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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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INIA Las Brujas (LB) |
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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 actual : |
30/01/2024 |
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Actualizado : |
30/01/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
ALDABE, J.; MORÁN-LÓPEZ, T.; SOCA, P.; BLUMETTO, O.; MORALES, J.M. |
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Afiliación : |
JOAQUÍN ALDABE, Departamento de Sistemas Agrarios y Paisajes Culturales, Centro Universitario Regional del Este, Universidad de la República, Rocha, Uruguay; Southern Cone Grassland Alliance, Aves Uruguay-BirdLife International, Montevideo, Uruguay; TERESA MORÁN-LÓPEZ, Dpto. Biología de Organismos y Sistemas, Univ. Oviedo & Intst. Mixto de Inv. en Biodiversidad (Univ. de Oviedo-CSIC-Principado de Asturias), Oviedo & Mieres, Spain: Grupo Ecología Cuantitativa, INIBIOMA-CONICET, Univ. Nac. Comahue, Bs.As., Argentina; PABLO SOCA, Ecología del Pastoreo Group, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL MORALES, Grupo de Ecología Cuantitativa, INIBIOMA-CONICET, Universidad Nacional del Comahue, Bariloche, Argentina; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom. |
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Título : |
Bird species responses to rangeland management in relation to their traits: Rio de la Plata Grasslands as a case study. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Ecological Applications, 2023, ee2933. https://doi.org/10.1002/eap.2933 |
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ISSN : |
1051-0761 |
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DOI : |
10.1002/eap.2933 |
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Idioma : |
Inglés |
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Notas : |
Article history: Manuscript received: 25 April 2023; Manuscript revised: 31 August 2023; Manuscript accepted: 04 October 2023; Accepted manuscript online: 20 November 2023; Version of Record online: 20 December 2023. -- Correspondence: Aldabe, J.; Departamento de Sistemas Agrarios y Paisajes Culturales, Centro Universitario Regional del Este, Universidad de la República, Rocha, Uruguay; email:joaquin.aldabe@gmail.com -- Funding: This paper was developed in the context of J. Aldabe PhD at Ciencias Agrarias Postgraduate Program, Agronomy Faculty, Universidad de la República. TML was supported by a Juan de la Cierva Incorporación Fellowship (IJC2020-043765-I) funded by the Spanish Ministery of Science. Funding: International Programs, United States Forest Service and the Neotropical Migratory Bird Conservation Act, United States Fish and Wildlife Service and Fontagro Project. -- Research funding: Fontagro Program, Instituto Nacional de Investigaciones Agropecuarias, International Programs US Forest Service, U.S. Fish and Wildlife Service. -- |
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Contenido : |
ABSTRACT.- Areas used for livestock production and dominated by native grasses represent a unique opportunity to reconcile biodiversity conservation and livestock production. However, limited knowledge of individual species' responses to rangeland management restricts our capacity to design grazing practices that favor endangered species and other priority birds. In this work, we applied Hierarchical Modelling of Species Communities (HMSC) to study individual species responses, as well as the influence of traits on such responses, to variables related to rangeland management using birds of the Rio de la Plata Grasslands as a case study. Based on presence-absence data collected in 454 paddocks across 46 ranches we inferred the response of 69 species considering imperfect detection. This degree of detail fills a major gap in rangeland management, as species-level responses can be used to achieve targeted conservation goals other than maximizing richness or abundance. We found that artificial pastures had an overall negative impact on many bird species, whereas the presence of tussocks had a positive effect, including all threatened species. Grassland specialists were in general sensitive to grass height and tended to respond positively to tussocks but negatively to tree cover. Controlling grass height via adjustments in stocking rate can be a useful tool to favor grassland specialists. To favor a wide range of bird species in ranches, a mosaic of short and tall native grasslands with patches of tussocks and trees is desirable. We also found that species-specific responses were modulated by their traits: small-sized birds responded positively to tussocks and tree cover while large species responded negatively to increasing grass height. Ground foragers preferred short grass while birds that scarcely use this stratum were not affected by grass height. Results on the influence of traits on bird responses are an important novelty in relation to previous work in rangelands and potentially increase our predicting capacity and model transferability across grassland regions. © 2023 The Ecological Society of America. MenosABSTRACT.- Areas used for livestock production and dominated by native grasses represent a unique opportunity to reconcile biodiversity conservation and livestock production. However, limited knowledge of individual species' responses to rangeland management restricts our capacity to design grazing practices that favor endangered species and other priority birds. In this work, we applied Hierarchical Modelling of Species Communities (HMSC) to study individual species responses, as well as the influence of traits on such responses, to variables related to rangeland management using birds of the Rio de la Plata Grasslands as a case study. Based on presence-absence data collected in 454 paddocks across 46 ranches we inferred the response of 69 species considering imperfect detection. This degree of detail fills a major gap in rangeland management, as species-level responses can be used to achieve targeted conservation goals other than maximizing richness or abundance. We found that artificial pastures had an overall negative impact on many bird species, whereas the presence of tussocks had a positive effect, including all threatened species. Grassland specialists were in general sensitive to grass height and tended to respond positively to tussocks but negatively to tree cover. Controlling grass height via adjustments in stocking rate can be a useful tool to favor grassland specialists. To favor a wide range of bird species in ranches, a mosaic of short and tall native grasslan... Presentar Todo |
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Palabras claves : |
ÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA; Body size; Conservation; Foraging behavior; Imperfect detection; Multispecies occupancy models; Native grasses; Target species. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 04142naa a2200301 a 4500
001 1064446
005 2024-01-30
008 2023 bl uuuu u00u1 u #d
022 $a1051-0761
024 7 $a10.1002/eap.2933$2DOI
100 1 $aALDABE, J.
