Abstract
With economic development and improving living standards, the demand for water resources is steadily increasing. Monitoring water resources allows for the collection of spatial and temporal distribution characteristics of water bodies, conducive to the dynamic management of water resources. Area is an important parameter for water bodies. Satellite remote sensing data enables efficient, accurate, and convenient monitoring of water bodies, providing various parameters of water body. In this study, based on Landsat images, we calculated the normalized water index, and used the OTSU algorithm to determine the water extraction threshold, so as to produce a dataset of water boundaries of Hulun Lake from 1975 to 2018, spanning 38 periods. The overall accuracy of this dataset exceeds 99%. This dataset comprises a long time series of water boundaries, lake areas and other attribute information of Hulun Lake. It can provide basic data support for the assessment of lake temporal and spatial changes as well as lake water quantity changes. In addition, the dataset can support research on the relationship between water resources change, climate change and lake’s response. The extraction and monitoring of water boundary changes in Hulun Lake are of great significance to ecological environment protection and sustainable economic development.
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