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Accuracy and uncertainty of thermal-infrared remote sensing of stream temperatures at multiple spatial scales

机译:在多个空间尺度上对流温度进行热红外遥感的准确性和不确定性

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Stream temperature is an important indicator of water quality, particularly in regions where endangered fish populations are sensitive to elevated water temperature. Regional assessment of stream temperatures from the ground is limited by sparse sampling in both space and time. Remotely sensed thermal-infrared (TIR) images are able to make spatially distributed measurements of the radiant skin temperature of streams. We quantify and discuss the accuracy and uncertainty limits to recovering stream temperatures in the Pacific Northwest for a range of stream widths (10-500 m), and TIR pixel sizes (5-1000 m) from remotely sensed airborne and satellite TIR images. Among locations with more than three pixels across the stream, the image temperature overestimated the in-stream temperature on average by 1.2 degrees C, which is 7% of the in-stream temperature (standard error (SE) of 0.2 degrees C, n = 21). The corresponding uncertainty (band weighted standard deviation in image temperature) for these locations averaged 0.3 degrees C (SE < 0.1 degrees C, n=21) which is 2% of in-stream temperatures. This overestimation by the image temperatures is likely to be due to thermal stratification between the stream surface and the location of the in-stream temperature measurements deeper in the water column. For streams with one to three pixels across, mixing with bank elements increased the overestimation by image temperatures to 2.2 degrees C (SE=0.3 degrees C, n=23) on average (13% of in-stream temperatures), and the uncertainty increased to +/- 0.4 degrees C (SE=0.1 degrees C, n=23) which is 2% of in-stream temperatures. For a fraction of a pixel across the stream the overestimation by image temperatures was 7.6 degrees C (SE= 1.2 degrees C, n =23) on average (45% of in-stream temperatures), and the uncertainty was +/- 0.5 degrees C (SE=0.1 degrees C, n=23) which is 3% of in-stream temperatures. These results show that reliable satellite TIR measurement of stream temperatures is limited to large rivers (similar to 180-m across for Landsat ETM+), unless novel unmixing algorithms are used effectively. (c) 2005 Published by Elsevier Inc.
机译:溪流温度是水质的重要指标,尤其是在濒危鱼类种群对水温升高敏感的地区。时空稀疏采样限制了对地面水流温度的区域评估。遥感的热红外(TIR)图像能够对流的辐射皮肤温度进行空间分布的测量。我们量化并讨论了从遥感的机载TIR图像和卫星TIR图像恢复一定范围的溪流宽度(10-500 m)和TIR像素大小(5-1000 m)时恢复西北太平洋溪流温度的准确性和不确定性限制。在整个流中具有三个以上像素的位置中,图像温度平均高估了流内温度1.2摄氏度,这是流内温度的7%(0.2摄氏度的标准误(SE),n = 21)。这些位置的相应不确定度(带加权的图像温度标准差)平均为0.3摄氏度(SE <0.1摄氏度,n = 21),为流内温度的2%。图像温度的这种高估可能是由于溪流表面和水柱中较深的溪流温度测量位置之间的热分层。对于跨过一到三个像素的流,与堤岸元素的混合将图像温度的过高估计平均提高到2.2摄氏度(SE = 0.3摄氏度,n = 23)(流内温度的13%),不确定性增加到+/- 0.4摄氏度(SE = 0.1摄氏度,n = 23),这是流内温度的2%。对于整个流中的一小部分像素,图像温度的高估平均为7.6摄氏度(SE = 1.2摄氏度,n = 23)(流内温度的45%),不确定度为+/- 0.5摄氏度C(SE = 0.1摄氏度,n = 23),为流内温度的3%。这些结果表明,除非有效地使用新颖的分解算法,否则可靠的卫星TIR测量流温度仅限于大河(对于Landsat ETM +,跨度为180米)。 (c)2005年由Elsevier Inc.发布。

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