References

Satellite References

These datasets and publications support CoastSeg, which leverages Landsat and Sentinel imagery to generate satellite‑derived shorelines (SDS).

• Earth Resources Observation and Science (EROS) Center. (2020). Landsat 4-5 Thematic Mapper Level-2, Collection 2 [dataset]. U.S. Geological Survey. https://doi.org/10.5066/P9IAXOVV

• Earth Resources Observation and Science (EROS) Center. (2020). Landsat 7 Enhanced Thematic Mapper Plus Level-2, Collection 2 [dataset]. U.S. Geological Survey. https://doi.org/10.5066/P9C7I13B

• Earth Resources Observation and Science (EROS) Center. (2020). Landsat 8-9 Operational Land Imager / Thermal Infrared Sensor Level-1, Collection 2 [dataset]. U.S. Geological Survey. https://doi.org/10.5066/P975CC9B

• Crawford, C.J., Roy, D.P., Arab, S., Barnes, C., Vermote, E., Hulley, G., Gerace, A., Choate, M., Engebretson, C., Micijevic, E., & Schmidt, G. (2023). The 50-year Landsat collection 2 archive. Science of Remote Sensing, 8, 100103.

• For Sentinel 1: https://dataspace.copernicus.eu/data-collections/sentinel-data/sentinel-1

• For Sentinel 2: https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2

Model and Methodology Publications

These publications support CoastSeg and explain software documentations

• Fitzpatrick et al. (2024). CoastSeg: an accessible and extendable hub for satellite-derived-shoreline (SDS) detection and mapping. Journal of Open Source Software, 9(99), 6683. https://doi.org/10.21105/joss.06683

Data Releases

These datasets are incorporated into CoastSeg

Segmentation Gym

• Segmentation Gym: Buscombe, D., & Goldstein, E. B. (2022). A reproducible and reusable pipeline for segmentation of geoscientific imagery. Earth and Space Science, 9, e2022EA002332. https://doi.org/10.1029/2022EA002332

• Buscombe, Daniel. (2022). Images and 2-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, other) (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7384263

• Wernette, P.A., Buscombe, D.D., Favela, J., Fitzpatrick, S., and Goldstein E., 2022, Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation: U.S. Geological Survey data release, https://doi.org/10.5066/P91NP87I See https://coasttrain.github.io/CoastTrain/ for more information

• Buscombe, Daniel. (2023). June 2023 Supplement Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, whitewater, sediment, other) (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8011926

• Buscombe, Daniel, Goldstein, Evan, Bernier, Julie, Bosse, Stephen, Colacicco, Rosa, Corak, Nick, Fitzpatrick, Sharon, del Jesús González Guillén, Anais, Ku, Venus, Paprocki, Julie, Platt, Lindsay, Steele, Bethel, Wright, Kyle, & Yasin, Brandon. (2022). Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB satellite images of coasts (water, whitewater, sediment, other) (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7335647

Transect and Slope Data

• Buscombe, D., & Fitzpatrick, S. (2023). CoastSeg: Beach transects and beachface slope database v1.0 (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8187949

Beach face slope and transect data have been derived from

• Doran, K.S., Long, J.W., Birchler, J.J., Brenner, O.T., Hardy, M.W., Morgan, K.L.M, Stockdon, H.F., and Torres, M.L., 2017, Lidar-derived beach morphology (dune crest, dune toe, and shoreline) for U.S. sandy coastlines (ver. 4.0, October 2020): U.S. Geological Survey data release, https://doi.org/10.5066/F7GF0S0Z.

• Kilian Vos. (2023). Time-series of shoreline change along the Pacific Rim (v1.4) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7758183

• Andrew Short. (2022). Sediment size dataset for Australia [Data set]. In Australian Coastal Systems (0.1, p. XXV, 1241). Springer Cham. https://doi.org/10.5281/zenodo.7127186

• Vos, Kilian, Wen, Deng, Harley, Mitchell D., Turner, Ian L., & Splinter, Kristen D. (2022). Beach-face slope dataset for Australia (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7272538

• Gibbs, A.E., Ohman, K.A., Coppersmith, R., and Richmond, B.M., 2017, National Assessment of Shoreline Change: A GIS compilation of updated vector shorelines and associated shoreline change data for the north coast of Alaska, U.S. Canadian border to Icy Cape: U.S. Geological Survey data release, https://doi.org/10.5066/F72Z13N1.

• Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010-1119, available at https://pubs.usgs.gov/of/2010/1119/.

• Snyder, A.G., and Gibbs, A.E., 2019, National assessment of shoreline change: A GIS compilation of updated vector shorelines and associated shoreline change data for the north coast of Alaska, Icy Cape to Cape Prince of Wales: U.S. Geological Survey data release, https://doi.org/10.5066/P9H1S1PV

• Romine, B.M., Fletcher, C.H., Genz, A.S., Barbee, M.M., Dyer, Matthew, Anderson, T.R., Lim, S.C., Vitousek, Sean, Bochicchio, Christopher, and Richmond, B.M., 2012, National Assessment of Shoreline Change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of Kauai, Oahu, and Maui, Hawaii: U.S. Geological Survey Open-File Report 2011-1009, available online at https://pubs.usgs.gov/of/2011/1009/.

• Gibbs, A.E., Jones, B.M., and Richmond, B.M., 2020, A GIS compilation of vector shorelines and coastal bluff edge positions, and associated rate-of-change data for Barter Island, Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/P9CRBC5I.

• Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics–Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.

Labeled imagery

• Buscombe, D., Lundine, M.A., Janda, C.N., and Batiste, S., 2025, Labeled satellite imagery for training machine learning semantic segmentation models of coastal shorelines: U.S. Geological Survey data release, https://doi.org/10.5066/P13EOBZQ

• Buscombe, D., Lundine, M.A., Janda, C.N., and Batiste, S., 2025, Labeled satellite imagery for training machine learning models that predict the suitability of imagery for shoreline extraction, U.S. Geological Survey data release, https://doi.org/10.5066/P14MDKVJ

• Buscombe, D., Lundine, M.A., Batiste, S., and Janda, C.N., 2025, Labeled satellite imagery for training machine learning models that predict the suitability of semantic segmentation model outputs for shoreline extraction: U.S. Geological Survey data release,https://doi.org/10.5066/P1N4VI7H

Scicence Associated with CoastSeg

These publications and datasets have been published using CoastSeg

Publications

• Janda, C.N., Warrick, J.A., Buscombe, D., and Batiste, S., 2025, Shoreline Change of Western Long Island, New York, from Satellite-Derived Shorelines. Coasts 2025, 5, 2. https://doi.org/10.3390/coasts5010002

Data Releases

• Janda, C.N., Warrick, J.A., Buscombe, D., and Batiste, S., 2025, Shoreline Change of Western Long Island, New York from Satellite Derived Shorelines: U.S. Geological Survey data release, https://doi.org/10.5066/P14VFVGZ

• Buscombe, D., Burgess, J., Doran, K., Batiste, S., Gibbs, A., Henderson, R., Heslin, J., Janda, C., Lundine, M., O'Neill, A., Terrano, J., Warrick, J., and Weber, K., 2025, Satellite-derived shorelines from CoastSeg in multiple U.S. locations (1984-2023): U.S. Geological Survey data release, https://doi.org/10.5066/P1NUEFDP