Global 8-day/250-m surface water extent dynamics from 2000 to 2020 (GSWED250_2000-2020)

Dataset Overview

This product is designed to monitor the open surface water (called " surface water ") where the land surface is not blocked by vegetation and not frozen, including all types of water bodies such as rivers with a width greater than 250 meters and lakes and reservoirs with a surface area greater than 0.0625 Square kilometers. With the high temporal resolution (8-day), this product can be used to accurately reflect changes in the distribution of surface water over time (called “water dynamics“). The product was generated based on the remote sensing vegetation index threshold method, in combination with multi-source remote sensing data (Han & Niu, 2020). The source data used to generate the product include MODIS-related data (MOD44W, MOD09Q1, MOD09A1, MOD13Q1, and MOD11A2) and topographic data (SRTM and GTOPO30).The GSWED was validated by using 8687 spatially and temporally random water samples, with an overall accuracy of 96%. Land surface water dynamics is one of the most important indicators of changes in water resources. Accurate determination of land surface water dynamics is important for understanding the characteristics of the Earth system water cycle and its response to climate change and human activities. Such data products have important application values for water resources management.

Dataset Details

Spatial Resolution: 250 m

Time Resolution: 8-day

Product Number: XDA19090120_030

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

Created By: Qianqian Han; Zhenguo Niu

Creation Date: 2023-03-22T05:41:16.774Z

File Size: 42

Data Format: GeoTiff

Type Of Data: grid

Data Label:

Naming Convention

This product uses the WGS84 geographic coordinate system and longitude and latitude projection (EPSG: 4326). Data are stored in GeoTIFF format. Each annual product contains 807 spatial tile files, each tile file having a spatial extent of 5° ×5° latitude and longitude. Each tile file has 955 layers (bands), with a value of 1 for water bodies, 3 for snow/ice, 4 for land, 5 for mountain shadows, and 6 for clouds.

Paper Citation

Qianqian Han, Zhenguo Niu. 2020. Construction of the Long-Term Global Surface Water Extent Dataset Based on Water-NDVI Spatio-Temporal Parameter Set. Remote Sensing, 12, 2675.

Data Citation

Zhenguo Niu, Qianqian Han. Global 8-day/250-m surface water extent dynamics from 2000 to 2020 (GSWED250_2000-2020), Beijing: International Research Center of Big Data for Sustainable Development Goals (CBAS), 2023. doi: 10.12237/casearth.640f00f4819aec3f2b

Data Licence Agreement

Users of this data product shall clearly indicate the source and the authors of "Global 8-day/250-m surface water extent dynamics from 2000 to 2020" 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.