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

Global River Ice Phenology

Basic description The Global River Ice Phenology (GRIP) data is organized into three distinct tables. These tables document the annual freeze-up date, break-up date, and ice duration for 7,970 examined river segments determined by IDLRM from 2000 to 2021 in the study. The first column “river_id” is associated with unique identifiers for rivers in the

Global Inland and Coastal Dike-pond Systems

Basic descriptions This dataset presents the first global vector database of inland and coastal dike-pond systems, capturing the maximum extent of global dike-pond systems from 1984 to 2020, as well as vector data for three distinct periods (1984-2000, 2001-2010, and 2011-2020). Produced using 30-meter resolution Landsat products and a deep learning model, this dataset features

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