The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/3/740 |
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| author | 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 |
| author_facet | 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 |
| author_sort | José A. M. Demattê |
| collection | DOAJ |
| 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 (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 R<sup>2</sup> 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. |
| first_indexed | 2024-03-09T23:11:36Z |
| format | Article |
| id | doaj.art-46e96967637e4bd3b52496e73b76f4d8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T23:11:36Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-46e96967637e4bd3b52496e73b76f4d82023-11-23T17:42:43ZengMDPI AGRemote Sensing2072-42922022-02-0114374010.3390/rs14030740The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra CommunicationJosé A. M. Demattê0Ariane Francine da Silveira Paiva1Raul Roberto Poppiel2Nícolas Augusto Rosin3Luis Fernando Chimelo Ruiz4Fellipe Alcantara de Oliveira Mello5Budiman Minasny6Sabine Grunwald7Yufeng Ge8Eyal Ben Dor9Asa Gholizadeh10Cecile Gomez11Sabine Chabrillat12Nicolas Francos13Shamsollah Ayoubi14Dian Fiantis15James Kobina Mensah Biney16Changkun Wang17Abdelaziz Belal18Salman Naimi19Najmeh Asgari Hafshejani20Henrique Bellinaso21Jean Michel Moura-Bueno22Nélida E. Q. Silvero23Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, AustraliaSoil and Water Sciences Department, University of Florida, 2181 McCarty Hall, P.O. Box 110290, Gainesville, FL 32611, USADepartment of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE 68583, USADepartment of Geography, Porter School of Environmental and Earth Science, Faculty of Exact Science, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, IsraelDepartment of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500 Prague, Czech RepublicLaboratoire d’Etude des Interactions entre Sol-Agrosystème-Hydrosystème, University of Montpellier, National Research Institute for Agriculture, Food and Environment, Institute of Research for Development, Montpellier SupAgro, 34060 Montpellier, FranceHelmholtz Center Potsdam GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics, Telegrafenberg, 14473 Potsdam, GermanyDepartment of Geography, Porter School of Environmental and Earth Science, Faculty of Exact Science, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, IsraelDepartment of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Soil Science, Faculty of Agriculture, Universitas Andalas, Padang 25163, IndonesiaDepartment of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500 Prague, Czech RepublicState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, ChinaAgriculture Application, Soil and Marine Division, National Authority for Remote Sensing and Space Sciences (NARSS), Alfmaskan, Cairo P.O. Box 1564, EgyptDepartment of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilDepartment of Agronomy, University of Cruz Alta, Highway Jacob Della Méa, km 5.6, Cruz Alta 98005-972, BrazilDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, BrazilAlthough 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 R<sup>2</sup> 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.https://www.mdpi.com/2072-4292/14/3/740proximal soil sensingsoil spectral libraryspectroscopysoil analysissoil qualityprecision agriculture |
| spellingShingle | 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 The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication Remote Sensing proximal soil sensing soil spectral library spectroscopy soil analysis soil quality precision agriculture |
| title | The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication |
| title_full | The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication |
| title_fullStr | The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication |
| title_full_unstemmed | The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication |
| title_short | The Brazilian <i>S</i>oil <i>S</i>pectral <i>S</i>ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication |
| title_sort | brazilian i s i oil i s i pectral i s i ervice braspecs a user friendly system for global soil spectra communication |
| topic | proximal soil sensing soil spectral library spectroscopy soil analysis soil quality precision agriculture |
| url | https://www.mdpi.com/2072-4292/14/3/740 |
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