Global 250-m algal bloom frequency of large lakes from 2000 to 2021 (ABGL250_2000-2021)

Dataset Overview

The algal bloom defined in this product refers to the phenomenon of excessive growth of algae and the formation of algal scums on the water surface, which is expressed by the algal bloom frequency (unit: percentage). The algal bloom frequency refers to the ratio of the number of times identified as an algal bloom to the number of valid observations per year in each pixel. Algal blooms have a major impact on the lake water quality and the safety of drinking water for local communities. This product used MODIS-related data （MOD09GA、MOD09GQ、MOD10A1、MOD11A1） as data sources. After removing ice, turbid waters and aquatic vegetation areas by combining auxiliary data, the Floating Algae Index (FAI) was calculated for each pixel in the lake. The FAI threshold for algal bloom extraction was derived using the maximum gradient method to obtain the daily algal bloom extent in the lake. The ratio of the number of times identified as an algal bloom to the number of valid observations per year in each pixel was calculated to obtain this product.

Dataset Details

Download

Spatial Resolution: 250 m

Time Resolution: Annual

Product Number: XDA19090120_031

Create Institution: International Research Center of Big Data for Sustainable Development Goals

Created By: Jinge Ma, Hongtao Duan

Creation Date: 2023-03-22T05:41:16.786Z

File Size: 1

Data Format: GeoTiff

Type Of Data: grid

Data Label:

Algal bloom

Large lakes

Remote sensing

Naming Convention

This product uses the WGS84 geographic coordinate system and latitude/longitude projection (EPSG: 4326). There are 22 files in total, each file containing 1 layer (band) corresponding to 1 year of data. The value in each pixel represents the ratio of the number of times is identified as an algal bloom to the number of valid observations per year in each pixel, in percentage (%) as the unit.

Paper Citation

Hongtao Duan, Ronghua Ma, Xiaofeng Xu, et al. 2009. Two-decade reconstruction of algal blooms in China's Lake Taihu. Environmental Science & Technology, 43(10), 3522-3528. doi: 10.1021/es8031852. PMID: 19544849

Jinge Ma, He Feng, Tianci Qi, et al. 2022. Thirty-Four-Year Record (1987–2021) of the Spatiotemporal Dynamics of Algal Blooms in Lake Dianchi from Multi-Source Remote Sensing Insights. Remote Sensing, 14(16), 4000. https://doi.org/10.3390/rs14164000

Chuanmin Hu. 2009. A novel ocean color index to detect floating algae in the global oceans. Remote Sensing of Environment, 113(10), 2118-2129. https://doi.org/10.1016/j.rse.2009.05.012

Qichun Liang, Yuchao Zhang, Ronghua Ma, et al. 2017. A MODIS-based novel method to distinguish surface cyanobacterial scums and aquatic macrophytes in Lake Taihu. Remote Sensing, 9(2), 133. https://doi.org/10.3390/rs9020133

Data Citation

Hongtao Duan, Jinge Ma. Global 250-m algal bloom frequency of large lakes from 2000 to 2021 (ABGL250_2000-2021), Beijing: International Research Center of Big Data for Sustainable Development Goals (CBAS), 2023. doi: 10.12237/casearth.640f00fd819aec3f2b52a4a1

Data Licence Agreement

Users of this data product shall clearly indicate the source and the authors of "Global 250-m algal bloom frequency of large lakes from 2000 to 2021" in all forms of their research output (including, but not limited to, published and unpublished papers/reports, theses, monographs, data products, and other academic output) generated by using this data product, and shall cite the corresponding references. The data producers shall not be liable for any loss arising from the use of this data product. The boundaries and masks used in the maps do not represent an official opinion or endorsement by the data producers.