ABSTRACT Hyperspectral sensors and regression analysis have been used to analyze the most important spectral ranges for biophysical parameters of target crops, aiding in management decision-making. This study aimed to analyze the spectral response of Brachiaria brizantha cv. Marandú leaves to increasing rates of urea fertilization and predict leaf nitrogen content (LNC). Four rates of urea fertilization (0, 25, 50, and 75 kg of N ha-1) were applied. Eight leaves were collected per plot seven times at monthly intervals and subjected to hyperspectral analysis. Leaf spectral responses differed statistically within the visible region, particularly at 550 nm (green). The regression models achieved moderate to good R2 values (0.53 to 0.83) for predicting LNC and identified important wavelengths in the red edge region (715 to 720 nm). These findings demonstrate the potential of spectral analysis to detect changes and forecast leaf nitrogen content in B. brizantha cv. Marandú crops at different fertilization levels.

Dada a importância das equações de chuvas intensas para o dimensionamento de obras de controle de enxurradas, este trabalho teve como objetivo comparar as alturas precipitadas geradas pelas equações de Martinez & Magni (1999) com aquelas obtidas com o programa PLUVIO 2.1, considerando as primeiras como padrão. Foram comparadas chuvas intensas de 10; 20; 30; 60; 120 e 1.440 minutos, e períodos de retorno de 2; 5; 10; 50 e 100 anos, para 30 localidades do Estado de São Paulo. Os resultados revelaram que, principalmente para as chuvas de 24 horas e período de retorno de 100 anos, houve desvios importantes para 4 postos localizados na região central e a leste do Estado. Para as demais localidades o programa apresentou bom desempenho.

Rainfall intensity durations relationships are extremely important in the design of systems for mitigating runoff losses. The objective of this work was to compare rainfall depths generated by the PLUVIO 2.1 software, with depths from the standard intensity duration curves developed by MARTINEZ & MAGNI (1999). It was compared rainfall intensities of 10, 20, 30, 60, 120 and 1440 minute durations for 2, 5, 10, 50 and 100 year return periods for 30 sites in the state of São Paulo. The results showed that PLUVIO was effective, except in predicting the 24 hours rainfall from 100 year return period events in four locations in the central and eastern regions of the state.