期刊名称：Revista Ibero-Americana de Ciências Ambientais
电子版ISSN：2179-6858
出版年度：2020
卷号：11
期号：5
页码：638-651
DOI：10.6008/CBPC2179-6858.2020.005.0057
出版社：Escola Superior de Sustentabilidade
摘要：Characterize accurately and accurate evapotranspiration (ET) on a global scale has been one of the major determinant challenges in terrestrial ecosystem studies, climate dynamics and hydrological cycle. The goal in this study was to evaluate methodologies presented in the literature proposing a new methodology and automation in the process of selection of hot and cold pixels to need the sensible heat flux H and ET. The study was conducted in four different locations in the state of Mato Grosso, Brazil. And two areas of forest and two formed by pasture. For the H automation process we used the proposed Bastiaanssen et al. (1998a), Gao et al. (2011), and other vegetation using different levels of the literature suggests. The automation of the selection of hot and cold pixels process was successful, showing correlations above 0.83 for the estimates of H and 0.75 for estimates of ET. The identification of hot and cold pixels using the methodology by similarity of neighboring pixels using the average of pixels showed the highest correlations to the H in the study areas. LAI had the best indicator in the automated identification of hot and cold pixels to estimate the daily evapotranspiration (ET24h).
关键词：Automação; Fluxo de calor sensível; Sensoriamento remoto
