Estimation of surface temperature with images obtained with drones

J. Galvíncio
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引用次数: 1

Abstract

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.
利用无人机获取的图像估计地表温度
每一天都有增加和多样化的问题与环境问题有关,造成严重的社会影响,其中之一是全球气温升高。因此,研究温度的时空变化变得越来越重要。由于一般监测的气象资料是降水,因此时空温度信息相当匮乏。随着新技术的发展,估算表面温度的方法得到了发展。因此,本研究的目的是利用无人机图像估计地表温度,并初步验证其准确性。结果表明,与观测数据相比,估计成功率在90%以上,结果非常有希望。结果表明,利用无人机图像对地表温度进行精确估计是可行的。关键词:气候变化,辐射计定标,环境分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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