Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops
19 páginas, figuras y tablas estadísticas.
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | artículo biblioteca |
| Language: | English |
| Published: |
Taylor & Francis
2011
|
| Subjects: | Avena sterilis, Lolium rigidum, Spectral Angle Mapper SAM, Far Short-wave Infrared, Early Short-Wave Infrared, Blue and the red Edge, |
| Online Access: | http://hdl.handle.net/10261/37405 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
dig-ica-es-10261-37405 |
|---|---|
| record_format |
koha |
| spelling |
dig-ica-es-10261-374052019-02-28T12:48:05Z Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops Martín, M. P. Barreto, L. Riaño, David Fernández-Quintanilla, César Vaughan, P. Avena sterilis Lolium rigidum Spectral Angle Mapper SAM Far Short-wave Infrared Early Short-Wave Infrared Blue and the red Edge 19 páginas, figuras y tablas estadísticas. This article explores the potential use of remote sensing to discriminate two grassweeds (Avena sterilis and Lolium rigidum) from four cultivars (cvs) of winter wheat and barley. Hyperspectral measurements, using a GER2600 spectroradiometer (350 to 2500 nm), were conducted throughout the life cycle of the plants in order to analyse spectral differences between weeds and crops at different phenological stages. Specific techniques for hyperspectral data, such as the Spectral Angle Mapper (SAM) were used to quantify the spectral separability between weeds and crops, while stepwise discriminant analysis was applied to detect those wavelengths providing the best discrimination ability. SAM results showed that spectral differences were generally insufficient to discriminate weeds and crops. Only during the first phenological stages were angular distances large enough to achieve a good classification of the different species. This behaviour was related to the different fraction cover of crops and weeds in this period. The wavebands that provide the best discrimination ability according to the discriminant analysis were pooled in eight spectral regions in order to determine their frequency of occurrence. The four most frequently selected spectral regions were the Far Short-Wave Infrared, Early Short-Wave Infrared, Blue and the Red Edge. Spatial Biology of cereal weed; detection and control approaches using local herbicide applications’ AGL20020-4468-C030-3, which was financed by the Spanish Ministry of Education and Science. Peer reviewed 2011-07-01T07:26:16Z 2011-07-01T07:26:16Z 2011 artículo http://purl.org/coar/resource_type/c_6501 International Journal of Remote Sensing 32 (1): 49-67 (2011) 1366-5901 http://hdl.handle.net/10261/37405 10.1080/01431160903439874 en http://dx.doi.org/10.1080/01431160903439874 none Taylor & Francis |
| institution |
ICA ES |
| collection |
DSpace |
| country |
España |
| countrycode |
ES |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-ica-es |
| tag |
biblioteca |
| region |
Europa del Sur |
| libraryname |
Biblioteca del ICA España |
| language |
English |
| topic |
Avena sterilis Lolium rigidum Spectral Angle Mapper SAM Far Short-wave Infrared Early Short-Wave Infrared Blue and the red Edge Avena sterilis Lolium rigidum Spectral Angle Mapper SAM Far Short-wave Infrared Early Short-Wave Infrared Blue and the red Edge |
| spellingShingle |
Avena sterilis Lolium rigidum Spectral Angle Mapper SAM Far Short-wave Infrared Early Short-Wave Infrared Blue and the red Edge Avena sterilis Lolium rigidum Spectral Angle Mapper SAM Far Short-wave Infrared Early Short-Wave Infrared Blue and the red Edge Martín, M. P. Barreto, L. Riaño, David Fernández-Quintanilla, César Vaughan, P. Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| description |
19 páginas, figuras y tablas estadísticas. |
| format |
artículo |
| topic_facet |
Avena sterilis Lolium rigidum Spectral Angle Mapper SAM Far Short-wave Infrared Early Short-Wave Infrared Blue and the red Edge |
| author |
Martín, M. P. Barreto, L. Riaño, David Fernández-Quintanilla, César Vaughan, P. |
| author_facet |
Martín, M. P. Barreto, L. Riaño, David Fernández-Quintanilla, César Vaughan, P. |
| author_sort |
Martín, M. P. |
| title |
Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| title_short |
Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| title_full |
Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| title_fullStr |
Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| title_full_unstemmed |
Assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| title_sort |
assessing the potential of hyperspectral remote sensing for the discrimination of grassweeds in winter cereal crops |
| publisher |
Taylor & Francis |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10261/37405 |
| work_keys_str_mv |
AT martinmp assessingthepotentialofhyperspectralremotesensingforthediscriminationofgrassweedsinwintercerealcrops AT barretol assessingthepotentialofhyperspectralremotesensingforthediscriminationofgrassweedsinwintercerealcrops AT rianodavid assessingthepotentialofhyperspectralremotesensingforthediscriminationofgrassweedsinwintercerealcrops AT fernandezquintanillacesar assessingthepotentialofhyperspectralremotesensingforthediscriminationofgrassweedsinwintercerealcrops AT vaughanp assessingthepotentialofhyperspectralremotesensingforthediscriminationofgrassweedsinwintercerealcrops |
| _version_ |
1777663594535583744 |