Decision: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R1/PR9

Опубликована: Ноя. 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.

Язык: Английский

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Recommendation: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R1/PR8

Опубликована: Ноя. 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.

Язык: Английский

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Author comment: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R1/PR7

Опубликована: Окт. 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.

Язык: Английский

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Decision: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR6

Опубликована: Июль 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.

Язык: Английский

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Recommendation: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR5

Опубликована: Июль 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.

Язык: Английский

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Review: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR4

Опубликована: Июль 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.

Язык: Английский

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Review: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR3

Опубликована: Июнь 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.

Язык: Английский

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Review: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR2

Опубликована: Июнь 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.

Язык: Английский

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

Опубликована: Май 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.

Язык: Английский

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