Variability of seasonal CASI image data products and potential application for management zone delineation for precision agriculture
| Autor: | Jiangui Liu, Elizabeth Pattey, D. Haboudane, John R. Miller, Michel C. Nolin |
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| Rok vydání: | 2005 |
| Předmět: | |
| Zdroj: | Canadian Journal of Remote Sensing. 31:400-411 |
| ISSN: | 1712-7971 0703-8992 |
| DOI: | 10.5589/m05-023 |
| Popis: | The delineation of management zones is an important step to implementing site-specific crop management practices. Remote sensing is a cost-effective way to acquire information needed for delineating management zones, since it has been successfully used for mapping soil properties and monitoring crop growth conditions. Remotely sensed hyperspectral data are particularly effective in deriving crop biophysical parameters in agricultural fields; therefore, the potential of hyperspectral data to contribute to management zone delineation needs to be assessed. In this study, the spatial variability of soil and crops in two agricultural fields was studied using seasonal compact airborne spectrographic imager (CASI) hyperspectral images. Different spectral features including soil brightness and colouration indices, principal components of soil reflectance data, and crop descriptors (leaf area index (LAI) and leaf chlorophyll content) were derived from CASI data and used to partition the fields into homogeneous zon... |
| Databáze: | OpenAIRE |
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