Datasets

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 with 60 dates (06/07/2015 – 18/01/2018). These SDSs are an example of those extracted for the work “Cabezas-Rabadán et al., 2019”.

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 previously described by Pardo-Pascual et al., 2012 and Almonacid-Caballer, 2014. It used the SWIR1 band of Sentinel-2 imagery, fitting a third-degree polynomial on a 5×5 kernel with an estimated accuracy of 3.01 m RMSE.

Date format (YYYYMMDD). Reference system WGS84 UTM30N. Available formats .shp and .kmz.

Descriptive documents

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.

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., 2018a. Sistema para la extracción masiva de líneas de costa a partir de imágenes satélite de resolución media para la monitorización costera: SHOREX. XVIII Congreso TIG, 20–22 Jun., València, pp. 25–35.

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. 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, 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., (under review). An efficient protocol for accurate and massive shoreline definition from mid-resolution satellite imagery. Coastal Engineering.

Field inventory in the Sierra de Espadán measured by experts. This dataset was obtained to characterise vertical structure and estimate forest parameters. Circular plots of 5 m radius with GNSS-positioned trees and shrubs. Tree DBH with caliper; height and crown limits with Vertex. Shrub heights and crown diameters with tape measure.

Field inventory in the Sierra Calderona to characterise forest structure and estimate biophysical parameters using GNSS-located plots.

Point clouds acquired with a Faro Focus 120 TLS and processed in Trimble Real Works and Lastools to characterise forest structure in Espadán plots.

Point cloud dataset acquired with a Faro Focus 120 TLS to estimate forest parameters in Calderona plots using geo-referenced registrations.

Photogrammetric dataset from Agisoft Metashape (v1.8) used to classify plant species in the Sierra Calderona Natural Park.

Dataset of 40 km² in Espadán (Spain, Aug 2022) containing LAZ files, trajectory data and technical report of ALS (full-waveform).

Dataset of 40 km² in Espadán (Spain, Aug 2022) containing WDP files from ALS full-waveform data.

Dataset of 40 km² in Espadán (Spain, Aug 2022) containing discrete ALS data, trajectories and technical report.

Dataset of 20 km² in Calderona (Valencia, Spain, Aug 2022) including discrete and full-waveform ALS data with trajectories and technical report.

RGB and multispectral point clouds obtained by UAV photogrammetry over the Sierra Calderona Natural Park.

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.

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.