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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Validation of temperature-emissivity separation and split-window methods from TIMS data and ground measurements
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Validation of temperature-emissivity separation and split-window methods from TIMS data and ground measurements

机译:根据TIMS数据和地面测量值验证温度-发射率分离和分割窗口方法

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Land surface temperature retrieved with temperature-emissivity separation (TES) and split-window (SW) algorithms from six-channel Thermal Infrared Multispectral Scanner (TIMS) data in the HAPEX-Sahel experiment agreed with contemporaneous ground temperature measurements to within +/-1degreesC (TES and SW with channels at 10.8 and 11.7 mum, or SW-56). The SW algorithm used with TIMS channels at 8.4 and 8.7 mum (SW-12) underestimated ground temperatures by 2-5 degreesC. The TES method required atmospheric correction of at-sensor radiances, which was done with local radiosonde data and MODTRAN 4, and an empirical relationship between the spectral range of emissivity and its minimum value. Emissivity data required for the SW algorithms were obtained using vegetation cover estimates from near-coincident reflective remote sensing data. The temperature underestimation of the SW-12 algorithm could be caused by errors in the emissivity inputs calculated from the vegetation cover. Such errors were due to the high variability of surface emissivity in the 8-9-mum waveband, which was much larger than in the 10-12-mum region. This was checked using TES derived emissivities as inputs of the SW algorithms, and comparing the resulting temperatures with the TES temperatures. In this case, both the SW-56 and SW-12 temperatures agreed with TES within +/-1degreesC for all sites and scenes. (C) 2003 Elsevier Science Inc. All rights reserved. [References: 22]
机译:从HAPEX-Sahel实验中的六通道热红外多光谱扫描仪(TIMS)数据中使用温度发射率分离(TES)和分割窗口(SW)算法检索的地表温度与同期地面温度测量值相差在+/- 1°C以内(TES和SW的通道分别为10.8和11.7毫米,或SW-56)。在8.4和8.7毫米(SW-12)的TIMS通道上使用的SW算法将地面温度低估了2-5摄氏度。 TES方法需要对大气中的传感器辐射进行校正,这需要使用本地探空仪数据和MODTRAN 4进行,并且需要在发射率的光谱范围与其最小值之间建立经验关系。 SW算法所需的发射率数据是使用植被覆盖率估算值获得的,该估算值来自于重合的反射遥感数据。 SW-12算法的温度低估可能是由从植被覆盖层计算出的发射率输入中的错误引起的。这样的误差是由于8-9毫米波段中的表面发射率的高度可变性所致,该可变性比10-12毫米区域中的大得多。使用TES导出的发射率作为SW算法的输入,并将结果温度与TES温度进行比较,以进行检查。在这种情况下,对于所有场所和场景,SW-56和SW-12的温度均与TES一致,且误差在+/- 1°C之内。 (C)2003 Elsevier Science Inc.保留所有权利。 [参考:22]

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