SDS
This dataset of Satellite-Derived Shorelines (SDSs) covers about 20 km of the Valencian coast (between the North of the Xuquer river and the Port of Gandia, Spanish Mediterranean) and is associated to 60 dates (06/07/2015 – 18/01/2018). These SDSs are an example of those extracted for the work “Cabezas-Rabadán, C., Pardo-Pascual, J. E., Palomar-Vázquez, J. M., & Fernández-Sarría, A. (2019). Characterizing beach changes using high-frequency Sentinel-2 derived shorelines on the Valencian coast (Spanish Mediterranean). Science of The Total Environment, 691, 216-231. doi: 10.1016/j.scitotenv.2019.07.084.”. If you use these data please mention the source.
The extraction process used the SHOREX system and the methodology described by Sánchez-García et al. (under review) and Palomar-Vázquez et al. (2018a, 2018b), sustained in the algorithm previosuly described by Pardo-Pascual et al., 2012 and Almonacid-Caballer, 2014. It used the SWIR1 band of the freely available Sentinel-2 imagery (Copernicus Open Access Hub), fitting a third-degree polynomial in order to detect on a 5×5 kernel the shoreline position with an estimated accuracy of 3.01m RMSE.
Date format (YYYYMMDD). Reference system: WGS84 UTM30N. Available formats: .shp and .kmz
>>Download<<
Descriptive documents:
Almonacid-Caballer, J., 2014. Obtención de líneas de costa con precisión sub-píxel a partir de imágenes Landsat (TM, ETM + y OLI). PhD thesis Universitat Politècnica de València, Valencia, (365 pp).
Palomar-Vázquez, J.M., Almonacid-Caballer, J., Pardo-Pascual, J.E., Cabezas-Rabadán, C., Fernández-Sarría, A., 2018a. Sistema para la extracción masiva de líneas de costa a partir de imágenes satélite de resolución media para la monitorización costera: SHOREX. Perspectivas multidisciplinares en la sociedad del conocimiento. XVIII Congreso de Tecnologías de la Información Geográfica, pp. 25-35, 20-22 Jun., València.
Palomar-Vázquez, J.M.,Almonacid-Caballer, J., Pardo-Pascual, J.E.,Sánchez-García, E., 2018b. SHOREX: a new tool for automatic and massive extraction of shorelines from Landsat and Sentinel 2 imagery. Proceedings of the 7th International Conference on the Application of Physical Modelling in Coastal and Port Engineering and Science (Coastlab18), 22-26 May, Santander.
Pardo-Pascual, J.E., Almonacid-Caballer, J., Ruiz, L.A., Palomar-Vázquez, J., 2012. Automatic extraction of shorelines from Landsat TM and ETM multi-temporal images with subpixel precision. Remote Sensing of Environment, 123, pp. 1-11. doi:10.1016/j.rse.2012.02.024
Sánchez-García, E., Palomar-Vázquez, J.M., Pardo-Pascual, J.E., Almonacid-Caballer, J., Cabezas-Rabadán, C., Gómez-Pujol, L. (under review). An efficient protocol for accurate and massive shoreline definition from mid-resolution satellite imagery. Coast. Eng.
RGB and multispectral point clouds of the Sierra Calderona Natural Park
This dataset contains RGB and multispectral point clouds of the Sierra Calderona Natural Park, obtained by UAV digital aerial photogrammetry.
>>Download<<
Descriptive documents:
Carbonell-Rivera, J. P., Estornell, J., Ruiz, L. A., Crespo-Peremarch, P., Almonacid-Caballer, J., Torralba, J., 2024. Class3Dp: A supervised classifier of vegetation species from point clouds. Environmental Modelling & Software, 171, 105859. Doi: https://doi.org/10.1016/j.envsoft.2023.105859
Carbonell-Rivera, J. P., Torralba, J., Estornell, J., Ruiz, L. A., Crespo-Peremarch, P., 2022. Classification of Mediterranean Shrub Species from UAV Point Clouds. Remote Sensing, 14 (1), 199. Doi:https://doi.org/10.3390/rs14010199