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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
08/06/2022 |
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Actualizado : |
08/06/2022 |
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Autor : |
VANCUTSEM, C.; PEKEL, J.-F.; KAYITAKIRE F.; DUVEILLER, G.; MERONI, M.; BAETHGEN, W.; CECCATO, P. |
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Afiliación : |
C. VANCUTSEM, European Commission, Joint Research Centre, Institute for Environment and Sustainability, 1-21027 Ispra (VA), Via E. Fermi 2749, Italy; J.-F. PEKEL, European Commission, Joint Research Centre, Institute for Environment and Sustainability, 1-21027 Ispra (VA), Via E. Fermi 2749, Italy; F. KAYITAKIRE, European Commission, Joint Research Centre, Institute for Environment and Sustainability, 1-21027 Ispra (VA), Via E. Fermi 2749, Italy; G. DUVEILLER, European Commission, Joint Research Centre, Institute for Environment and Sustainability, 1-21027 Ispra (VA), Via E. Fermi 2749, Italy; M. MERONI, European Commission, Joint Research Centre, Institute for Environment and Sustainability, 1-21027 Ispra (VA), Via E. Fermi 2749, Italy; WALTER E. BAETHGEN, International Research Institute for Climate and Society (IRI), Earth Institute at Columbia University, Palisades, NY 10964-8000, 61 Route 9W, Monell Building, United States; P. CECCATO, International Research Institute for Climate and Society (IRI), Earth Institute at Columbia University, Palisades, NY 10964-8000, 61 Route 9W, Monell Building, United States. |
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Título : |
Mapping winter and summer crops in Uruguay using MODIS time series. [Conference paper]. |
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Complemento del título : |
2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013. August 12-16 2013. Code 101027 |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2013, pp. 292-295, doi: http://doi.rog/10.1109/Argo-Geoinformatics.2013.6621924 |
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ISBN : |
978-147990868-4 |
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DOI : |
10.1109/Argo-Geoinformatics.2013.6621924 |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT - Agricultural monitoring is a major concern to economies largely based on agriculture like Uruguay. In order to improve crop yield forecasts, identification of crop types must be performed early in the planting season. However, this task is generally difficult because of the spatial heterogeneity of the landscape, the different crop cycles, the spectral similarity with grassland, and the inter-annual variability due to climatic events and fallow periods. In collaboration with INIA, this study investigates remote sensing methods for dynamic mapping of cropland areas and for producing a map of winter and summer crops at 250m using MODIS time series. The originality of the approach consists of: (i) exploiting all the multi-spectral information using an adaptive compositing method for a better discrimination of cropland types and to better capture their spatio-temporal variability; (ii) a spatio-temporal analysis of various land use types prior to the classification for a better knowledge of crops behaviours and the selection of the most discriminating seasons in the classification; and (iii) combining NDVI profiles, multi-spectral composites with reference dataset, high resolution images and expert knowledge. The accuracy of the product is assessed based on a reference dataset of crop fields. The results confirm the relevance of MODIS time series in term of spatial and temporal resolutions for mapping cropland areas and characterizing the inter-annual variability. Thanks to a good reference dataset and an analysis of crops spectro-temporal behaviour, it was possible to identify cropland areas from other land use types and discriminate summer crops from winter crops. MenosABSTRACT - Agricultural monitoring is a major concern to economies largely based on agriculture like Uruguay. In order to improve crop yield forecasts, identification of crop types must be performed early in the planting season. However, this task is generally difficult because of the spatial heterogeneity of the landscape, the different crop cycles, the spectral similarity with grassland, and the inter-annual variability due to climatic events and fallow periods. In collaboration with INIA, this study investigates remote sensing methods for dynamic mapping of cropland areas and for producing a map of winter and summer crops at 250m using MODIS time series. The originality of the approach consists of: (i) exploiting all the multi-spectral information using an adaptive compositing method for a better discrimination of cropland types and to better capture their spatio-temporal variability; (ii) a spatio-temporal analysis of various land use types prior to the classification for a better knowledge of crops behaviours and the selection of the most discriminating seasons in the classification; and (iii) combining NDVI profiles, multi-spectral composites with reference dataset, high resolution images and expert knowledge. The accuracy of the product is assessed based on a reference dataset of crop fields. The results confirm the relevance of MODIS time series in term of spatial and temporal resolutions for mapping cropland areas and characterizing the inter-annual variability. Tha... Presentar Todo |
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Palabras claves : |
Agricultural monitoring; Cropland mapping; Land use; Mean compositing; MODIS time series; Phenology; Spatial and temporal resolutions; Uruguay. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 02708nam a2200301 a 4500
001 1063255
005 2022-06-08
008 2013 bl uuuu u01u1 u #d
020 $a978-147990868-4
024 7 $a10.1109/Argo-Geoinformatics.2013.6621924$2DOI
100 1 $aVANCUTSEM, C.
