Remote Sensing, Journal Year: 2024, Volume and Issue: 16(17), P. 3329 - 3329
Published: Sept. 8, 2024
Long revisit intervals and cloud susceptibility have restricted the applicability of earth observation satellites in surface water studies. Integrating multiple offers potential for more frequent observations, yet combining different satellite sources, particularly optical SAR satellites, presents complexities. This research explores data-fusion limitations Landsat-8/9 Operational Land Imager (OLI), Sentinel-2 Multispectral Instrument (MSI), Sentinel-1 Synthetic Aperture (SAR) to enhance monitoring. By focusing on segmented images, we demonstrate that data is generally effective straightforward using a simple statistical thresholding algorithm. Kappa coefficients(κ) ranging from 0.80 0.95 indicate very strong harmony integration across reservoirs, lakes, river environments. In vegetative environments, with S1SAR shows weak harmony, κ values 0.27 0.45, indicating need further Global interval maps reveal significant improvement median 15.87 22.81 days L8/9 alone, 4.51 7.77 after incorporating S2, 3.48 4.62 adding S1SAR. Even during wet season months, multi-satellite fusion maintained less than week. Maximizing all available open-source integral advancing studies requiring such as flood, inundation, hydrological modeling.
Language: Английский