Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia
This paper analyses the potential of a high-resolution airborne remote sensing system, the Digital Multi-Spectral Imagery (DMSI), for detecting canola growth variability within a field to help farmers for future incorporation of the system into sitespecific crop management approaches for agriculture...
| Main Authors: | , |
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| Format: | Journal Article |
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American Society for Photogrammetry and Remote Sensing
2005
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| Online Access: | http://eserv.asprs.org/PERS/2005journal/may/2005_may_595-602.pdf http://hdl.handle.net/20.500.11937/18587 |
| _version_ | 1848749787867774976 |
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| author | Warren, Georgina Metternicht, G. |
| author_facet | Warren, Georgina Metternicht, G. |
| author_sort | Warren, Georgina |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper analyses the potential of a high-resolution airborne remote sensing system, the Digital Multi-Spectral Imagery (DMSI), for detecting canola growth variability within a field to help farmers for future incorporation of the system into sitespecific crop management approaches for agriculture. Transect sampling within a canola field of a broad acre agricultural property in the South West of Western Australia was conducted synchronous with the capture of one-meter spatial resolution DMSI. Four individual bands (blue, green, red, and NIR) and five image transformations namely the Normalized Difference Vegetation Index (NDVI), Normalized Difference Vegetation Index ? Green (NDVI-green), Soil Adjusted Vegetation Index (SAVI), Photosynthetic Vigor Ratio (PVR) and Plant Pigment Ratio (PPR) of DMSI were investigated. Canola density was correlated with the four individual bands and five image transformations, while the LAI was correlated with the four individual bands. The NDVI-green, red and near-infrared bands of DMSI produced the best correlations with the density of canola, whereas the LAI had significant ( alpha = 0.05) negative correlations with the blue (-0.93) and red (-0.89) DMSI bands, and a significant positive correlation were found with the nearinfrared band (0.82). |
| first_indexed | 2025-11-14T07:26:30Z |
| format | Journal Article |
| id | curtin-20.500.11937-18587 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:26:30Z |
| publishDate | 2005 |
| publisher | American Society for Photogrammetry and Remote Sensing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-185872017-01-30T12:08:43Z Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia Warren, Georgina Metternicht, G. This paper analyses the potential of a high-resolution airborne remote sensing system, the Digital Multi-Spectral Imagery (DMSI), for detecting canola growth variability within a field to help farmers for future incorporation of the system into sitespecific crop management approaches for agriculture. Transect sampling within a canola field of a broad acre agricultural property in the South West of Western Australia was conducted synchronous with the capture of one-meter spatial resolution DMSI. Four individual bands (blue, green, red, and NIR) and five image transformations namely the Normalized Difference Vegetation Index (NDVI), Normalized Difference Vegetation Index ? Green (NDVI-green), Soil Adjusted Vegetation Index (SAVI), Photosynthetic Vigor Ratio (PVR) and Plant Pigment Ratio (PPR) of DMSI were investigated. Canola density was correlated with the four individual bands and five image transformations, while the LAI was correlated with the four individual bands. The NDVI-green, red and near-infrared bands of DMSI produced the best correlations with the density of canola, whereas the LAI had significant ( alpha = 0.05) negative correlations with the blue (-0.93) and red (-0.89) DMSI bands, and a significant positive correlation were found with the nearinfrared band (0.82). 2005 Journal Article http://hdl.handle.net/20.500.11937/18587 http://eserv.asprs.org/PERS/2005journal/may/2005_may_595-602.pdf American Society for Photogrammetry and Remote Sensing restricted |
| spellingShingle | Warren, Georgina Metternicht, G. Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia |
| title | Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia |
| title_full | Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia |
| title_fullStr | Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia |
| title_full_unstemmed | Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia |
| title_short | Agricultural Applications of High Resolution Digital Multispectral Imagery: Evaluating Within-field Spatial Variability of Canola (Brassica napus) in Western Australia |
| title_sort | agricultural applications of high resolution digital multispectral imagery: evaluating within-field spatial variability of canola (brassica napus) in western australia |
| url | http://eserv.asprs.org/PERS/2005journal/may/2005_may_595-602.pdf http://hdl.handle.net/20.500.11937/18587 |