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Registros recuperados: 56
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Mapeamento da variabilidade espacial das plantas daninhas. Infoteca-e
SHIRATSUCHI, L. S.; CHRISTOFFOLETI, P. J.; FONTES, J. R. A..
Traditionally the weed management has been done considering the overall weed infestation in the whole field and then herbicides are sprayed according to a single weed control recommendation for the field. But weeds are not uniformly distributed and normally have clumped populations showing weed patches presenting high spatial variability. This nature of the weed populations can be mapped, and so it can help the decisions with weed management on agricultural systems. However, localization and mapping of the weed clusters are very difficult tasks in large areas, and require adequate methodology. Therefore, determination method of this weed spatial variability must be scientifically studied. This document aim to provide information about the concepts, tools...
Tipo: Documentos (INFOTECA-E) Palavras-chave: Planta daninha; Distribuição espacial; GPS; Natural distribution; Precision farming.; Agricultura de Precisão; Mapa; Sistema de Informação Geográfica.; Cartography; Geographic information systems; Weeds..
Ano: 2003 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/568531
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Iridium GPS 2 data from the EMSO-Azores observatory, 2011-2012 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between Jannuary 2011 and december 2011 using the Iridium/GPS modem 2 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41457
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Evidence for a differential sea level rise between hemispheres over the twentieth century ArchiMer
Woeppelmann, Guy; Marcos, Marta; Santamaria-gomez, Alvaro; Martin-miguez, Belen; Bouin, Marie-noelle; Gravelle, Mederic.
Tide gauge records are the primary source of sea level information over multidecadal to century timescales. A critical issue in using this type of data to determine global climate-related contributions to sea level change concerns the vertical motion of the land upon which the gauges are grounded. Here we use observations from the Global Positioning System for the correction of this vertical land motion. As a result, the spatial coherence in the rates of sea level change during the twentieth century is highlighted at the local and the regional scales, ultimately revealing a clearly distinct behavior between the Northern and the Southern Hemispheres with values of 2.0mm/yr and 1.1mm/yr, respectively. Our findings challenge the widely accepted value of...
Tipo: Text Palavras-chave: Sea level; Climate change; Land motion; Geodesy; Tide gauge; GPS.
Ano: 2014 URL: https://archimer.ifremer.fr/doc/00489/60025/63282.pdf
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Iridium GPS 2 data from the EMSO-Azores observatory, 2010-2011 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between October 2010 and december 2010 using the Iridium/GPS modem 2 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41839
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Iridium GPS 2 data from the EMSO-Azores observatory, 2013-2014 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between September 2013 and February 2014 (n=332) using the Iridium/GPS modem 2 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/39765
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Iridium GPS 1 data from the EMSO-Azores observatory, 2011-2012 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between Jannuary 2011 and december 2011 using the Iridium/GPS modem 1 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41456
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Foraging behavior and at-sea distribution of White-Tailed Tropicbirds in tropical ocean ArchiMer
Campos, L. F. A. S.; Andrade, A. B.; Bertrand, Sophie; Efe, M. A..
We used miniaturized GPS loggers and site observations to access foraging patterns and nest behaviour of the White-tailed Tropicbird Phaethon lepturus (WTTB), an endangered species at its South Atlantic breeding colony. Dual foraging pattern was observed with alternation between long and short foraging trips. Birds responsible for nest attendance engaged in short foraging trips with mean distance from colony of 25 +/- 17 km, total distance covered of 79 +/- 65 km and mean duration of 4.02 +/- 5.28 hours. Birds flew by dawn and returned before dusk while partners were at sea for long foraging trips that ranged from four to 11 days, with mean maximum distance from colony of 105 +/- 47.48 km. Chicks were usually left alone for hours and chick predation by...
Tipo: Text Palavras-chave: Tropicbird; GPS; Dual foraging; Behavior.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00626/73778/74931.pdf
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Foraging strategy of a tropical seabird, the red-footed booby, in a dynamic marine environment ArchiMer
Weimerskirch, Henri; Le Corre, Matthieu; Jaquemet, Sébastien; Marsac, Francis.
The foraging behaviour of animals depends on the distribution, abundance and predictability of their food resources. In the marine environment, top predators such as seabirds are known to concentrate their foraging effort in specific oceanic features where productivity is elevated or prey concentrated. When marine productivity is low and prey distribution unpredictable, such as in tropical waters, selection should favour the evolution of flexible foraging strategies. By using GPS, Argos transmitters and activity recorders, we studied the foraging strategy of red-footed boobies (RFBs) Sula sula breeding on Europa Island in the Mozambique Channel, to examine the way a central place forager searches for prey in tropical waters. RFBs only foraged during the...
Tipo: Text Palavras-chave: Sula sula; GPS; Satellite tracking; Mozambique Channel; Chlorophyll concentration; Sea-level height anomalies.
