Terra MODIS、Landsat 7 ETM+和Landsat 8 OLI对ASTER VNIR波段辐射定标的评价

K. Obata, S. Tsuchida, H. Yoshioka
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摘要

先进星载热发射与反射辐射计(ASTER)可见光与近红外(VNIR)波段的在轨辐射定标包括基于反射率法的替代定标、星载灯定标以及与Terra星载中分辨率成像光谱仪(MODIS)的交叉定标。在之前的研究中,使用改进的交叉校准算法参考MODIS对ASTER校准进行评估(Obata et al., Sensors, 2017)。在本研究中,通过使用其他高度校准的传感器,包括Landsat 7 Enhanced Thematic Mapper Plus (ETM+)和Landsat 8 Operational Land Imager (OLI),对评估进行了扩展。本研究的目的是评估2000年至2018年期间使用MODIS、ETM+和OLI对应物对Railroad Valley Playa地区ASTER VNIR波段的辐射校准。结果表明,ASTER波段1和2平均比MODIS/ETM+高4.2 ~ 4.5%和1.8 ~ 3.3%,其中ASTER波段3N与MODIS/ETM+吻合较好。ASTER表面反射率随时间的变化趋势与OLI相似。然而,为了准确分析统计数据,应增加ASTER和OLI比较的样本数据数量。然而,通过交叉比较获得的见解为评估ASTER辐射校准提供了有益的信息。多传感器辐射标定之间的一致性在数据连续性和传感器融合研究中具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating radiometric calibration of ASTER VNIR band with Terra MODIS, Landsat 7 ETM+, and Landsat 8 OLI
On-orbit radiometric calibration of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) visible and near-infrared (VNIR) band involves vicarious calibration using reflectance-based method, onboard lamp calibration, and cross-calibration with Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra. The ASTER calibration was evaluated with reference to MODIS using an improved cross-calibration algorithm in the previous study (Obata et al., Sensors, 2017). In the present study, the evaluation is expanded by using other sensors that are highly calibrated, including the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI). The objective of the present study is to evaluate radiometric calibration of ASTER VNIR band using MODIS, ETM+, and OLI counterparts over Railroad Valley Playa for the period from 2000 to 2018. Results indicate that ASTER bands 1 and 2 are in average 4.2-4.5% and 1.8-3.3% greater than MODIS/ETM+ and that ASTER band 3N agrees well with MODIS/ETM+. The behavior of ASTER surface reflectances along time shows similar trend to that of OLI. The number of sample data for ASTER and OLI comparison should be, however, increased for accurate analysis of statistics. Nevertheless, insights obtained by cross-comparisons provide beneficial information for evaluating ASTER radiometric calibration. The consistency among radiometric calibrations of multiple sensors is of significance importance in the context of data continuity and sensor fusion studies.
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