Author comment: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR1 DOI Creative Commons
Marcan Graffin

Published: May 22, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Decision: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R1/PR9 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: Nov. 14, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Recommendation: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R1/PR8 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: Nov. 13, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Author comment: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R1/PR7 DOI Creative Commons
Marcan Graffin

Published: Oct. 25, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Decision: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR6 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: July 15, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Recommendation: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR5 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: July 14, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Review: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR4 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: July 8, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Review: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR3 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: June 15, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Review: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR2 DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

et al.

Published: June 2, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0
Author comment: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR1 DOI Creative Commons
Marcan Graffin

Published: May 22, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Language: Английский

Citations

0