A global spectral library to characterize the world’s soil
Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological balances and food security. It is important that we learn more about so...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2016
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/70992 |
| _version_ | 1855526597915836416 |
|---|---|
| author | Viscarra Rossel, Raphael A. Behrens, T Ben-Dor, E. Brown, D.J. Demattê, JAM Shepherd, Keith D. Shi, Z Stenberg, B Stevens, A Adamchuk, V Aïchik, H Barthèsl, BG Bartholomeus, H.M. Bayer, AD Bernoux, Martial Böttchero, K Brodský, L Du, CW Chappell, A Fouad, Y Genot, V Gómez, C. Grunwald, S. Gubler, A Hedley, CB Knadel, M Morrás, HJM Nocita, M Ramírez Lopez, L. Roudier, P. Rufasto Campos, EM Sanborn, P Sellitto, VM Sudduth, KA Rawlins, BG Walter, C Winowiecki, Leigh Ann Hong, SY Ji, W |
| author_browse | Adamchuk, V Aïchik, H Bartholomeus, H.M. Barthèsl, BG Bayer, AD Behrens, T Ben-Dor, E. Bernoux, Martial Brodský, L Brown, D.J. Böttchero, K Chappell, A Demattê, JAM Du, CW Fouad, Y Genot, V Grunwald, S. Gubler, A Gómez, C. Hedley, CB Hong, SY Ji, W Knadel, M Morrás, HJM Nocita, M Ramírez Lopez, L. Rawlins, BG Roudier, P. Rufasto Campos, EM Sanborn, P Sellitto, VM Shepherd, Keith D. Shi, Z Stenberg, B Stevens, A Sudduth, KA Viscarra Rossel, Raphael A. Walter, C Winowiecki, Leigh Ann |
| author_facet | Viscarra Rossel, Raphael A. Behrens, T Ben-Dor, E. Brown, D.J. Demattê, JAM Shepherd, Keith D. Shi, Z Stenberg, B Stevens, A Adamchuk, V Aïchik, H Barthèsl, BG Bartholomeus, H.M. Bayer, AD Bernoux, Martial Böttchero, K Brodský, L Du, CW Chappell, A Fouad, Y Genot, V Gómez, C. Grunwald, S. Gubler, A Hedley, CB Knadel, M Morrás, HJM Nocita, M Ramírez Lopez, L. Roudier, P. Rufasto Campos, EM Sanborn, P Sellitto, VM Sudduth, KA Rawlins, BG Walter, C Winowiecki, Leigh Ann Hong, SY Ji, W |
| author_sort | Viscarra Rossel, Raphael A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological 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 analyzed a global soil visible–near infrared (vis–NIR) spectral library. It is currently the largest 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 usefulness of the global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity, and pH. Using wavelets to treat the spectra, which were recorded in different laboratories using different spectrometers and methods, helped to improve the spectroscopic modelling. We found that modelling a diverse set of spectra with a machine learning algorithm can find the local relationships in the data to produce accurate predictions of soil properties. The spectroscopic models that we derived are parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, which might serve to facilitate research on soil at the global scale. This spectroscopic approach should help to deal with the shortage of data on soil to better understand it and to meet the growing demand for information to assess and monitor soil at scales ranging from regional to global. New contributions to the library are encouraged so that this work and our collaboration might progress to develop a dynamic and easily updatable database with better global coverage. We hope that this work will reinvigorate our community's discussion towards larger, more coordinated collaborations. We also hope that use of the database will deepen our understanding of soil so that we might sustainably manage it and extend the research outcomes of the soil, earth and environmental sciences towards applications that we have not yet dreamed of. |
| format | Journal Article |
| id | CGSpace70992 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace709922025-03-13T09:44:20Z A global spectral library to characterize the world’s soil Viscarra Rossel, Raphael A. Behrens, T Ben-Dor, E. Brown, D.J. Demattê, JAM Shepherd, Keith D. Shi, Z Stenberg, B Stevens, A Adamchuk, V Aïchik, H Barthèsl, BG Bartholomeus, H.M. Bayer, AD Bernoux, Martial Böttchero, K Brodský, L Du, CW Chappell, A Fouad, Y Genot, V Gómez, C. Grunwald, S. Gubler, A Hedley, CB Knadel, M Morrás, HJM Nocita, M Ramírez Lopez, L. Roudier, P. Rufasto Campos, EM Sanborn, P Sellitto, VM Sudduth, KA Rawlins, BG Walter, C Winowiecki, Leigh Ann Hong, SY Ji, W soil databases statistical methods spectroscopy machine learning soil chemicophysical properties suelo bases de datos métodos estadísticos espectroscopia aprendizaje electrónico propiedades