2016-03-032015-06-03PEREIRA, R. M. Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais. 2015. 94 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015.http://repositorio.bc.ufg.br/tede/handle/tede/5288Spectral information obtained by satellite imagery is well related to agronomic variables and can be used to monitor sugarcane growth and their responses to changes in environmental conditions of cultivation in large areas. This study is aimed to establish relationships between orbital data in the spectral ranges of the thermal and active photosynthetic radiation of Landsat-8 satellite with data observed with the leaf area index field (LAI), plant height, number of green leaves, and leaf temperature in plots planted with sugarcane, CTC-04 genotype, in a production cycle in sugarcane plant stage in Santo Antônio de Goiás-GO in the 2013/14 crop year. The first study aimed to calibrate a model to measure the temporal variation of the sugarcane LAI from the Normalized Difference Vegetation Index (NDVI) obtained from satellite Landsat 8’s surface reflectance images. It was conducted and the correlation between the LAI collected in the field and the NDVI with and without application of atmospheric correction. The corrected model showed the best relationship with field data. The application of the spectral model was efficient to monitor LAI over a sugarcane plant cycle. The results suggest that the NDVI-LAI relationship may vary during the production cycle of sugarcane due to variations in growth, development, and environmental conditions. Spectral variable NDVI with atmospheric correction was highly correlated (R² = 0,83) with LAI but the relationship proved to be affected by the NDVI saturation point at high values of LAI observed in the field. The second study aimed to evaluate the applicability of surface temperature (LST) obtained from the thermal bands of the Landsat-8 in correlation with the leaf temperature of sugarcane, to establish relationships able to detect water stress remotely through the images, in the occurrence period of drought throughout the year production in rain fed crop in the Cerrado region. The results showed that LST, despite having low direct association with the leaf temperature, has the potential of monitoring water stress in sugarcane within the Cerrado region, since the simulation of the difference between LST and the air temperature accompanies the spread between the leaf temperature and the air, the dynamics of soil water balance and changes in crop growth rates that occur in response to water stress.application/pdfAcesso AbertoSaccharum spp. crescimentoDeficiência hídricaLandsat 8Índice de vegetaçãoTemperatura de superfícieSaccharum spp. growthWater deficitLandsat 8Vegetation indexSurface temperatureCIENCIAS AGRARIAS::AGRONOMIADissertação