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A new approach to thermal inertia determination using NOAA-AVHRR data: Application to the Iberian Peninsula

机译:使用NOAA-AVHRR数据进行热惯性测定方法:应用于伊比利亚半岛的应用

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The thermal inertia, P, is denned as a measure of the resistance offered by materials to change their temperature. P is the most important single thermal property which governs surface temperature variation. Therefore thermal inertia is of great interest to geological and hydrological studies and climate modeling. An attractive and unique way to map and monitoring this parameter over large scale is to use space observation from satellite in the visible and thermal infrared bands. In this paper we present a new algorithm, based on Xue and Cracknell's model, which allows to obtain the thermal inertia combining afternoon and morning NOAA satellites. The algorithm was tested with a set of measurements made on a region of Niger in the frame of HAPEX-Sahel experiment. The behaviour of the model was analyzed by comparing the predicted surface temperatures with the measured ones every ten minutes along the daytime, and by comparing the predicted and measured maximum and minimum surface temperature valuesas well as their times in the daytime. Our results indicate that for the 90 per cent of the cases the absolute difference between predicted and measured surface temperature is lower than 2 K, with a standard deviation of 1.5 K that improves to 1 K whenpredicting the maximum and minimum surface temperatures. In this situation the FTM predicts also their respective times with a standard deviation lower than 30 minutes, this makes possible building images of minimum surface temperature and their date from NOAA data. This fact is of great interest in the case of frosting with clear sky conditions. Following the proposed algorithm a map of thermal inertia of the Iberian peninsula is presented. The results are consistent with the known properties of this area.
机译:热惯量P,作为材料改变温度所提供的电阻的衡量标准。 P是最重要的单一热性,治理表面温度变化。因此,热惯性对地质和水文研究和气候建模感兴趣。在大规模上映射和监测此参数的一种有吸引力和独特的方法是使用从可见和热红外带中的卫星的空间观察。本文介绍了一种新的算法,基于Xue和Chartnell的模型,这允许获得午后和早晨Noaa卫星的热惯性。通过在Hapex-Sahel实验框架中的尼日尔区域进行了一组测量来测试该算法。通过将预测的表面温度与测量的沿日间每十分钟的每十分钟进行比较,并通过将预测和测量的最大和最小表面温度值进行比较,以在白天的时间内比较预测和测量的最大和最小表面温度值。我们的结果表明,对于90%的情况,预测和测量表面温度之间的绝对差异低于2 k,标准偏差为1.5k,该标准偏差改善为1 k预测最大和最小表面温度。在这种情况下,FTM也以低于30分钟的标准偏差预测其各自的时间,这使得最小表面温度和从NOAA数据的日期构建图像。这一事实对在透明的天空条件结霜的情况下非常兴趣。遵循所提出的算法,提出了伊比利亚半岛的热惯性地图。结果与该区域的已知性质一致。

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