fisico-químicas suelo Soil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological 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 analyzed a global soil visible–near infrared (vis–NIR) spectral library. It is currently the largest 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 usefulness of the global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity, and pH. Using wavelets to treat the spectra, which were recorded in different laboratories using different spectrometers and methods, helped to improve the spectroscopic modelling. We found that modelling a diverse set of spectra with a machine learning algorithm can find the local relationships in the data to produce accurate predictions of soil properties. The spectroscopic models that we derived are parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, which might serve to facilitate research on soil at the global scale. This spectroscopic approach should help to deal with the shortage of data on soil to better understand it and to meet the growing demand for information to assess and monitor soil at scales ranging from regional to global. New contributions to the library are encouraged so that this work and our collaboration might progress to develop a dynamic and easily updatable database with better global coverage. We hope that this work will reinvigorate our community's discussion towards larger, more coordinated collaborations. We also hope that use of the database will deepen our understanding of soil so that we might sustainably manage it and extend the research outcomes of the soil, earth and environmental sciences towards applications that we have not yet dreamed of. 2016-04 2016-02-11T20:06:32Z 2016-02-11T20:06:32Z Journal Article https://hdl.handle.net/10568/70992 en Open Access Elsevier Viscarra Rossel, R.A.; Behrens, T.; Ben-Dor, E.; Brown, D.J.; Demattê, J.A.M.; Shepherd, K.D.; Shi, Z.; Stenberg, B.; Stevens, A.; Adamchuk, V.; Aïchik, H.; Barthèsl, B.G.; Bartholomeus, H.M.; Bayer, A.D.; Bernoux, M.; Böttchero, K.; Brodský, L.; Du, C.W.; Chappell, A.; Fouad, Y.; Genot, V.; Gomez, C.; Grunwald, S.; Gubler, A.; Hedley, C.B.; Knadel, M.; Morrás, H.J.M.; Nocita, M.; Ramirez-Lopez, L.; Roudier, P.; Rufasto Campos, E.M.; Sanborn, P.; Sellitto, V.M.; Sudduth, K.A.; Rawlins, B.G.; Walter, C.; Winowiecki, Leigh Ann; Hong, S.Y.; Ji, W.. 2016. A global spectral library to characterize the world’s soil. Earth-Science Reviews 155:198-230. |
| spellingShingle | soil databases statistical methods spectroscopy machine learning soil chemicophysical properties suelo bases de datos métodos estadísticos espectroscopia aprendizaje electrónico propiedades fisico-químicas suelo Viscarra Rossel, Raphael A. Behrens, T Ben-Dor, E. Brown, D.J. Demattê, JAM Shepherd, Keith D. Shi, Z Stenberg, B Stevens, A Adamchuk, V Aïchik, H Barthèsl, BG Bartholomeus, H.M. Bayer, AD Bernoux, Martial Böttchero, K Brodský, L Du, CW Chappell, A Fouad, Y Genot, V Gómez, C. Grunwald, S. Gubler, A Hedley, CB Knadel, M Morrás, HJM Nocita, M Ramírez Lopez, L. Roudier, P. Rufasto Campos, EM Sanborn, P Sellitto, VM Sudduth, KA Rawlins, BG Walter, C Winowiecki, Leigh Ann Hong, SY Ji, W A global spectral library to characterize the world’s soil |
| title | A global spectral library to characterize the world’s soil |
| title_full | A global spectral library to characterize the world’s soil |
| title_fullStr | A global spectral library to characterize the world’s soil |
| title_full_unstemmed | A global spectral library to characterize the world’s soil |
| title_short | A global spectral library to characterize the world’s soil |
| title_sort | global spectral library to characterize the world s soil |
| topic | soil databases statistical methods spectroscopy machine learning soil chemicophysical properties suelo bases de datos métodos estadísticos espectroscopia aprendizaje electrónico propiedades fisico-químicas suelo |
| url | https://hdl.handle.net/10568/70992 |
