Preliminary Results of Satellite-Derived Nearshore Bathymetry

Autor: Ausiàs Roch-Talens, Josep Eliseu Pardo-Pascual, Jaime Almonacid-Caballer

Publikováno v: Environmental Sciences Proceedings, Vol 28, Iss 1, p 28 (2024)

This article presents the preliminary results of a study on satellite-derived bathymetry. The purpose of this research is to explore the use of remote sensing and optical imagery for mapping the depth of coastal waters. This study uses empirical mode

Externí odkaz: https://doaj.org/article/640b4bb66d4a45af87aa2d6e955875f1

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

Autor: Jesús Palomar-Vázquez, Josep E. Pardo-Pascual, Jaime Almonacid-Caballer, Carlos Cabezas-Rabadán

Publikováno v: Remote Sensing, Vol 15, Iss 12, p 3198 (2023)

SAET (Shoreline Analysis and Extraction Tool) is a novel open-source tool to enable the completely automatic detection of shoreline position changes using the optical imagery acquired by the Sentinel-2 and Landsat 8 and 9 satellites. SAET has been de

Externí odkaz: https://doaj.org/article/1d7135e16cf440a59b0e5cc281653bb8

Evaluating Fourier Cross-Correlation Sub-Pixel Registration in Landsat Images

Autor: Jaime Almonacid-Caballer, Josep E. Pardo-Pascual, Luis A. Ruiz

Publikováno v: Remote Sensing, Vol 9, Iss 10, p 1051 (2017)

Multi-temporal analysis is one of the main applications of remote sensing, and Landsat imagery has been one of the main resources for many years. However, the moderate spatial resolution (30 m) restricts their use for high precision applications. In

Externí odkaz: https://doaj.org/article/feb6328f0b6347028113c2282f0093dc

AUTOMATED CLASSIFICATION OF CROP TYPES AND CONDITION IN A MEDITERRANEAN AREA USING A FINE-TUNED CONVOLUTIONAL NEURAL NETWORK

Autor: Jaime Almonacid-Caballer, Josep E. Pardo-Pascual, Luis A. Ruiz, Pablo Crespo-Peremarch, J. A. Recio, Elena Sánchez-García

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1061-1068 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Crop classification based on satellite and aerial imagery is a recurrent application in remote sensing. It has been used as input for creating and updating agricultural inventories, yield prediction and land management. In the context of the Com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f25bed2469eb1a16a3cdfa210d64831c
https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1061-2020

Satellite-derived shorelines extracted using SAET for characterizing the effect of Storm Gloria in the Ebro Delta (W Mediterranean)

Autor: Josep E. Pardo-Pascual, Carlos Cabezas-Rabadán, Jesús Palomar-Vázquez, Alfonso Fernández-Sarría, Jaime Almonacid-Caballer, Paola Emilia Souto-Ceccon, Juan Montes, Clara Armaroli, Paolo Ciavola

Publikováno v: EGU General Assembly 2022

Coastal storms constitute a key factor controlling shoreline position changes. They may deeply modify the beach morphology and contribute to erosive processes. Earth observation data as the images from the Sentinel satellites of ESA's Copernicus prog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::403d5f2d5471241f75f092dacb369886