245 $aBird species responses to rangeland management in relation to their traits$bRio de la Plata Grasslands as a case study.$h[electronic resource]
260 $c2023
500 $aArticle history: Manuscript received: 25 April 2023; Manuscript revised: 31 August 2023; Manuscript accepted: 04 October 2023; Accepted manuscript online: 20 November 2023; Version of Record online: 20 December 2023. -- Correspondence: Aldabe, J.; Departamento de Sistemas Agrarios y Paisajes Culturales, Centro Universitario Regional del Este, Universidad de la República, Rocha, Uruguay; email:joaquin.aldabe@gmail.com -- Funding: This paper was developed in the context of J. Aldabe PhD at Ciencias Agrarias Postgraduate Program, Agronomy Faculty, Universidad de la República. TML was supported by a Juan de la Cierva Incorporación Fellowship (IJC2020-043765-I) funded by the Spanish Ministery of Science. Funding: International Programs, United States Forest Service and the Neotropical Migratory Bird Conservation Act, United States Fish and Wildlife Service and Fontagro Project. -- Research funding: Fontagro Program, Instituto Nacional de Investigaciones Agropecuarias, International Programs US Forest Service, U.S. Fish and Wildlife Service. --
520 $aABSTRACT.- Areas used for livestock production and dominated by native grasses represent a unique opportunity to reconcile biodiversity conservation and livestock production. However, limited knowledge of individual species' responses to rangeland management restricts our capacity to design grazing practices that favor endangered species and other priority birds. In this work, we applied Hierarchical Modelling of Species Communities (HMSC) to study individual species responses, as well as the influence of traits on such responses, to variables related to rangeland management using birds of the Rio de la Plata Grasslands as a case study. Based on presence-absence data collected in 454 paddocks across 46 ranches we inferred the response of 69 species considering imperfect detection. This degree of detail fills a major gap in rangeland management, as species-level responses can be used to achieve targeted conservation goals other than maximizing richness or abundance. We found that artificial pastures had an overall negative impact on many bird species, whereas the presence of tussocks had a positive effect, including all threatened species. Grassland specialists were in general sensitive to grass height and tended to respond positively to tussocks but negatively to tree cover. Controlling grass height via adjustments in stocking rate can be a useful tool to favor grassland specialists. To favor a wide range of bird species in ranches, a mosaic of short and tall native grasslands with patches of tussocks and trees is desirable. We also found that species-specific responses were modulated by their traits: small-sized birds responded positively to tussocks and tree cover while large species responded negatively to increasing grass height. Ground foragers preferred short grass while birds that scarcely use this stratum were not affected by grass height. Results on the influence of traits on bird responses are an important novelty in relation to previous work in rangelands and potentially increase our predicting capacity and model transferability across grassland regions. © 2023 The Ecological Society of America.
653 $aÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA
653 $aBody size
653 $aConservation
653 $aForaging behavior
653 $aImperfect detection
653 $aMultispecies occupancy models
653 $aNative grasses
653 $aTarget species
700 1 $aMORÁN-LÓPEZ, T.
700 1 $aSOCA, P.
700 1 $aBLUMETTO, O.
700 1 $aMORALES, J.M.
773 $tEcological Applications, 2023, ee2933. https://doi.org/10.1002/eap.2933
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