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Temperatrue maps obtained from satellite images for a forest wildfire temporal evolution analysis

机译:从卫星图像获得的温度图,用于森林野火时间演变分析

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The convension of igital Counts (DC) to surface temperautre, for Thermal Infrared wavelengths in TIROS-NOAA satelites, requires three steps: 1) calibration; 2) conversion of radiance to true temeprature; 3) soil temeprature after atmospheric and emissivity correction. The transformation o DC to radiance of the scene depends on the blackbody internal temperature and the representative cold space view sensed with the platinum resistnace thermomethers. Header words 18, 19 and 20 each contain those measures and header words 23 to 52 provide ten internal target data each for Infra Red channels 3,4 and 5. The conversion to brightness temperature from radiance is performed using hte inverse of Planck's radiation equaiton. The non-linearity in the calibration is accounted for through the addition of a correction term to the brightness temperature of scene. From rue brightness temperature, the split-window algorithm, determiens the surface temeprature. This methodology is applied to a group of images dated before, during and after a fire in Aznalcollar (Spain) for a temporal evolution analysis.
机译:对于TIROS-NOAA卫星中的热红外波长,将原始计数(DC)召集到表面温度,需要三个步骤:1)校准; 2)将辐射度转换为真实温度; 3)校正大气和发射率后的土壤温度。 DC到场景辐射的转换取决于黑体内部温度以及铂电阻热敏电阻感测到的代表性冷空间视图。标题词18、19和20分别包含这些度量,并且标题词23至52分别为红外通道3,4和5提供十个内部目标数据。使用普朗克辐射等式的逆函数将辐射度转换为亮度温度。校准中的非线性是通过向场景的亮度温度添加校正项来解决的。分离窗口算法根据云母的亮度温度确定表面温度。该方法适用于一组在阿兹纳尔科拉尔(西班牙)发生火灾之前,之中和之后的图像,用于时间演变分析。

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