Basic descriptions This dataset provides the reconstructed surface water area time series for all studied lakes >1 km2 in China during the period of 2000-2019. Here an improved occurrence threshold-based water classification recovery algorithm, along with a well-designed quality control process were developed to correct the contaminated remote sensing images and generated high-quality, large-scale and long-term continuous
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Basic descriptions The GCNT-Plume dataset provides a comprehensive spatial distribution of the long-term occurrence and temperature increments of thermal plumes discharged from a total of 74 discharge outlets associated with 66 nuclear power plants located along global coastlines and the Great Lakes during their operational periods. This dataset is generated by segmenting thermal anomalies observed in
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