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Water Body Extraction from Sentinel-3 Image with Multiscale Spatiotemporal Super-Resolution Mapping
| Content Provider | MDPI |
|---|---|
| Author | Yang, Xiaohong Li, Yue Wei, Yu Chen, Zhanlong Xie, Peng |
| Copyright Year | 2020 |
| Description | Water body mapping is significant for water resource management. In the view of 21 spectral bands and a short revisit time of no more than two days, a Sentinel-3 OLCI (Ocean and Land Colour Instrument) image could be the optimum data source in the near-real-time mapping of water bodies. However, the image is often limited by its low spatial resolution in practice. Super-resolution mapping (SRM) is a good solution to generate finer spatial resolution maps than the input data allows. In this paper, a multiscale spatiotemporal super-resolution mapping (MSST_SRM) method for water bodies is proposed, particularly for Sentinel-3 OLCI images. The proposed MSST_SRM method employs the integrated Normalized Difference Water Index (NDWI) images calculated from four near-infrared (NIR) bands and Green Band 6 of the Sentinel-3 OLCI image as input data and combined the spectral, multispatial, and temporal terms into one objective function to generate a fine water body map. Two experiments in the Tibet Plate and Daye lakes were employed to test the effectiveness of the MSST_SRM method. Results revealed that by using multiscale spatial dependence under the framework of spatiotemporal super-resolution Mapping, MSST_SRM could generate finer water body maps than the hard classification method and the other three SRM-based methods. Therefore, the proposed MSST_SRM method shows marked efficiency and potential in water body mapping using Sentinel-3 OLCI images. |
| Starting Page | 2605 |
| e-ISSN | 20734441 |
| DOI | 10.3390/w12092605 |
| Journal | Water |
| Issue Number | 9 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-09-17 |
| Access Restriction | Open |
| Subject Keyword | Water Remote Sensing Multiscale Spatial Dependence Water Body Mapping Super-resolution Mapping Sentinel-3 |
| Content Type | Text |
| Resource Type | Article |