| work_keys_str_mv | AT viscarrarosselraphaela aglobalspectrallibrarytocharacterizetheworldssoil AT behrenst aglobalspectrallibrarytocharacterizetheworldssoil AT bendore aglobalspectrallibrarytocharacterizetheworldssoil AT browndj aglobalspectrallibrarytocharacterizetheworldssoil AT demattejam aglobalspectrallibrarytocharacterizetheworldssoil AT shepherdkeithd aglobalspectrallibrarytocharacterizetheworldssoil AT shiz aglobalspectrallibrarytocharacterizetheworldssoil AT stenbergb aglobalspectrallibrarytocharacterizetheworldssoil AT stevensa aglobalspectrallibrarytocharacterizetheworldssoil AT adamchukv aglobalspectrallibrarytocharacterizetheworldssoil AT aichikh aglobalspectrallibrarytocharacterizetheworldssoil AT bartheslbg aglobalspectrallibrarytocharacterizetheworldssoil AT bartholomeushm aglobalspectrallibrarytocharacterizetheworldssoil AT bayerad aglobalspectrallibrarytocharacterizetheworldssoil AT bernouxmartial aglobalspectrallibrarytocharacterizetheworldssoil AT bottcherok aglobalspectrallibrarytocharacterizetheworldssoil AT brodskyl aglobalspectrallibrarytocharacterizetheworldssoil AT ducw aglobalspectrallibrarytocharacterizetheworldssoil AT chappella aglobalspectrallibrarytocharacterizetheworldssoil AT fouady aglobalspectrallibrarytocharacterizetheworldssoil AT genotv aglobalspectrallibrarytocharacterizetheworldssoil AT gomezc aglobalspectrallibrarytocharacterizetheworldssoil AT grunwalds aglobalspectrallibrarytocharacterizetheworldssoil AT gublera aglobalspectrallibrarytocharacterizetheworldssoil AT hedleycb aglobalspectrallibrarytocharacterizetheworldssoil AT knadelm aglobalspectrallibrarytocharacterizetheworldssoil AT morrashjm aglobalspectrallibrarytocharacterizetheworldssoil AT nocitam aglobalspectrallibrarytocharacterizetheworldssoil AT ramirezlopezl aglobalspectrallibrarytocharacterizetheworldssoil AT roudierp aglobalspectrallibrarytocharacterizetheworldssoil AT rufastocamposem aglobalspectrallibrarytocharacterizetheworldssoil AT sanbornp aglobalspectrallibrarytocharacterizetheworldssoil AT sellittovm aglobalspectrallibrarytocharacterizetheworldssoil AT sudduthka aglobalspectrallibrarytocharacterizetheworldssoil AT rawlinsbg aglobalspectrallibrarytocharacterizetheworldssoil AT walterc aglobalspectrallibrarytocharacterizetheworldssoil AT winowieckileighann aglobalspectrallibrarytocharacterizetheworldssoil AT hongsy aglobalspectrallibrarytocharacterizetheworldssoil AT jiw aglobalspectrallibrarytocharacterizetheworldssoil AT viscarrarosselraphaela globalspectrallibrarytocharacterizetheworldssoil AT behrenst globalspectrallibrarytocharacterizetheworldssoil AT bendore globalspectrallibrarytocharacterizetheworldssoil AT browndj globalspectrallibrarytocharacterizetheworldssoil AT demattejam globalspectrallibrarytocharacterizetheworldssoil AT shepherdkeithd globalspectrallibrarytocharacterizetheworldssoil AT shiz globalspectrallibrarytocharacterizetheworldssoil AT stenbergb globalspectrallibrarytocharacterizetheworldssoil AT stevensa globalspectrallibrarytocharacterizetheworldssoil AT adamchukv globalspectrallibrarytocharacterizetheworldssoil AT aichikh globalspectrallibrarytocharacterizetheworldssoil AT bartheslbg globalspectrallibrarytocharacterizetheworldssoil AT bartholomeushm globalspectrallibrarytocharacterizetheworldssoil AT bayerad globalspectrallibrarytocharacterizetheworldssoil AT bernouxmartial globalspectrallibrarytocharacterizetheworldssoil AT bottcherok globalspectrallibrarytocharacterizetheworldssoil AT brodskyl globalspectrallibrarytocharacterizetheworldssoil AT ducw globalspectrallibrarytocharacterizetheworldssoil AT chappella globalspectrallibrarytocharacterizetheworldssoil AT fouady globalspectrallibrarytocharacterizetheworldssoil AT genotv globalspectrallibrarytocharacterizetheworldssoil AT gomezc globalspectrallibrarytocharacterizetheworldssoil AT grunwalds globalspectrallibrarytocharacterizetheworldssoil AT gublera globalspectrallibrarytocharacterizetheworldssoil AT hedleycb globalspectrallibrarytocharacterizetheworldssoil AT knadelm globalspectrallibrarytocharacterizetheworldssoil AT morrashjm globalspectrallibrarytocharacterizetheworldssoil AT nocitam globalspectrallibrarytocharacterizetheworldssoil AT ramirezlopezl globalspectrallibrarytocharacterizetheworldssoil AT roudierp globalspectrallibrarytocharacterizetheworldssoil AT rufastocamposem globalspectrallibrarytocharacterizetheworldssoil AT sanbornp globalspectrallibrarytocharacterizetheworldssoil AT sellittovm globalspectrallibrarytocharacterizetheworldssoil AT sudduthka globalspectrallibrarytocharacterizetheworldssoil AT rawlinsbg globalspectrallibrarytocharacterizetheworldssoil AT walterc globalspectrallibrarytocharacterizetheworldssoil AT winowieckileighann globalspectrallibrarytocharacterizetheworldssoil AT hongsy globalspectrallibrarytocharacterizetheworldssoil AT jiw globalspectrallibrarytocharacterizetheworldssoil |