Assessing biophysical variable parameters of bean crop with hyperspectral
作者： Priscylla Ferraz Câmara Monteiro , Alexandre Cândido Xavier , Rodrigo Otávio , Câmara Monteiro , Rubens Angulo Filho
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摘要: Recently high spectral resolution sensors have been developed, which allow new and more advanced applications in agriculture. Motivated by the increasing importance of hyper- remote sensing data, need for research is important to define optimal wavebands estimate biophysical parameters crop. The use narrow band vegetation indices (VI) derived from hyperspectral measurements acquired a field spectrometer was evaluated bean (Phaseolus vulgaris L.) grain yield, plant height leaf area index (LAI). Field canopy reflectance were at six growth stages over 48 plots with four water levels (179.5; 256.5; 357.5 406.2 mm) tree nitrogen rates (0; 80 160 kg ha -1 ) replicates. following VI analyzed: OSNBR (optimum simple narrow-band reflectivity); NB_NDVI (narrow-band normalized difference index) NDVI (normalized index). investigated (OSNBR, NDVI) efficient LAI, yield. During all crop development, best correlations between variables observed on V4 (the third trifoliolate leaves unfolded 50 % plants) R6 (plants developed first flowers stages, according variable analyzed.
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