Ano: 2005 URL: https://archimer.ifremer.fr/doc/00209/32068/30526.pdf
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Iridium GPS 1 data from the EMSO-Azores observatory, 2012-2013 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between Jannuary 2012 and december 2013 using the Iridium/GPS modem 1 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41342
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Iridium GPS 2 data from the EMSO-Azores observatory, 2014-2015 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between July 2014 and April 2015 using the Iridium/GPS modem 2 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41308
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From forager tracks to prey distributions: an application to tuna vessel monitoring systems (VMS) ArchiMer
Walker, Emily; Rivoirard, Jacques; Gaspar, Philippe; Bez, Nicolas.
In the open ocean, movements of migratory fish populations are typically surveyed using tagging methods that are subject to low sample sizes for archive tags, except for a few notable examples, and poor temporal resolution for conventional tags. Alternatively, one can infer patterns of movement of migratory fish by tracking movements of their predators, i.e., fishing vessels, whose navigational systems (e.g., GPS) provide accurate and frequent VMS (vessel monitoring system) records of movement in pursuit of prey. In this paper, we develop a state-space model that infers the foraging activities of fishing vessels from their tracks. Second, we link foraging activities to probabilities of tuna presence. Finally, using multivariate geostatistical interpolation...
Tipo: Text Palavras-chave: GPS; Multivariate geostatistics; Presence index; Spatiotemporal distribution; Trajectometry; Tropical tuna; Vessel monitoring system (VMS).
Ano: 2015 URL: https://archimer.ifremer.fr/doc/00610/72249/71048.pdf
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Iridium GPS 1 data from the EMSO-Azores observatory, 2014-2015 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between July 2014 and April 2015 using the Iridium/GPS modem 1 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41307
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Meteorological data from the EMSO-Azores seafloor observatory, 2011-2012 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired between Jannuary 2011 and December 2011 (n=332) using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41458
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Iridium GPS 1 data from the EMSO-Azores observatory, 2013-2014 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between September 2013 and February 2014 (n=332) using the Iridium/GPS modem 1 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/39766
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Imprime registro no formato completo
Iridium GPS 1 data from the EMSO-Azores observatory, 2010-2011 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between October 2010 and december 2010 using the Iridium/GPS modem 1 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41838
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Imprime registro no formato completo
Meteorological data from the EMSO-Azores seafloor observatory, 2012-2013 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired between Jannuary 2012 and December 2013 (n=332) using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41344
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Imprime registro no formato completo
Meteorological data from the EMSO-Azores seafloor observatory, 2010-2011 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the meteorological parameters (mean wind speed, temperature in °C and atmospheric pressure in mbar) acquired between October 2010 and December 2010 (n=332) using the Furuno Rowind+, mounted at the top of BOREL superstructure (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41840
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Imprime registro no formato completo
Iridium GPS 2 data from the EMSO-Azores observatory, 2012-2013 ArchiMer
Legrand, Julien; Sarradin, Pierre-marie; Cannat, Mathilde.
This dataset contains the GPS positions of the EMSO-Azores transmission buoy BOREL acquired between Jannuary 2012 and december 2013 using the Iridium/GPS modem 2 (data acquired every 6 hours).
Tipo: Dataset Palavras-chave: Mid-Atlantic Ridge; EMSO; Lucky Strike; Time-series; Environmental monitoring node; MoMAR; BOREL; GPS; Position.
Ano: 2015 URL: http://dx.doi.org/10.17882/41343
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"M2B" package in R: Deriving multiple variables from movement data to predict behavioural states with random forests ArchiMer
Thiebault, Andrea; Dubroca, Laurent; Mullers, Ralf H. E.; Tremblay, Yann; Pistorius, Pierre A..
1. The behaviour of individuals affect their distributions and is therefore fundamental in determining ecological patterns. While, the direct observation of behaviour is often limited due to logistical constraints, collection of movement data has been greatly facilitated through the development of bio-logging. Movement data obtained through tracking instrumentation may potentially constitute a relevant proxy to infer behaviour. 2. To infer behaviour from movement data is a key focus within the "movement ecology" discipline. Statistical learning constitutes a number of methods that can be used to assess the link between given variables from a fully informed training dataset and then predict the values on a non-informed variable. We chose the random forest...
Tipo: Text Palavras-chave: Cape gannet; Fisheries; GPS; Local enhancement; Machine learning; Onboard observers; Social interactions; Video cameras.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00445/55683/57354.pdf
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Cartographie des fonds de la Seudre ArchiMer
Massard, Emilie; Geairon, Philippe.
Ce poster présente la bathymétrie du fond de Seudre. Les mesures s'effectuent par couplage d'un sondeur hydrographique à un GPS différentiel à bord d'une embarcation, permettant ainsi l'acquisition et la spatialisation de données en temps réel. Le traitement géostatique a ensuite lieu à partir d'un logiciel spécialisé pour obtenir une cartographie de la cote altimétrique du fond.
Tipo: Text Palavras-chave: Marennes Oléron; Cartographie; GPS; Seudre; Bathymétrie.
Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/acte-4038.pdf
Registros recuperados: 56
Primeira ... 123 ... Última
 

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