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PAZ Ciencia: Review of the Scientific Results from Radar PAZ Mission Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: 30 August 2024 | Viewed by 1055

Special Issue Editors


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Guest Editor
Instituto de Geociencias IGEO (CSIC-UCM), Madrid, Spain
Interests: geodesy; InSAR; GNSS; deformation modeling; natural and anthropogenic hazards
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Instituto de Ciencias Marinas de Barcelona (CSIC) Passeig Marítim de la Barceloneta, 37-49, 08003 Barcelona, Spain
Interests: geophysical turbulence to physical oceanography; from image and signal processing to satellite remote sensing; from nonlinear physics to natural resources physical oceanography; image processing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Centro Espacial INTA Torrejón, Instituto Nacional de Técnica Aeroespacial (INTA) Cª de Ajalvir, km 4, 28850 Torrejón de Ardoz, Madrid, Spain
Interests: SAR; remote sensing; satellite remote sensing; space missions; ground segment

E-Mail Website
Guest Editor Assistant
Centro Espacial INTA Torrejón, Instituto Nacional de Técnica Aeroespacial (INTA) Cª de Ajalvir, km 4, 28850 Torrejón de Ardoz, Madrid, Spain
Interests: remote sensing; satellite remote sensing; space missions; ground segment; SAR performances; SAR calibration; SAR image formation

E-Mail Website
Guest Editor Assistant
Centro Espacial INTA Torrejón, Instituto Nacional de Técnica Aeroespacial (INTA) Cª de Ajalvir, km 4, 28850 Torrejón de Ardoz, Madrid, Spain
Interests: SAR; remote sensing; satellite imagery; geodesy; GNSS; maps and cartography

Special Issue Information

Dear Colleagues,

PAZ is the Spanish X-Band SAR mission, launched in 2018, that provides image products for commercial, security, defence and scientific purposes. The PAZ satellite was launched on February 22nd, 2018. After a successful LEOP and Commissioning Phase, the system was declared operational in September 2018; it is currently in the Routine Operations Phase with excellent radiometric and geometric performances. The PAZ mission is operated by HISDESAT, and its scientific use is managed by INTA (Spanish National Institute of Aerospace Technology) in the framework of PAZ Science Activities (PAZ Ciencia).

PAZ Science Activities fulfil INTA’s interest in fostering SAR science and technology, promoting the use of PAZ products for research purposes, including the development of new applications, methods or algorithms. By means of specific calls, INTA provides PAZ L1B products to research teams to be used for scientific research projects.

The aim of this Special Issue is to provide selected contributions that collect the first results obtained by PAZ Science research teams in the framework of the different PAZ Announcement of Opportunity.

Potential topics related to PAZ satellites include, but are not limited to: calibration; ground motion detection and monitoring with satellites; interferometry applications; soil surface moisture estimation; and the study of the unrest and eruption of La Palma.

SAR missions provide high-resolution, day and night and weather-independent images that are widely used for a multitude of applications covering change detection, monitoring, mapping, surveillance, geosciences, marine sciences, among others. Although SAR data and applications have been extensively used in recent decades, the scientific exploitation of SAR missions in general and of PAZ in particular allow research groups to expand the range of applications based on the use of products and to improve algorithms and methods.

Prof. Dr. José Fernández
Dr. Antonio Turiel
Guest Editors

María José González Bonilla
Juan Manuel Cuerda Muñoz
Nuria Casal Vázquez
Guest Editor Assistants

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • synthetic aperture radar
  • SAR interferometry
  • SAR polarimetry
  • ground deformation
  • land cover
  • geo-hazards
  • hidrology

Published Papers (1 paper)

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Research

20 pages, 7776 KiB  
Article
Oil Tank Detection and Recognition via Monogenic Signal
by Yunqing Fan, Junjun Yin and Jian Yang
Remote Sens. 2024, 16(4), 676; https://doi.org/10.3390/rs16040676 - 14 Feb 2024
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Abstract
With the rapid development of synthetic aperture radar (SAR) techniques, satellite systems’ capabilities to acquire information are continually improving. The PAZ satellite, with its high resolution and wide scanning swath, can provide high-quality data support for SAR applications. Oil tanks serve as energy [...] Read more.
With the rapid development of synthetic aperture radar (SAR) techniques, satellite systems’ capabilities to acquire information are continually improving. The PAZ satellite, with its high resolution and wide scanning swath, can provide high-quality data support for SAR applications. Oil tanks serve as energy storage devices, and their identification holds significant value in both military and civilian fields. Challenges in the detection and recognition of oil tanks using classical methods include poor detection, slow computation speed, and multiple windows of correct recognition. This paper centers on the analysis of oil tanks using PAZ data. We employ a sliding-window approach to acquire candidate target windows, process the windows through Weibull distribution modeling and hole filling, and extract target features using the monogenic signal based on regional L2 norm. The results demonstrate that the proposed method effectively improves the accuracy, and the model exhibits strong generalization ability and robustness. Full article
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