The Brazilian Soil Spectral Service (BraSpecS): A User-Fiendly System for Global Soil Spectra Communication
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92274" target="_blank" >RIV/60460709:41210/22:92274 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/14/3/740" target="_blank" >https://www.mdpi.com/2072-4292/14/3/740</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs14061459" target="_blank" >10.3390/rs14061459</a>
Alternative languages
Result language
angličtina
Original language name
The Brazilian Soil Spectral Service (BraSpecS): A User-Fiendly System for Global Soil Spectra Communication
Original language description
Although many Soil Spectral Libraries (SSLs) have been created globally, these libraries still have not been operationalized for end users. To address this limitation, this study created an online Brazilian Soil Spectral Service (BraSpecS). The system was based on the Brazilian Soil Spectral Library (BSSL) with samples collected in the Visible Near Short wave infrared (visNIRSWIR) and Mid-infrared (MIR) ranges. The interactive platform allows users to find spectra, act as custodians of the data, and estimate several soil properties and classification. The system was tested by 500 Brazilian and 65 international users. Users accessed the platform (besbbr.com.br), uploaded their spectra, and received soil organic carbon (SOC) and clay content prediction results via email. The BraSpecS prediction provided good results for Brazilian data, but performed variably for other countries. Prediction for countries outside of Brazil using local spectra (External Country Soil Spectral Libraries, ExCSSL) mostly show
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
2072-4292
Volume of the periodical
14
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
28
Pages from-to
0-0
UT code for WoS article
000754865000001
EID of the result in the Scopus database
2-s2.0-85124190083