Geometric accuracy of remote sensing images over oceans: The use of global offshore platforms

• Published in: Remote sensing of environment Vol. 222; pp. 244 - 266
• Main Authors: Liu, Yongxue, Hu, Chuanmin, Dong, Yanzhu, Xu, Bihua, Zhan, Wenfeng, Sun, Chao
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.03.2019; Elsevier BV
• Subjects: Accuracy; Agriculture; Collection; Geological surveys; Geometric accuracy; geometry; Ground control points; Image resolution; inventories; Landsat; Landsat satellites; moderate resolution imaging spectroradiometer; Oceans; Offshore; Offshore drilling rigs; Offshore platforms; oils; Remote sensing; Remote sensing images; Satellite imagery; Satellites; time series analysis; United States Geological Survey; Ground control points; Remote sensing images; Geometric accuracy; Offshore platforms; Landsat
• DOI: 10.1016/j.rse.2019.01.002
• ISSN: 0034-4257

The geometric accuracy of tens of millions of scenes of medium-resolution remote sensing (RS) images collected in the past 45 years has been systematically evaluated for land scenes, but the accuracy of ocean scenes is poorly known due to the lack of ground control points (GCPs). In this study, the locations of offshore platforms are first derived from time-series of Landsat-8 OLI images, and are then used as offshore reference points to systematically assess the geometric performance of RS images covering offshore oil/gas development areas. An inventory of 16,131 offshore platforms at the global scale is established, and then a novel method using the position-invariant characteristic of offshore platforms and the coherent characteristic of the geometric shift among tie-points (i.e. between sensed points from to-be-assessed images and the corresponding OLI-derived reference points) is developed for assessing the geometric accuracy of Landsat and other RS images. The method has been applied to 112,935 Landsat scenes (~1.87% of the entire archive) over oceans. The results indicate an optimal performance of Landsat OLI images (both pre-collection and Collection-1) but a less reliable performance of Landsat TM/ETM+ L1TP images. Approximately 50% of TM L1GS and ETM+ L1GT images have at least 2 pixels of geometric error. The new reference points inventory and the developed method were also applied to many other low-resolution and finer-resolution imagery (e.g. VIIRS Night-fire product, Terra/Aqua MODIS active fire product, ENVISAT ASAR, ALOS-1 PALSAR, Sentinel-1 SAR, Sentinel-2 MSI, the National Agriculture Imagery Program (NAIP) aerial images, and images from several Chinese satellites), and a quantitative description of the geometric accuracy of these sensors is also presented. The findings suggest that the new offshore reference point inventory is probably useful to help establish more robust offshore GCPs for U.S. Geological Survey (USGS) GCP library and further improve the ongoing USGS Global GCP improvement plan and European Space Agency Global Reference Image plan. •A total of 16,131 global offshore platforms are derived from time-series OLI images.•The offshore platforms are used to assess Landsat geometric accuracy over oceans.•Platforms-position-invariance & tie-points-geometric-shift-coherence are employed.•The method is applied to 112,935 Landsat images (~1.87% of the entire archive).•The platform inventory may complement the USGS database for ocean applications.