Mapping Ridolfia segetum patches in sunflower crop using remote sensing

Mapping Ridolfia segetum patches in sunflower crop using remote sensing

9 pages; 1 figure; 2 tables

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Bibliographic Details
Main Authors: Peña Barragán, José Manuel, López Granados, Francisca, Jurado-Expósito, Montserrat, García Torres, Luis
Format: artículo biblioteca
Language:English
Published: Wiley-Blackwell 2007-04
Subjects:Remote sensing, Multispectral, Site-specific, Weed management, Vegetation indices, Spectral angle, Mapper, Weed mapping,
Online Access:http://hdl.handle.net/10261/27187
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spelling dig-ias-es-10261-271872021-05-11T01:24:42Z Mapping Ridolfia segetum patches in sunflower crop using remote sensing Peña Barragán, José Manuel López Granados, Francisca Jurado-Expósito, Montserrat García Torres, Luis Remote sensing Multispectral Site-specific Weed management Vegetation indices Spectral angle Mapper Weed mapping 9 pages; 1 figure; 2 tables Ridolfia segetum is a frequent umbelliferous weed in sunflower crops in the Mediterranean basin. Field and remote sensing research was conducted in 2003 and 2004 over two naturally infested fields to determine the potential of multispectral imagery for discrimination and mapping of R. segetum patches in sunflower crops. The efficiency of the four wavebands blue (B), green (G), red (R) and near-infrared (NIR), selected vegetation indices and the spectral angle mapper (SAM) classification method were studied using aerial photographs taken in the late vegetative (mid-May), flowering (mid- June) and senescence (mid-July) crop growth stages. Discrimination efficiency of R. segetum patches in sunflower crops is consistently affected by their phenological stages, in this order: flowering > senescence > vegetative. In both fields, R. segetum patches were efficiently discriminated in mid-June, corresponding to the flowering phase, by using the waveband G, the ratio R/B or SAM with overall accuracies ranging from 85% to 98%. The application of the median-filtering algorithm to any of the classified images improved the accuracy. Our results suggest that mapping R. segetum weed patches in sunflower to implement site-specific weed management techniques is feasible with aerial photography when images are taken from 8 to 10 weeks before harvesting. Spanish Ministry of Education and Science through the projects AGR2004-01034 and AGL2002-04468-CO3-02 Peer reviewed 2010-08-19T10:37:58Z 2010-08-19T10:37:58Z 2007-04 artículo http://purl.org/coar/resource_type/c_6501 Weed Research 47, 164–172 (2007) 1365-3180 http://hdl.handle.net/10261/27187 10.1111/j.1365-3180.2007.00553.x en http://dx.doi.org/10.1111/j.1365-3180.2007.00553.x open 157338 bytes application/pdf Wiley-Blackwell
institution IAS ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ias-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IAS España
language English
topic Remote sensing
Multispectral
Site-specific
Weed management
Vegetation indices
Spectral angle
Mapper
Weed mapping
Remote sensing
Multispectral
Site-specific
Weed management
Vegetation indices
Spectral angle
Mapper
Weed mapping
spellingShingle Remote sensing
Multispectral
Site-specific
Weed management
Vegetation indices
Spectral angle
Mapper
Weed mapping
Remote sensing
Multispectral
Site-specific
Weed management
Vegetation indices
Spectral angle
Mapper
Weed mapping
Peña Barragán, José Manuel
López Granados, Francisca
Jurado-Expósito, Montserrat
García Torres, Luis
Mapping Ridolfia segetum patches in sunflower crop using remote sensing
description 9 pages; 1 figure; 2 tables
format artículo
topic_facet Remote sensing
Multispectral
Site-specific
Weed management
Vegetation indices
Spectral angle
Mapper
Weed mapping
author Peña Barragán, José Manuel
López Granados, Francisca
Jurado-Expósito, Montserrat
García Torres, Luis
author_facet Peña Barragán, José Manuel
López Granados, Francisca
Jurado-Expósito, Montserrat
García Torres, Luis
author_sort Peña Barragán, José Manuel
title Mapping Ridolfia segetum patches in sunflower crop using remote sensing
title_short Mapping Ridolfia segetum patches in sunflower crop using remote sensing
title_full Mapping Ridolfia segetum patches in sunflower crop using remote sensing
title_fullStr Mapping Ridolfia segetum patches in sunflower crop using remote sensing
title_full_unstemmed Mapping Ridolfia segetum patches in sunflower crop using remote sensing
title_sort mapping ridolfia segetum patches in sunflower crop using remote sensing
publisher Wiley-Blackwell
publishDate 2007-04
url http://hdl.handle.net/10261/27187
work_keys_str_mv AT penabarraganjosemanuel mappingridolfiasegetumpatchesinsunflowercropusingremotesensing
AT lopezgranadosfrancisca mappingridolfiasegetumpatchesinsunflowercropusingremotesensing
AT juradoexpositomontserrat mappingridolfiasegetumpatchesinsunflowercropusingremotesensing
AT garciatorresluis mappingridolfiasegetumpatchesinsunflowercropusingremotesensing
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