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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
23/10/2020 |
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Actualizado : |
09/04/2021 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
HASTINGS, F.; FUENTES, I.; PÉREZ-BIDEGAIN, M.; NAVAS, R.; GORGOGLIONE, A. |
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Afiliación : |
FLORENCIA HASTINGS, School of Agronomy Universidad de la República, Montevideo, Uruguay; Directorate of Natural Resources, Ministry of Agriculture, Livestock and Fisheries, Montevideo, Uruguay; IGNACIO FUENTES, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia; MARIO PÉREZ-BIDEGAIN, School of Agronomy, Universidad de la República, Montevideo, Uruguay; RAFAEL NAVAS NÚÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ÁNGELA GORGOGLIONE, School of Engineering, Universidad de la República, Montevideo, Uruguay. |
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Título : |
Land-cover mapping of agricultural areas using machine learning in Google Earth engine. (Conference paper) |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
In: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. International Conference on Computational Science and Its Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_52 |
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ISBN : |
e-ISBN: 978-3-030-58811-3 |
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DOI : |
10.1007/978-3-030-58811-3_52 |
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Idioma : |
Inglés |
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Notas : |
Article history: First Online 29 September 2020. Volume Editors: Gervasi O.,Murgante B.,Misra S. .,Garau C.,Blecic I.,Taniar D.,Apduhan B.O.,Rocha A.M.A.C.,Tarantino E.,Torre C.M.,Karaca Y. Publisher: Springer Science and Business Media Deutschland GmbH.
20th International Conference on Computational Science and Its Applications, ICCSA 2020; Cagliari; Italy; 1 July 2020 through 4 July 2020; Code 249529.
Corresponding author: Hastings, F.; School of Agronomy, Universidad de la República, Av. Gral. Eugenio Garzón 780, Montevideo, Uruguay; email:fhastings@mgap.gub.uy |
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Contenido : |
Land-cover mapping is critically needed in land-use planning and policy making. Compared to other techniques, Google Earth Engine (GEE) offers a free cloud of satellite information and high computation capabilities. In this context, this article examines machine learning with GEE for land-cover mapping. For this purpose, a five-phase procedure is applied: (1) imagery selection and pre-processing, (2) selection of the classes and training samples, (3) classification process, (4) post-classification, and (5) validation. The study region is located in the San Salvador basin (Uruguay), which is under agricultural intensification. As a result, the 1990 land-cover map of the San Salvador basin is produced. The new map shows good agreements with past agriculture census and reveals the transformation of grassland to cropland in the period 1990?2018. © 2020, Springer Nature Switzerland AG. |
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Palabras claves : |
Agricultural region; Google earth engine; Land-cover map; Supervised classification. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 02413nam a2200229 a 4500
001 1061424
005 2021-04-09
008 2020 bl uuuu u0uu1 u #d
024 7 $a10.1007/978-3-030-58811-3_52$2DOI
100 1 $aHASTINGS, F.
245 $aLand-cover mapping of agricultural areas using machine learning in Google Earth engine. (Conference paper)$h[electronic resource]
260 $aIn: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. International Conference on Computational Science and Its Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_52$c1007
500 $aArticle history: First Online 29 September 2020. Volume Editors: Gervasi O.,Murgante B.,Misra S. .,Garau C.,Blecic I.,Taniar D.,Apduhan B.O.,Rocha A.M.A.C.,Tarantino E.,Torre C.M.,Karaca Y. Publisher: Springer Science and Business Media Deutschland GmbH. 20th International Conference on Computational Science and Its Applications, ICCSA 2020; Cagliari; Italy; 1 July 2020 through 4 July 2020; Code 249529. Corresponding author: Hastings, F.; School of Agronomy, Universidad de la República, Av. Gral. Eugenio Garzón 780, Montevideo, Uruguay; email:fhastings@mgap.gub.uy
520 $aLand-cover mapping is critically needed in land-use planning and policy making. Compared to other techniques, Google Earth Engine (GEE) offers a free cloud of satellite information and high computation capabilities. In this context, this article examines machine learning with GEE for land-cover mapping. For this purpose, a five-phase procedure is applied: (1) imagery selection and pre-processing, (2) selection of the classes and training samples, (3) classification process, (4) post-classification, and (5) validation. The study region is located in the San Salvador basin (Uruguay), which is under agricultural intensification. As a result, the 1990 land-cover map of the San Salvador basin is produced. The new map shows good agreements with past agriculture census and reveals the transformation of grassland to cropland in the period 1990?2018. © 2020, Springer Nature Switzerland AG.
653 $aAgricultural region
653 $aGoogle earth engine
653 $aLand-cover map
653 $aSupervised classification
700 1 $aFUENTES, I.
700 1 $aPÉREZ-BIDEGAIN, M.
700 1 $aNAVAS, R.
700 1 $aGORGOGLIONE, A.
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INIA Las Brujas (LB) |
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| Registros recuperados : 24 | |
| 21. |  | ANTÚNEZ, K.; ARREDONDO, D.; CASTELLI, L.; SILVA, F.; AÑON, G.; HARRIET, J.; CAMPÁ, J.; INVERNIZZI, C.; ZUNINO, P. Desarrollo de una estrategia natural para el control de Varroa destructor, integrando el uso de probióticos y productos orgánicos. Montevideo (UY): INIA, 2019. 31 p. (Serie FPTA-INIA; 75). Proyecto FPTA-329: Desarrollo de una estrategia natural para el control de Varroa destructor, integrando el uso de probióticos y productos orgánicos. Periodo de ejecución: Febrero 2014 ? Junio 2017. Institución Ejecutora: MEC/ IIBCE...| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 22. | | ANTÚNEZ, K.; ANIDO, M.; BRANCHICCELA, M.B.; HARRIET, J.; CAMPÁ, J.; INVERNIZZI, C.; MARTIN-HERNÁNDEZ, R.; HIGES, M.; ZUNINO, P. Despoblación de colmenas Montevideo (UY): INIA, 2013. 36 p. (Serie FPTA-INIA; 41) Proyecto FPTA 258: Despoblación de colmenas: determinación de sus causas en Uruguay. Período de Ejecución: Febrero 2009 - Octubre 2011| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| 23. | | INVERNIZZI, C.; ABUD, C.; TOMASCO, I.H.; HARRIET, J.; RAMALLO, G.; CAMPÁ, J.; KATZ, H.; GARDIOL, G.; MENDOZA, Y. Presence of Nosema ceranae in honeybees (Apis mellifera) in Uruguay. Journal of Invertebrate Pathology, June 2009, Volume 101, Issue 2, Pages 150-153. Article history: Received 14 November 2008 / Accepted 31 March 2009 / Available online 7 April 2009.
Funding information: We are grateful to Dr. Mariano Higes for providing samples of bees infected with N. ceranae and N. apis . We would...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
| Biblioteca(s): INIA Las Brujas. |
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| 24. | | RÍOS, M.; ZALDÚA, N.; CARRASCO-LETELIER, L.; HARRIET, J.; PEDRETTI, R.; BAETEN, G.; NIETO, J.; STEINHARDT, M.; POSSE, S.; MAIDANA, R.; IVANCHENKO, J.; CÁCERES, M.; ROSANO, Á. Evaluación participativa de niveles de plaguicidas en la producción apícola en la cuenca del sitio RAMSAR. In: RÍOS, M ZALDÚA N. CUPEIRO, S. (Ed.). Evaluación participativa de plaguicidas en el sitio RAMSAR, Parque Nacional Esteros de Farrapos e Islas del Río Uruguay. Montevideo, UY: Vida Silvestre, 2010. p. 41-58.| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 24 | |
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