(GARS) laboratory,authorGlobal Aqua Remote Sensing (GARS) laboratory

Global Coastal Algal Bloom

Basic descriptions The Global Coastal Algal Bloom Dataset is derived from daily MODIS satellite images with a resolution of 1 km, totaling 0.76 million images globally, spanning the period from 2003 to 2020. It captures the occurrences of coastal blooms for 126 out of 153 ocean-bordering countries worldwide. Compared to prior global coastal phytoplankton datasets

Global gridded aerosol models for atmospheric correction

Basic descriptions The global gridded aerosol models constitute a comprehensive dataset integrating aerosol models on a spatial grid (5° × 5°) at a climatological monthly scale, encompassing a total of 3,207 new aerosol models. These models cover 310 grid cells across global inland and coastal regions, aiming to enhance the precision of atmospheric corrections for

Global Lake Algal Bloom

Basic descriptions This dataset provides maximum bloom extent (MBE, in km2) and median bloom occurrence (BO, in %) for 21,878 freshwater lakes worldwide in the entire period (1980s-2010s) and three sub-periods (1980–1990s, 2000s and 2010s), which was generated using Landsat satellite observation between 1982 to 2019. Data download The shapefiles are publicly available at this lab

China Lake Algal bloom

Basic descriptions The “China lake algal bloom” dataset describes the algal bloom conditions in 103 Chinese lakes affected by algal blooms over the past two decades (2003 to 2020). It is a dataset that includes annual scale data of algal bloom occurrence (BO), onset time (Onset), potential occurrence period (POP), and maximum bloom extent (MBE). The dataset was compiled

Ice Cover Occurrence (North Temperate Zone)

Basic descriptions The data set mainly includes the ice observation frequency (ICO) of north temperate lakes in four periods from 1985 to 2020, as well as the location, area and elevation of the lakes. Among them, the four time periods are 1985-1998 (P1), 1999-2006 (P2), 2007-2014 (P3) and 2015-2020 (P4) respectively, in order to improve

Global Lake Ice Phenology

Basic descriptions The global annual lake ice phenological dataset includes the freeze-up date, break-up date, and ice duration for 74,245 lakes in the northern hemisphere. The dataset is divided into three parts: 1) current data, obtained from MODIS productions through a DLRM model (with parameters provided), covering the period of 2001 to 2020; 2) historical and

Reclamation in Yangtze Plain lakes, China

Basic descriptions This dataset provides the extent of aquaculture areas, agricultural/urban land, and natural open water bodies in 112 large lakes within the middle and lower reaches of the Yangtze River basin, based on Landsat data from 1973 to 2018. The shapefiles for aquaculture areas, agricultural/urban land, and natural open water are available at every

Global Lake Surface Water Temperature

Basic descriptions The GLAST dataset is a comprehensive, high-temporal-resolution global lake surface temperature dataset, covering 92,245 lakes worldwide (with 36% located in the Arctic region) from 1981 to 2099. This dataset is generated through lake-specific calibrated simulations using the FLake model, with meteorological data as the driving force. The parameter calibration is achieved by using

China Lake Area

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

Global Coastal Nuclear Power Plant Thermal Plume

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