A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm

By Min Feng, Joseph O. Sexton, Saurabh Channan, John R. Townshend. International Journal of Digital Earth, 2016

330 citations recorded by the source corpus.

The science and management of terrestrial ecosystems require accurate, high-resolution mapping of surface water. We produced a global, 30-m-resolution inland surface water dataset with an automated algorithm using Landsat-based surface reflectance estimates, multispectral water and vegetation indices, terrain metrics, and prior coarse-resolution water masks. The dataset identified 3,650,723 km2 of inland water globally – nearly three quarters of which was located in North America (40.65%) and Asia (32.77%), followed by Europe (9.64%), Africa (8.47%), South America (6.91%), and Oceania (1.57%). Boreal forests contained the largest portion of terrestrial surface water (25.03% of the global total), followed by the nominal ‘inland water’ biome (16.36%), tundra (15.67%), and temperate broadleaf and mixed forests (13.91%). Agreement with respect to the Moderate-resolution Imaging Spectroradiometer water mask and Landsat-based national land-cover datasets was very high, with commission errors <4% and omission errors <14% relative to each. Most of these were accounted for in the seasonality of water cover, snow and ice, and clouds – effects which were compounded by differences in image acquisition date relative to reference datasets. The Global Land Cover Facility (GLCF) inland surface water dataset is available for open access at the GLCF website (http://www.landcover.org).

Subfields: Environmental Engineering, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/4f436967a868ee189763c2ffb91d75d44e2d6cef

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Citations in the corpus

Current status of Landsat program, science, and applications (2019, background): “…area variability (Sheng et al., 2016); to produce global inventories for specific years of lakes (Verpoorter et al., 2014) and all surface water (Feng et al., 2016); to map and separate permanent and seasonal water surfaces at 5 to 10 year intervals globally (Yamazaki et al., 2015); and to show…”
A Review of Wetland Remote Sensing (2017, unknown): “[182] produced a global dataset of surface water at 30 m resolution based on 8756 Landsat data and found the inland water area is 3,650,723 km2.”
A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies (2018, background): “, 2016), Global Inland Water Body circa 2000 (Feng et al., 2015), and Global Cropland Extent 2015 (Teluguntla et al.”