245 $aMapping winter and summer crops in Uruguay using MODIS time series. [Conference paper].$h[electronic resource]
260 $aSecond International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2013, pp. 292-295, doi: http://doi.rog/10.1109/Argo-Geoinformatics.2013.6621924$c2013
520 $aABSTRACT - Agricultural monitoring is a major concern to economies largely based on agriculture like Uruguay. In order to improve crop yield forecasts, identification of crop types must be performed early in the planting season. However, this task is generally difficult because of the spatial heterogeneity of the landscape, the different crop cycles, the spectral similarity with grassland, and the inter-annual variability due to climatic events and fallow periods. In collaboration with INIA, this study investigates remote sensing methods for dynamic mapping of cropland areas and for producing a map of winter and summer crops at 250m using MODIS time series. The originality of the approach consists of: (i) exploiting all the multi-spectral information using an adaptive compositing method for a better discrimination of cropland types and to better capture their spatio-temporal variability; (ii) a spatio-temporal analysis of various land use types prior to the classification for a better knowledge of crops behaviours and the selection of the most discriminating seasons in the classification; and (iii) combining NDVI profiles, multi-spectral composites with reference dataset, high resolution images and expert knowledge. The accuracy of the product is assessed based on a reference dataset of crop fields. The results confirm the relevance of MODIS time series in term of spatial and temporal resolutions for mapping cropland areas and characterizing the inter-annual variability. Thanks to a good reference dataset and an analysis of crops spectro-temporal behaviour, it was possible to identify cropland areas from other land use types and discriminate summer crops from winter crops.
653 $aAgricultural monitoring
653 $aCropland mapping
653 $aLand use
653 $aMean compositing
653 $aMODIS time series
653 $aPhenology
653 $aSpatial and temporal resolutions
653 $aUruguay
700 1 $aPEKEL, J.-F.
700 1 $aKAYITAKIRE F.
700 1 $aDUVEILLER, G.
700 1 $aMERONI, M.
700 1 $aBAETHGEN, W.
