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Revista de Teledetección
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. The official publication languages are both, Spanish and English. The journal is open access and there are no charges for publication.
The original research papers follow an anonymous peer review process by at least two specialists from the national and international scientific community, proposed and co-ordinated by the Editorial board. This process warrantees the scientific quality of the contents. The journal (RAET) has the commitment to communicate the authors if the manuscript is accepted or refused within a deadline of three months.
Revista de Teledetección is the official Journal of the Spanish Association of Remote Sensing.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
No. 66 (2025): Continuous publication
Published: 2025-04-02
- Current number
- Most popular articles
Research articles
Band selection for hyperspectral image visualization and classification
- 65
- 37 downloads
Research articles
Comparing different models for fuel load estimation in rockrose shrubland in the Mediterranean region from LiDAR data
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Research articles
Fine-scale carbon stocks mapping in the mangrove forests of Tumaco, Colombia using machine learning and remote sensing approaches
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Research articles
Landsat Collection 2: Key Information and recommendations for data users and product developers
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Practical cases
Spatial-temporal assessment of Uaymil Protected Area conservation status using an ecosystem quality index from 2000-2023
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Practical cases
Baseflow measurement in mountain rivers using LSPIV: A case study of the Tarqui and Yanuncay rivers in the Ecuadorian Andes
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Practical cases
Model development for evaluating vineyard productivity and yield based on vegetation indices. Case study: Viña Arnaiz Winery
- 375
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Applying Multi-Index approach from Sentinel-2 Imagery to Extract Urban Area in dry season (Semi-Arid Land in North East Algeria)
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Practical cases
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Land cover classification with spatial resolution of 10 meters in forests of the Colombian Caribbean based on Sentinel 1 and 2 missions
- 1396
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PhenoApp. A Google Earth Engine based tool for monitoring phenology
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Classification of land use and land cover through machine learning algorithms: a literature review
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