Field radiometer with canopy pasture probe as a potential tool to estimate and map pasture biomass and mineral components: A case study in the Lake Taupo catchment, New Zealand
| Autor: | D. A. Costall, Ieda Del’Arco Sanches, Yoshio Inoue, M. P. Tuohy, Keith Betteridge, Kensuke Kawamura |
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| Rok vydání: | 2009 |
| Předmět: |
Canopy
Biomass (ecology) geography geography.geographical_feature_category Coefficient of determination Radiometer Soil Science Soil science Plant Science Pasture Standard deviation Partial least squares regression Environmental science Animal Science and Zoology Precision agriculture Agronomy and Crop Science |
| Zdroj: | New Zealand Journal of Agricultural Research. 52:417-434 |
| ISSN: | 1175-8775 0028-8233 |
| DOI: | 10.1080/00288230909510524 |
| Popis: | Precision farming requires data on resource status at a very fine, within‐paddock scale which is impractical to collect by traditional sampling methods. This paper demonstrates the potential of a field radiometer in conjunction with a canopy pasture probe (CAPP) and global positioning system (GPS) to predict and map the spatial distribution patterns of herbage biomass and mass of nutrients, such as nitrogen (N), phosphorous (P), potassium (K), and sulphur (S) in hill country grassland. The accuracy of the calibration model using partial least squares (PLS) regression was assessed by using coefficient of determination (R 2) and the ratio of prediction to standard deviation (RPD). Continuum‐removed derivative reflectance (CRDR) data used in a PLS model gave an excellent prediction of the standing masses of N, P, and S (R 2> 0.895, RPD > 3.0). Both first derivative reflectance (FDR) and CRDR datasets gave a good prediction of standing biomass (R 2 > 0.857, RPD > 2.5). Although relatively lower predi... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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