GTF30: global 30 m tidal flat annual maps from 2000 to 2022

<p><strong>Basic information:</strong></p> <p>Tidal flats are an important part of coastal ecosystems and play an important role in shoreline protection and biodiversity maintenance. <strong>The GTF30 are time-series global 30 m tidal flat annual datasets from 2000 to 2022</strong>, covering the <strong>whole global coasts</strong> especially in the high latitides (&gt;60&deg; N), and generated by<strong> an automatic mapping method</strong> from time-series Landsat observations. The details about the automated method can be seen in the work of <strong>Zhang et al. 2023a</strong>. The quantitative accuracy assessment shows that the GTF30 dataset achieves <strong>an overall accuracy of&nbsp;90.34% and a kappa coefficient of 0.807</strong>.</p> <p><strong>Notes:</strong></p> <p>The GTF30 annual maps are divided into 588 5&deg;&times;5&deg; geographical tiles, and each tile contains 23 bands which denotes the tidal flat maps in 2000, 2001, 2002,..., 2021, 2022.</p> <p><strong>Usage Policy:</strong></p> <p>If you plan to use our data in <strong>a scientific analysis paper</strong>, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors.</p> <p><strong>Citations:</strong></p> <p>Zhang, X., Liu, L., Wang, J., Zhao, T.,&nbsp;Liu, W., and&nbsp;Chen, X.:&nbsp;Automated mapping of global 30 m tidal flats using time-series Landsat imagery: algorithm and products, <strong>Journal of Remote Sensing</strong>, 2023a.</p> <p>Zhang, X., Liu, L., Zhao, T., Chen, X., Lin, S., Wang, J., Mi, J., and Liu, W.: GWL_FCS30: a global 30&thinsp;m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020, Earth Syst. Sci. Data, 15, 265&ndash;293, <a href="https://doi.org/10.5194/essd-15-265-2023">https://doi.org/10.5194/essd-15-265-2023</a>, 2023b.</p>