to characterize the world´s soil

Popis výsledku anglicky

Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greeenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agroecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for future generations. To this end, we developed and analyzešd a global soil visible-near infrared (vis-NIR) spectral library. It is currently the largenst and most diverse database of its kind. We show that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability. We also show the usefulnesss of the global spectra for predictiong soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity and pH.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

EARTH-SCIENCE REVIEWS

ISSN

0012-8252

e-ISSN

—

Svazek periodika

155

Číslo periodika v rámci svazku

N

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

33

Strana od-do

198-230

Kód UT WoS článku

000374624800011

EID výsledku v databázi Scopus

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