Monitoring grass swards using imaging spectroscopy
The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hype...
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| Autor*in: |
Schut, A. G. T. [verfasserIn] Ketelaars, J. J. M. H. [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
Oxford, UK: Blackwell Science Ltd ; 2003 |
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| Schlagwörter: |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
2003 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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| Übergeordnetes Werk: |
In: Grass and forage science - Oxford [u.a.] : Wiley-Blackwell, 1979, 58(2003), 3, Seite 0 |
| Übergeordnetes Werk: |
volume:58 ; year:2003 ; number:3 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1046/j.1365-2494.2003.00379.x |
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| Katalog-ID: |
NLEJ242833136 |
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| 520 | |a The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. | ||
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10.1046/j.1365-2494.2003.00379.x doi (DE-627)NLEJ242833136 DE-627 ger DE-627 rakwb Schut, A. G. T. verfasserin aut Monitoring grass swards using imaging spectroscopy Oxford, UK Blackwell Science Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| perennial ryegrass Ketelaars, J. J. M. H. verfasserin aut In Grass and forage science Oxford [u.a.] : Wiley-Blackwell, 1979 58(2003), 3, Seite 0 Online-Ressource (DE-627)NLEJ24392688X (DE-600)2016528-6 1365-2494 nnns volume:58 year:2003 number:3 pages:0 http://dx.doi.org/10.1046/j.1365-2494.2003.00379.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 58 2003 3 0 |
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10.1046/j.1365-2494.2003.00379.x doi (DE-627)NLEJ242833136 DE-627 ger DE-627 rakwb Schut, A. G. T. verfasserin aut Monitoring grass swards using imaging spectroscopy Oxford, UK Blackwell Science Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| perennial ryegrass Ketelaars, J. J. M. H. verfasserin aut In Grass and forage science Oxford [u.a.] : Wiley-Blackwell, 1979 58(2003), 3, Seite 0 Online-Ressource (DE-627)NLEJ24392688X (DE-600)2016528-6 1365-2494 nnns volume:58 year:2003 number:3 pages:0 http://dx.doi.org/10.1046/j.1365-2494.2003.00379.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 58 2003 3 0 |
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10.1046/j.1365-2494.2003.00379.x doi (DE-627)NLEJ242833136 DE-627 ger DE-627 rakwb Schut, A. G. T. verfasserin aut Monitoring grass swards using imaging spectroscopy Oxford, UK Blackwell Science Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| perennial ryegrass Ketelaars, J. J. M. H. verfasserin aut In Grass and forage science Oxford [u.a.] : Wiley-Blackwell, 1979 58(2003), 3, Seite 0 Online-Ressource (DE-627)NLEJ24392688X (DE-600)2016528-6 1365-2494 nnns volume:58 year:2003 number:3 pages:0 http://dx.doi.org/10.1046/j.1365-2494.2003.00379.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 58 2003 3 0 |
| allfieldsGer |
10.1046/j.1365-2494.2003.00379.x doi (DE-627)NLEJ242833136 DE-627 ger DE-627 rakwb Schut, A. G. T. verfasserin aut Monitoring grass swards using imaging spectroscopy Oxford, UK Blackwell Science Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| perennial ryegrass Ketelaars, J. J. M. H. verfasserin aut In Grass and forage science Oxford [u.a.] : Wiley-Blackwell, 1979 58(2003), 3, Seite 0 Online-Ressource (DE-627)NLEJ24392688X (DE-600)2016528-6 1365-2494 nnns volume:58 year:2003 number:3 pages:0 http://dx.doi.org/10.1046/j.1365-2494.2003.00379.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 58 2003 3 0 |
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10.1046/j.1365-2494.2003.00379.x doi (DE-627)NLEJ242833136 DE-627 ger DE-627 rakwb Schut, A. G. T. verfasserin aut Monitoring grass swards using imaging spectroscopy Oxford, UK Blackwell Science Ltd 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| perennial ryegrass Ketelaars, J. J. M. H. verfasserin aut In Grass and forage science Oxford [u.a.] : Wiley-Blackwell, 1979 58(2003), 3, Seite 0 Online-Ressource (DE-627)NLEJ24392688X (DE-600)2016528-6 1365-2494 nnns volume:58 year:2003 number:3 pages:0 http://dx.doi.org/10.1046/j.1365-2494.2003.00379.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 58 2003 3 0 |
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Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). 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Monitoring grass swards using imaging spectroscopy perennial ryegrass |
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Monitoring grass swards using imaging spectroscopy |
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Monitoring grass swards using imaging spectroscopy |
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Schut, A. G. T. |
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Schut, A. G. T. Ketelaars, J. J. M. H. |
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Schut, A. G. T. |
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10.1046/j.1365-2494.2003.00379.x |
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monitoring grass swards using imaging spectroscopy |
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Monitoring grass swards using imaging spectroscopy |
| abstract |
The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. |
| abstractGer |
The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. |
| abstract_unstemmed |
The potential of an imaging spectroscopy system with high spatial (0·16–1·45 mm2) and spectral resolution (5–13 nm) was explored for monitoring light interception and biomass of grass swards. Thirty-six Lolium perenne L. mini-swards were studied for a total of eleven consecutive growth periods. Hyperspectral images and light interception (LI) were recorded twice weekly. On two dates ground cover was scored visually (GCv). At harvest, leaf area index (LAI), fresh-matter yield and dry-matter yield (DMY) were determined. Classification of images yielded several estimates of the image ground cover (GCi) and the index of reflection intensity (IRI). The GCi was highly correlated with GCv (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu1" location="equation/GFS_379_mu1.gif"/> = 0·94), LAI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu2" location="equation/GFS_379_mu2.gif"/> = 0·88) and LI (<inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu3" location="equation/GFS_379_mu3.gif"/> = 0·95, for dense swards under cloudy skies). However, the relationship between GCi and LI depended on sky conditions and sward structure. Under cloudy skies, LI was linearly related to GCi, whereas under clear skies, this relation was logistic. Regression analysis of GCi and yields showed correlations with <inlineGraphic alt="inline image" href="urn:x-wiley:01425242:GFS379:GFS_379_mu4" location="equation/GFS_379_mu4.gif"/> of between 0·75 and 0·82. The mean error of DMY estimates was 340 kg. In conclusion, estimates of GCi and IRI can be used to predict DMY, even for high yield levels (up to 3500 kg DM ha−1), allowing accurate, non-destructive monitoring of biomass and light interception of grass swards. |
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