Revista de Teledeteccion

Aims & Scope

Spanish Journal of Remote Sensing / Revista de Teledetección (RAET) is a biannual scientific journal that publishes original research papers related to a wide range of methods and applications in remote sensing.

A section is devoted to Practical cases describing experiences where remote sensing is used to develop land and territory management projects, missions, sensors or ground segments.

Additionally, book reviews, programmes and teaching materials related to remote sensing applications and methods, and doctoral thesis summaries are included.

Revista de Teledetección has been continuously published since 1993, and represents the official publication of the Spanish Association of Remote Sensing, being a reference in the context of new developments and applications of this technology.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences and Social Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Earth and Planetary Sciences and Social Sciences, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Copernicus: the European Earth Observation programme

  Citation: 28

  Authors: S., M.P.

• A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models

  Citation: 25

  Authors: J. C., W. B.

• Applying Multi-Index approach from Sentinel-2 Imagery to Extract Urban Area in dry season (Semi-Arid Land in North East Algeria)

  Citation: 25

  Authors: K., M.

• Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods

  Citation: 20

  Authors: R., M., P.

• Estimación de variables de combustible de copa y de masa, caracterizando el efecto de las claras en su estructura usando LiDAR aerotransportado

  Citation: 20

  Authors: A., J. G., E., C., A. D., J., E.

• Clasificación de usos del suelo a partir de imágenes Sentinel-2

  Citation: 20

  Authors: J., J., A., M., G., G.

• Estudio de la severidad post-incendio en la Comunidad Valenciana comparando los índices dNBR, RdNBR y RBR a partir de imágenes Landsat 8

  Citation: 18

  Authors: M. A., A.

• Potencial de las imágenes UAV como datos de verdad terreno para la clasificación de la severidad de quema de imágenes Landsat: aproximaciones a un producto útil para la gestión post incendio

  Citation: 17

  Authors: M., A., L.

• Ajuste de metodologías para evaluar severidad de quemado en zonas semiáridas (SE peninsular): incendio Donceles 2012

  Citation: 15

  Authors: E., J., M., D.

• Using low density LiDAR data to map Mediterranean forest characteristics by means of an area-based approach and height threshold analysis

  Citation: 15

  Authors: J., M., E.