
Estimation of surface temperature with images obtained with drones
Author(s) -
Josiclêda Domiciano Galvíncio
Publication year - 2019
Publication title -
journal of hyperspectral remote sensing
Language(s) - English
Resource type - Journals
ISSN - 2237-2202
DOI - 10.29150/jhrs.v9.6.p397-406
Subject(s) - drone , environmental science , precipitation , surface air temperature , radiometer , remote sensing , climate change , calibration , estimation , meteorology , air temperature , computer science , climatology , statistics , geography , mathematics , geology , engineering , systems engineering , oceanography , genetics , biology
Every day has increased and diversified the problems related to environmental issues causing serious social impacts, one of them is the increase in global temperature. Thus, studying the spatial and temporal variation of temperature becomes increasingly important. Spatial and temporal temperature information is quite scarce because generally monitoring meteorological data is precipitation. With the new technology’s methodologies have been developed to estimate the surface temperature. Thus, the aim of this study was to use drone images to estimate surface temperature and preliminary verify its accuracy. The results showed that the results are very promising since the estimates when compared with observed data were above 90% of success. It is concluded that it is possible to obtain accurate estimate of surface temperature with drone images.Keywords: climate change, radiometer calibration, environmental analysis.