Cross-sensor radiometric normalization of Planet smallsat data using Sentinel-2 to improve consistency across scenes and environments
Cross-sensor radiometric normalization of Planet smallsat data using Sentinel-2 to improve consistency across scenes and environments
复制标题
使用 Sentinel-2 对 Planet 小卫星数据进行跨传感器辐射标准化，以提高场景和环境之间的一致性
DOI：
10.1117/12.2600246
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Frazier, Amy E.
中科院分区：
文献类型：
--
作者：
Hemingway, Benjamin L.;Frazier, Amy E.
商业小卫星正在成为遥感界的一个关键资源，行星实验室公司。运行着最大的星座全球覆盖是通过许多不同传感器的共同努力实现的，但每个传感器的独特光谱响应导致整个星座的辐射不一致。这些不一致性一直是研究人员的一个障碍，因为图像不符合遥感界对Landsat或Sentinel等传统平台的期望。已经提供了各种方法来校正行星图像采集中的跨传感器辐射不一致性，其中许多方法利用高辐射质量平台，例如Landsat或Sentinel，通过线性变换来归一化行星表面反射率。这些方法在很大程度上被应用于同质区域，在异质景观的性能还没有得到很好的理解。行星表面反射率图像使用Sentinel-2表面反射率作为参考进行线性转换。转换进行了测试，在六个异构的国家生态观测网络的网站，空中高光谱数据进行验证。使用Kolmogorov-Smirnov检验的D统计量比较变换后的Planet图像和相应的Sentinel参考图像的概率密度函数。转换后的行星图像的绝对光谱精度进行了评价，对机载高光谱数据。结果表明，转换是有效的，在转换的经验累积分布函数的行星图像更类似的哨兵，无论初始偏移。
Commercial smallsats are emerging as a key resource for the remote sensing community, with Planet Labs, Inc. operating the largest constellation. Global coverage is achieved through the combined efforts of many different sensors, but the unique spectral response of each sensor results in radiometric inconsistencies across the constellation. These inconsistencies have been an obstacle for researchers as the images do not match the quality the remote sensing community has come to expect from traditional platforms such as Landsat or Sentinel. Various approaches have been offered to correct cross-sensor radiometric inconsistencies in Planet image acquisitions, with many utilizing high radiometric quality platforms such as Landsat or Sentinel to normalize Planet surface reflectance via a linear transformation. These approaches have largely been applied in homogenous regions, and performance in heterogeneous landscapes is not well understood. The Planet surface reflectance images were transformed linearly using Sentinel-2 surface reflectance as a reference. Transformations were tested in six heterogeneous National Ecological Observatory Network sites where airborne hyperspectral data was available for validation. The probability density functions of the transformed Planet images and the corresponding Sentinel reference images were compared using the D statistic of the Kolmogorov-Smirnov test. The absolute spectral accuracy of the transformed Planet images was evaluated against airborne hyperspectral data. Results show that the transformations were effective in transforming the empirical cumulative distribution functions of the Planet images to be more similar to that of Sentinel regardless of initial offsets.
DOI：
10.3390/rs12193219
发表时间：
2020-10
期刊：
Remote. Sens.
影响因子：
--
作者：
Yaping Xu;N. Vaughn;D. Knapp;R. Martin;Christopher S. Balzotti;Jiwei Li;S. Foo;G. Asner
通讯作者：
Yaping Xu;N. Vaughn;D. Knapp;R. Martin;Christopher S. Balzotti;Jiwei Li;S. Foo;G. Asner
影响因子：
8.3
作者：
Leach, Nicholas;Coops, Nicholas C.;Obrknezev, Nikola
通讯作者：
Obrknezev, Nikola