!!! "Turkish Journal of Remote Sensing - TJRS" is indexed in SCOPUS and TR Dizin. All articles published since 2020 are indexed in SCOPUS, and as of 2024, in TR Dizin.
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Turkish Journal of Remote Sensing (Turk. J. Remote Sens.) is an international, open-access, and peer-reviewed scientific journal that regularly publishes research papers and reviews. It covers all areas of Remote Sensing Science, including Unmanned Aerial Vehicle (UAV), Geographic Information Systems (GIS), and its applications in geosciences, environmental sciences, ecology, and climate change. The journal also welcomes studies on Image Processing, Artificial Intelligence (AI), Machine Learning, Deep Learning, and Computer Vision applications related to remote sensing, particularly in automation, pattern recognition, and data analysis for geospatial and environmental research.
ANNOUNCEMENT (04.03.2025)
Dear Authors,
We sincerely appreciate your interest and contributions to our journal. Thanks to your valuable submissions, the Turkish Journal of Remote Sensing has continuously evolved. As part of our efforts to enhance international accessibility and visibility, we have decided to publish all articles exclusively in English starting from the second issue of 2025.
Therefore, all manuscript submissions are now expected to be in English. We invite all researchers to submit their scientific studies in the field of remote sensing and related disciplines to our journal.
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The Journal accepts manuscripts in English and is published twice a year, in June and December in an online format.
The Turkish Journal of Remote Sensing is indexed in international databases.
This journal does not charge any article submission and processing fees
All authors must get an ORCID ID from https://orcid.org/register .
Copyright / Open Access;
Articles published in Turkish Journal of Remote Sensing will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution-Sharealike International License (CC BY-SA).
Research Article
Evaluating coastal erosion vulnerability of Cox's Bazar coastline using Analytic Hierarchy Process (AHP) and GIS techniqueReview Article
Deformation Analysis of Embankment Dam Using Field Survey and Multisensor InSAR Time-Series: A Case Study of Mosul Dam, IraqResearch Article
Aerial Imagery Analysis using Deep Learning and Adaptive Histogram EqualizationResearch Article
Visualization of M3C2 Outputs Obtained From an Open Pit Mine FieldResearch Article
Integrating Remote Sensing and Machine Learning for Methane Emission Prediction in KonyaResearch Article
Comparative analysis of the temporal and spatial changes in land use in Kozan (Adana) countyResearch Article
Land use and land cover mapping in the Kenitra Region (2017–2024) using Sentinel-2 imagery, GIS and Machine Learning on Google Earth EngineResearch Article
Bridging Terrain Gaps in Sudan’s Mining Regions: A Novel Neural Network Approach for DEM Prediction Against Classical InterpolatorsResearch Article
Multiple Linear Regression (MLR) Models For PM2.5 Concentration Forecasting In Greater Klang Valley