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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
08/06/2022 |
Actualizado : |
08/06/2022 |
Autor : |
VANCUTSEM, C.; PEKEL, J.-F.; KAYITAKIRE F.; DUVEILLER, G.; MERONI, M.; BAETHGEN, W.; CECCATO, P. |
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. |
Título : |
Mapping winter and summer crops in Uruguay using MODIS time series. [Conference paper]. |
Complemento del título : |
2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013. August 12-16 2013. Code 101027 |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2013, pp. 292-295, doi: http://doi.rog/10.1109/Argo-Geoinformatics.2013.6621924 |
ISBN : |
978-147990868-4 |
DOI : |
10.1109/Argo-Geoinformatics.2013.6621924 |
Idioma : |
Inglés |
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 |
Palabras claves : |
Agricultural monitoring; Cropland mapping; Land use; Mean compositing; MODIS time series; Phenology; Spatial and temporal resolutions; Uruguay. |
Asunto categoría : |
A50 Investigación agraria |
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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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
25/11/2015 |
Actualizado : |
27/02/2018 |
Tipo de producción científica : |
Serie FPTA |
Autor : |
TRUJILLO, A.I. (Dir.). |
Afiliación : |
ANA INÉS TRUJILLO LEZAMA, Facultad de Agronomía, UDELAR, UY. |
Título : |
Eficiencia alimenticia en bovinos de carne en pastoreo. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Montevideo, UY: INIA, 2015. |
Páginas : |
45 p. |
Serie : |
(Serie FPTA-INIA; 59). |
ISSN : |
1688-924X |
Idioma : |
Español |
Notas : |
Proyecto FPTA 263: "Evaluación del consumo residual de alimento como una medida de eficiencia alimenticia en bovinos de carne en pastoreo". Período de ejecución: Enero 2009-Agosto 2012.
Unidad Ejecutora: Facultad de Agronomía. Responsable técnico del proyecto: Ana Inés Trujillo Lezama. Equipo técnico de trabajo: Mariana Carriquiry, Facultad de Agronomía, UDELAR, UY; Alberto Casal, Facultad de Agronomía, UDELAR, UY; Pablo Chilibroste, Facultad de Agronomía, UDELAR, UY; Ana Carolina Espasandín, Facultad de Agronomía, UDELAR, UY; María Pía, Grignola, Facultad de Agronomía, UDELAR, UY; Francisco Peñagaricano, Facultad de Agronomía, UDELAR, UY; Jorge Urioste, Facultad de Agronomía, UDELAR, UY; Ana Meikle, Facultad de Veterinaria, UDELAR, UY; Paula Nicolini, Facultad de Veterinaria, UDELAR, UY. |
Palabras claves : |
CONSUMO NETO DE ALIMENTO; CONSUMO RESIDUAL DE ALIMENTO; CRA; RFI. |
Thesagro : |
ALIMENTACIÓN DE LOS ANIMALES; BOVINOS DE CARNE; PASTOREO. |
Asunto categoría : |
L51 Fisiología Animal - Nutrición |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5291/1/fpta-59-2015.pdf
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Marc : |
LEADER 01443nam a2200229 a 4500 001 1053989 005 2018-02-27 008 2015 bl uuuu u00u1 u #d 022 $a1688-924X 100 1 $aTRUJILLO, A.I. 245 $aEficiencia alimenticia en bovinos de carne en pastoreo.$h[electronic resource] 260 $aMontevideo, UY: INIA$c2015 300 $a45 p. 490 $a(Serie FPTA-INIA; 59). 500 $aProyecto FPTA 263: "Evaluación del consumo residual de alimento como una medida de eficiencia alimenticia en bovinos de carne en pastoreo". Período de ejecución: Enero 2009-Agosto 2012. Unidad Ejecutora: Facultad de Agronomía. Responsable técnico del proyecto: Ana Inés Trujillo Lezama. Equipo técnico de trabajo: Mariana Carriquiry, Facultad de Agronomía, UDELAR, UY; Alberto Casal, Facultad de Agronomía, UDELAR, UY; Pablo Chilibroste, Facultad de Agronomía, UDELAR, UY; Ana Carolina Espasandín, Facultad de Agronomía, UDELAR, UY; María Pía, Grignola, Facultad de Agronomía, UDELAR, UY; Francisco Peñagaricano, Facultad de Agronomía, UDELAR, UY; Jorge Urioste, Facultad de Agronomía, UDELAR, UY; Ana Meikle, Facultad de Veterinaria, UDELAR, UY; Paula Nicolini, Facultad de Veterinaria, UDELAR, UY. 650 $aALIMENTACIÓN DE LOS ANIMALES 650 $aBOVINOS DE CARNE 650 $aPASTOREO 653 $aCONSUMO NETO DE ALIMENTO 653 $aCONSUMO RESIDUAL DE ALIMENTO 653 $aCRA 653 $aRFI
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