Atlas of Mineral Deposits Distribution in China (2020)

This open access book includes instruction of national mineral database 2020 and atlas of national mineral deposits distribution derived from national mineral database 2020. National mineral database 2020 is based on data from National Geological Archives China(NGAC). Moreover, it introduces the construction method and updates maintenance mechanism of the mineral deposits database and proposes the concept of updating data based on collected archives. The construction guideline on national mineral deposits database provides guiding framework for the future development on geological database

Lake ice thickness of the Northern Hemisphere based on remote sensing and lake ice modeling for 2002-2019 and 2091-2099

This dataset consist of three products including: (1) Lake ice thickness of 11 large lakes measured by satellite altimeters for 2002-2019; (2) Lake ice thickness and lake surface snow depth of 1260 lakes with an area > 50 km2 in the Northern Hemisphere modeled by a one-dimensional remote sensing lake ice model for 2003-2018; (3) Future lake ice thickness and surface snow depth for 2091-2099 modeled by the lake ice model with a modified ice growth module. This daily lake ice and snow thickness dataset could provide a benchmark for the estimation of global lake ice and snow mass, thereby improving our understanding of the ecological and economical significance of fresh water ice as well as its response to climate change

A high temporal resolution lake data set from multisource altimetric missions and Landsat archives of water level and storage changes on the Tibetan Plateau during 2000‒2017

The Tibetan Plateau (TP), known as the Earth Third Pole and Asia's water towers providing freshwater for a billion people in Asia, is quite sensitive to climate change, which can be reflected by changes in some hydrological state variables such as lake water storage. Due to the harsh environment and complex terrain, in situ measurements of lake water storage changes are extremely limited, whereas great efforts have been made to combine multisource remote sensing data to reveal variations in lake water level, water extent, and storage. The lack of consistency in water level observations due to the intervals between different satellite altimetry missions and the inaccuracy in trend estimation due to the low sampling frequency remain unsolved. This developed data set provides water level, hypsometric curves, and lake storage changes for 52 large lakes across the TP from 2000 to 2017, comprising traditional altimetry water levels and a unique source of information termed as the optical water levels derived from tremendous amounts of Landsat archives using Google Earth Engine. Optical water levels facilitate removal of the systematical bias between altimetry-derived water levels from different sources, as well as largely increase the sampling frequency and consequently improve the temporal resolution to monthly or even finer in some relatively small lakes. This data set and associated approaches are valuable for performing monthly, seasonal, interannual, and trend analyses of lake level and storage and short-term monitoring of lake overflow and flooding disasters on the Tibetan Plateau