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Temperature retrieval for earth's surfaces using BIRD (Bi-spectral InfraRed detection)

机译:使用鸟的地球表面温度检索(双光谱红外检测)

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The Earth's surface temperature is a key parameter for the understanding of the energetic and hydrological balance of the Earth. Continuous measurements of the global temperature distribution provide information on its changes and impact on theglobal climate.With the BIRD small satellite mission (size: 158 cm×64 cm×52 cm, mass: 85 kg) a new generation of imaging infrared sensors to be used in space will be tested [1]. The main scientific tasks include the developing of temperature retrieval methods forhigh-temperature-events like fires, vulcanos etc. as well as for "normal" Earth's surface temperature like the temperature of vegetation, etc. - the fire surrounding temperature. BJRD, a multi-spectral sensor system, is slated to be launched in 2000. Itconstists of two IR cameras (3.4 - 4.2μm (MIR -Mid InfraRed) and 8.5 - 9.3μm (TIR -Thermal InfraRed)) as well as a stereo camera WAOSS (Wide-Angle Optoelectronic Stereo Scanner) where the spectral ranges lie within the visible (VIS) and the nearinfrared (NIR).Two temperature retrieval methods customized for the BIRD channel constellation are established. One method is based on a multi-spectral regression (refered to as "regression"-approach) using brightness temperatures of both channels at the top of theatmosphere. The other approach recovers land surface emissivity and temperature from ground radiances utilizing a "Temperature Independent Spectral Index for Emissivity" (refered to as "TISIE"-approach) [2]. Both methods lead to equivalent temperatureretrieval errors, but the "TISIE"-approach does not need an a priori knowledge of the emissivity.
机译:地球表面温度是了解地球的能量和水文平衡的关键参数。全球温度分布的连续测量提供了有关其对Global Climate的变化和影响的信息。鸟类小卫星使命(尺寸:158厘米×64厘米×52厘米,质量:85千克)新一代成像红外传感器在太空中使用将测试[1]。主要科学任务包括高温活动的温度检索方法的发展,如火灾,ulcanoS等,如“正常”的地球表面温度,如植被的温度等 - 火灾周围温度。一个多光谱传感器系统的BJRD被加入2000年。两台IR摄像机的Itconstists(3.4 - 4.2μm(miR-4.2μm)和8.5 - 9.3μm(tir-9.3μm)以及立体声相机Waoss(广角光电立体声扫描仪),其中光谱范围位于可见(VI)和接近过滤(NIR).Two温度检索方法,建立了为鸟道星座定制的。一种方法基于在剧影顶部的亮度温度的多光谱回归(参考为“回归” - Preshach)。其他方法利用“发射率的温度独立光谱指数”(参考为“Tisie”-Appoach)[2],从地面面条恢复到地面辐射率和温度。两种方法都导致了等同的温度异步错误,但“TISIE” - Puplach不需要先验的发射率。

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