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The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication

Authors :
José A. M. Demattê
Ariane Francine da Silveira Paiva
Raul Roberto Poppiel
Nícolas Augusto Rosin
Luis Fernando Chimelo Ruiz
Fellipe Alcantara de Oliveira Mello
Budiman Minasny
Sabine Grunwald
Yufeng Ge
Eyal Ben Dor
Asa Gholizadeh
Cecile Gomez
Sabine Chabrillat
Nicolas Francos
Shamsollah Ayoubi
Dian Fiantis
James Kobina Mensah Biney
Changkun Wang
Abdelaziz Belal
Salman Naimi
Najmeh Asgari Hafshejani
Henrique Bellinaso
Jean Michel Moura-Bueno
Nélida E. Q. Silvero
Universidade de São Paulo = University of São Paulo (USP)
The University of Sydney
University of Florida [Gainesville] (UF)
University of Nebraska–Lincoln
University of Nebraska System
Tel Aviv University (TAU)
Czech University of Life Sciences Prague (CZU)
Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH)
Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ)
Leibniz Universität Hannover=Leibniz University Hannover
Isfahan University of Technology
Andalas University
Chinese Academy of Sciences [Nanjing Branch]
National Authority for Remote Sensing and Space Sciences (NARSS)
University of Cruz Alta (UNICRUZ)
This research was funded by Sao Paulo Research Foundation (FAPESP) (grant numbers 2014/22262-0, 2016/26176-6, and 2020/04306-0).
Source :
Remote Sensing, Vol 14, Iss 740, p 740 (2022), Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP, Remote Sensing, Volume 14, Issue 3, Pages: 740, Remote Sensing, 2022, 14 (3), ⟨10.3390/rs14030740⟩
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

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 (vis–NIR–SWIR) 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 showed greater performance than BraSpecS. Clay R2 ranged from 0.5 (BraSpecS) to 0.8 (ExCSSL) in vis–NIR–SWIR, but BraSpecS MIR models were more accurate in most situations. The development of external models based on the fusion of local samples with BSSL formed the Global Soil Spectral Library (GSSL). The GSSL models improved soil properties prediction for different countries. Nevertheless, the proposed system needs to be continually updated with new spectra so they can be applied broadly. Accordingly, the online system is dynamic, users can contribute their data and the models will adapt to local information. Our community-driven web platform allows users to predict soil attributes without learning soil spectral modeling, which will invite end-users to utilize this powerful technique.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
740
Database :
OpenAIRE
Journal :
Remote Sensing
Accession number :
edsair.doi.dedup.....49b863b61feafa81ac675b8d0bdcb090
Full Text :
https://doi.org/10.3390/rs14030740⟩