700 1 $aCECCATO, P.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
09/04/2024 |
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Actualizado : |
09/04/2024 |
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Tipo de producción científica : |
Poster |
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Autor : |
GONZÁLEZ, J.M.; TASSANO, M.; QUINCKE, A.; PÉREZ-BIDEGAIN, M.; GRAHMANN, K.; CIGANDA, V.; GOSO, C.; CABRERA, M |
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Afiliación : |
JOAN MANUEL GONZÁLEZ, Área Radiofarmacia, Laboratorio Radioquímica, Centro Investigaciones Nucleares, Facultad de Ciencias, UdelaR, Montevideo, Uruguay; Departamento Geología Sedimentaria y Aplicada, Instituto de Ciencias Geológicas, Facultad de Ciencias, UdelaR, Montevideo; MARCOS TASSANO, Área Radiofarmacia, Laboratorio Radioquímica, Centro Investigaciones Nucleares, Facultad de Ciencias, UdelaR, Montevideo, Uruguay; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIO PÉREZ-BIDEGAIN, Departamento de Suelos y Aguas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; KATHRIN GRAHMANN, Leibniz Centre for Agricultural Landscape Research (ZALF), 15374 Müncheberg, Germany; VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CÉSAR GOSO, Departamento de Geología Sedimentaria y Aplicada, Instituto de Ciencias Geológicas, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; MIREL CABRERA, Área Radiofarmacia, Laboratorio Radioquímica, Centro Investigaciones Nucleares, Facultad de Ciencias, UdelaR, Montevideo, Uruguay. |
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Título : |
Determinación de tasas de erosión por técnicas nucleares en el experimento agrícola de largo plazo más antiguo de Latinoamérica. Resultados preliminares. [Poster + Resumen]. |
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Complemento del título : |
XII Jornada Geociencias, 4 de agosto 2022. Auditorio LATU, Montevideo (Uruguay). |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
In: XII Jornada de Geociencias, Pedeciba, MEC-Udelar. Libro de Resúmenes 2022. |
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Idioma : |
Español |
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Contenido : |
La erosión del suelo es una de las mayores amenazas para la producción sustentable de alimentos en Uruguay y el mundo. En este sentido el Instituto Nacional de Investigación Agropecuaria La Estanzuela lleva a cabo desde el año 1963 el experimento de largo plazo (ELP) de rotaciones agrícolas, que ofrece comprobada variabilidad espacial de erosión entre y dentro de unidades. En general, en estos experimentos el estudio de la erosión hídrica fue abordado prácticamente sólo por medio de la modelación. Con el presente estudio se propone mejorar las estimaciones de la erosión del suelo utilizando el método del radionucleido 137Cs. |
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Palabras claves : |
137Cs; ÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA; Deposición; Experimento de largo plazo (ELP); ROTACIONES AGRÍCOLAS. |
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Thesagro : |
DEGRADACION DEL SUELO; EROSIÓN; ROTACIONES; SUELO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17555/1/Poster-Jornada-GEOCIENCIAS-PEDECIBA-2022.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/17556/1/Resumen-Jornada-GEOCIENCIAS-PEDECIBA-2022.pdf
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Marc : |
LEADER 01662nam a2200301 a 4500
001 1064539
005 2024-04-09
008 2022 bl uuuu u00u1 u #d
100 1 $aGONZÁLEZ, J.M.
245 $aDeterminación de tasas de erosión por técnicas nucleares en el experimento agrícola de largo plazo más antiguo de Latinoamérica. Resultados preliminares. [Poster + Resumen].$h[electronic resource]
260 $aIn: XII Jornada de Geociencias, Pedeciba, MEC-Udelar. Libro de Resúmenes 2022.$c2022
520 $aLa erosión del suelo es una de las mayores amenazas para la producción sustentable de alimentos en Uruguay y el mundo. En este sentido el Instituto Nacional de Investigación Agropecuaria La Estanzuela lleva a cabo desde el año 1963 el experimento de largo plazo (ELP) de rotaciones agrícolas, que ofrece comprobada variabilidad espacial de erosión entre y dentro de unidades. En general, en estos experimentos el estudio de la erosión hídrica fue abordado prácticamente sólo por medio de la modelación. Con el presente estudio se propone mejorar las estimaciones de la erosión del suelo utilizando el método del radionucleido 137Cs.
650 $aDEGRADACION DEL SUELO
650 $aEROSIÓN
650 $aROTACIONES
650 $aSUELO
653 $a137Cs
653 $aÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA
653 $aDeposición
653 $aExperimento de largo plazo (ELP)
653 $aROTACIONES AGRÍCOLAS
700 1 $aTASSANO, M.
700 1 $aQUINCKE, A.
700 1 $aPÉREZ-BIDEGAIN, M.
700 1 $aGRAHMANN, K.
700 1 $aCIGANDA, V.
700 1 $aGOSO, C.
700 1 $aCABRERA, M
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