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Registro completo
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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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| Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
12/09/2014 |
Actualizado : |
23/02/2015 |
Autor : |
OLMOS, F.; SOCA, P.; SOSA, M.; DO CARMO, M.; CAL, V.; BENTANCUR, D.; GENRO, C.; GARCÍA, E. |
Afiliación : |
FERNANDO ELCEAR OLMOS LOPEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN DO CARMO CORUJO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Respuesta al manejo de factores ecológicos en Coelorachis selloana (HACK) en la región Noreste de Uruguay |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
Revista de la Facultad de Agronomía UNLPam, 2013, v. 22, Serie supl.2, p. 123-128 |
Volumen : |
22 |
Páginas : |
123-128 |
Idioma : |
Español |
Contenido : |
Se presentan los resultados de 5 experimentos con Coelorachis selloana, una especie
nativa de la región noreste de Uruguay; se estudiaron factores ecológicos en condiciones
de campo y en el invernáculo. La especie se encontró principalmente en los suelos arcillosos
y respondió linealmente a la aplicación de nitrógeno hasta 100 unidades; el estrés
hídrico afectó significativa y negativamente su producción total de materia seca comparado
con un testigo con riego, la alta frecuencia e intensidad de corte (corte a 2 cm. y 2 semanas)
redujeron significativamente su productividad comparado con una situación de alivio
(corte cada 8 semanas); en condiciones de campo, una mayor oferta de forraje incrementó
significativamente su presencia durante la estación de crecimiento comparado con una
menor oferta de forraje. |
Thesagro : |
COELORACHIS; ESTRES HIDRICO; NITROGENO; URUGUAY. |
Asunto categoría : |
-- |
Marc : |
LEADER 01581naa a2200277 a 4500 001 1050188 005 2015-02-23 008 2013 bl uuuu u00u1 u #d 100 1 $aOLMOS, F. 245 $aRespuesta al manejo de factores ecológicos en Coelorachis selloana (HACK) en la región Noreste de Uruguay 260 $c2013 300 $a123-128 22 490 $v22 520 $aSe presentan los resultados de 5 experimentos con Coelorachis selloana, una especie nativa de la región noreste de Uruguay; se estudiaron factores ecológicos en condiciones de campo y en el invernáculo. La especie se encontró principalmente en los suelos arcillosos y respondió linealmente a la aplicación de nitrógeno hasta 100 unidades; el estrés hídrico afectó significativa y negativamente su producción total de materia seca comparado con un testigo con riego, la alta frecuencia e intensidad de corte (corte a 2 cm. y 2 semanas) redujeron significativamente su productividad comparado con una situación de alivio (corte cada 8 semanas); en condiciones de campo, una mayor oferta de forraje incrementó significativamente su presencia durante la estación de crecimiento comparado con una menor oferta de forraje. 650 $aCOELORACHIS 650 $aESTRES HIDRICO 650 $aNITROGENO 650 $aURUGUAY 700 1 $aSOCA, P. 700 1 $aSOSA, M. 700 1 $aDO CARMO, M. 700 1 $aCAL, V. 700 1 $aBENTANCUR, D. 700 1 $aGENRO, C. 700 1 $aGARCÍA, E. 773 $tRevista de la Facultad de Agronomía UNLPam, 2013$gv. 22, Serie supl.2, p. 123-128
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