Bathymetry over broad geographic areas using optical high-spatial-resolution satellite remote sensing without in-situ data

Author:

Xu Yan,Cao Bin,Deng Ruru,Cao Bincai,Liu Hui,Li Jiayi

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference49 articles.

1. Effects of per-pixel variability on uncertainties in bathymetric retrievals from high-resolution satellite images;Botha;Remote Sens. (Basel),2016

2. A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data;Brando;Remote Sens. Environ.,2009

3. Brockmann, C., Doerffer, R., Peters, M., et al., 2016. Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters. In: Living Planet Symposium. ESA, Prague, Czech Republic. URL: chrome-extension: //ibllepbpahcoppkjjllbabhnigcbffpi/https://articles.adsabs.harvard.edu/pdf/2016ESASP.740E..54B.

4. A comparison of Landsat 8, RapidEye and Pleiades products for improving empirical predictions of satellite-derived bathymetry;Cahalane;Remote Sens. Environ.,2019

5. Bathymetric retrieval selectively using multiangular high-spatial-resolution satellite imagery;Cao;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2021

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