首页> 外文会议>Conference on earth observing missions and sensors: development, implementation, and characterization IV >Absolute Vicarious calibration of Landsat-8 OLI and Resourcesat-2 AWiFS sensors over Rann of Kutch site in Gujarat
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Absolute Vicarious calibration of Landsat-8 OLI and Resourcesat-2 AWiFS sensors over Rann of Kutch site in Gujarat

机译:Landsat-8 Oli和Resourcesat-2 AWIFS传感器的绝对替代校准在Gujarat的kuch座位上的Rann

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In this work, vicarious calibration coefficients for all the four bands (green, red, NIR and SWIR) of Resourcesat-2 AWiFS sensor for four dates during Dec 2013-Nov 2014 and for seven bands (blue, green, red, NIR, SWIR1, SWIR2 and PAN) of OLI sensor onboard Landsat-8 for six dates during Dec 2013-Feb 2015 were estimated using field measured reflectance and measured atmospheric parameters during sensor image acquisition over Rann of Kutch site in Gujarat. The top of atmosphere (TOA) at-satellite radiances for all the bands were simulated using 6S radiative transfer code with field measured reflectance, synchronous atmospheric measurements and respective sensor's spectral response functions as an input. These predicted spectral radiances were compared with the radiances from the respective sensor's image in the respective band over the calibration site. Cross-calibration between the sensors AWiFS and OLI was also attempted using near-simultaneous same day image acquisition. Effect of spectral band adjustment factor was also studied with OLI sensor taken as reference sensor. Results show that the variation in average estimated radiance ratio for the AWiFS sensor was found to be within 10% for all the bands, whereas, for OLI sensor, the variation was found to be within 6% for all the bands except green and SWIR2 for which the variation was 8% and 11% respectively higher than the 5% uncertainty of the OLI sensor specification for TOA spectral radiance. At the lo level, red, NIR, SWIR1 and Panchromatic bands of OLI sensor showed close agreement between sensor-measured and vicarious TOA radiance resulting no change in calibration coefficient and hence indicating no sensor degradation. Two sets of near-simultaneous SBAFs were derived from respective ground measured target reflectance profiles and applied to the AWiFS and it was observed that overall, SBAF compensation provides a significant improvement in sensor agreement. The reduction in the difference between AWiFS and OLI measured TOA reflectance was found to be within 1% for green band and within 0.5% for Red band, whereas, maximum difference was observed for NIR band (within 3.4%) after applying SBAF correction.
机译:在这项工作中,资源-2 APIFS传感器的所有四个频段(绿色,红色,NIR和SWIR)的校准系数为2014年12月2014年11月和七个乐队(蓝色,绿色,红色,NIR,SWIR1 Oli传感器在2013年12月期间Oli传感器持续的六个日期的Swir2和Pan)估计了古吉拉特·古吉拉特Rann的传感器图像采集期间测量的距离测量的反射率和测量的大气参数。使用6S辐射传输码模拟具有现场测量反射率,同步大气测量和相应传感器的光谱响应函数作为输入的辐射传输码模拟所有带的卫星广域的顶部。将这些预测的光谱放射与校准站点的各个带中的各个传感器图像的图像进行比较。还使用近同一天图像采集尝试了传感器AWIFS和OLI之间的交叉校准。还研究了光谱带调节因子的效果,用OLI传感器作为参考传感器研究。结果表明,所有频段的平均估计辐射比的平均估计辐射比率在10%以内,而对于OLI传感器,对于绿色和瑞士的所有频段,发现变化在6%以内。该变异分别为8%和11%,分别高于OLI传感器规范的TOA光谱光散的5%不确定性。在LO电平,OLI传感器的红色,NIR,SWIR1和Panchromatic频带在传感器测量和替代的TOA光线之间显示了密切的协议,导致校准系数没有变化,因此表示没有传感器劣化。两组近同时SBAFS来自各自的地面测量的目标反射型谱,并施加到APIFS上,并且观察到总体而言,SBAF补偿提供了传感器协议的显着改善。发现AWIF和OLI之间的差异的降低被发现是绿色带的1%以内,红色频段的0.5%内,而在施加SBAF校正后,对于NIR带(3.4%内)观察到最大差异。

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