A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements.

ABSTRACT: Spatiotemporal mapping of surface water extent constitutes a valuable dataset for the management of water resources, the monitoring of flood- and drought-affected areas, and the conservation of wetlands and freshwater ecosystems. Surface water indices, derived from optical satellite data, serve as effective indicators for estimating surface water coverage. However, global-scale datasets featuring high-resolution surface water mapping using multiple water indices remain scarce and constrained in temporal and spatial scope. Here, we present monthly surface-water maps derived from three water indices, Normalized Difference Water Index (NDWI), Modified NDWI (MNDWI), and Water Index 2015 (WI2015), utilizing high-resolution earth observation satellite data from Landsat-8 and Sentinel-2 for the p

SUBMITTER: Miura Y 

PROVIDER: S-EPMC12271537 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature