Version 1
: Received: 25 June 2024 / Approved: 26 June 2024 / Online: 26 June 2024 (10:57:15 CEST)
How to cite:
Pan, F. Accuracy Assessment of Estimated River Water Surface Elevations from Landsat 8 and 9 Imagery among Twenty Water Indices. Preprints2024, 2024061856. https://doi.org/10.20944/preprints202406.1856.v1
Pan, F. Accuracy Assessment of Estimated River Water Surface Elevations from Landsat 8 and 9 Imagery among Twenty Water Indices. Preprints 2024, 2024061856. https://doi.org/10.20944/preprints202406.1856.v1
Pan, F. Accuracy Assessment of Estimated River Water Surface Elevations from Landsat 8 and 9 Imagery among Twenty Water Indices. Preprints2024, 2024061856. https://doi.org/10.20944/preprints202406.1856.v1
APA Style
Pan, F. (2024). Accuracy Assessment of Estimated River Water Surface Elevations from Landsat 8 and 9 Imagery among Twenty Water Indices. Preprints. https://doi.org/10.20944/preprints202406.1856.v1
Chicago/Turabian Style
Pan, F. 2024 "Accuracy Assessment of Estimated River Water Surface Elevations from Landsat 8 and 9 Imagery among Twenty Water Indices" Preprints. https://doi.org/10.20944/preprints202406.1856.v1
Abstract
A method for estimating river water surface elevation (WSE) from Landsat imagery using the river inundation area - water surface elevation (RIA-WSE) rating curve constructed from the U.S. Geological Survey Topobathymetric Elevation Model (TEM) data was developed and tested at six gauging stations along the upper Mississippi River. The Otsu's automatic threshold selection algorithm was employed for the image classification and estimation of inundation areas within each pre-defined polygon around each gauging station. In addition to the commonly used green-band based water indices, Landsat 8 and 9 OLI's ultra-blue, blue, and red band-based water indices were also tested in this study, which resulted in twenty different water indices: NDWIv (Normalized Difference Water Index), MNDWI1v and MNDWI2v (Modified Normalized Difference Water Index), AWEIsv (Automatic Water Extraction Index with shadow), and AWEInsv (AWEI without shadow), where v represents the visible light band used in the water index. At each station, about 60-80 Landsat 8 or 9 images during 2013-2023 were used for assessing the performances of the twenty water indices through comparing the estimated WSEs with the measured WSEs. Results showed that the ultra-blue or red band-based AWEIs yielded the most accurate estimations of WSEs among the twenty tested water indices.
Keywords
river water surface elevation; topobathymetric elevation model (TEM); river inundation area-water surface elevation (RIA-WSE) rating curve; Landsat; satellite image classification; the Otsu method; water index; bilinear and cubic resampling methods
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
