Hyperspectral remote sensing for monitoring growth of rice (Oryza sativa) crop
DOI:
https://doi.org/10.59797/ija.v61i2.4347Keywords:
Hyperspectral data, Plant growth parameters, Nitrogen, Rice, Spectral indicesAbstract
A field experiment was conducted with 3 cultivars of rice (Oryza sativa L.), viz. PR 114, PR 116 and PR 118, under 5 levels of nitrogen (0, 75, 125, 175 and 225 kg N/ha) during the rainy (kharif) seasons of 2010 and 2011 at Ludhiana, Punjab. Growth parameters like leaf-area index (LAI), chlorophyll content, number of tillers, chlorophyll-concentration index (CCI) and plant height were recorded. Spectral indices such as normalized differ- ence vegetation index (NDVI), ratio-vegetation index (RVI), moisture-stress index (MSI), green index (GI), leaf- chlorophyll index (LCI) and plant-senescence reflectance index (PSRI), were computed using the multiband spec- tral data, recorded with FieldspecPro 2000. The spectral indices at booting stage had the best correlations with the crop parameters and had R2 values between 0.68 and 0.85. Spectral indices correlated well with grain yield (R2 = 0.590.85) and 1,000-grain weight (0.640.84). But the best correlations were recorded with NDVI and R2 = 0.82 for grain yield, R2 = 0.81 for 1,000-grain weight, and with LCI, R2 = 0.85 for grain yield, R2 = 0.84 for 1,000- grain weight. The leaf colour index (LCI) and NDVI were found to be the best indices among the selected and can be used to predict plant-growth parameters and yield at the booting stage of rice crop.References
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