A dataset of inland water distribution in Hainan province based on remote sensing (2013-2017)

Based on GF-1 data and Landsat8 OLI data, we used the minimum-redundancy maximum-relevancy(mRMR) feature selection algorithm and the object-oriented knowledge rule set to automatically extract the land water distribution of Hainan province during 2013-2017.

Then assisted by high-resolution remote sensing images and Google Earth images to verify the classification accuracy. Results show a Kappa coefficient of 84.67%，85.98%，80.61%，88.66% and 90.66% for the subsets, respectively, demonstrating a high accuracy of the classification results. This dataset can be directly used to study the spatial and temporal distribution of land surface water.