1,720,975 research outputs found
RETRACTED: He et al. The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China. Remote Sens. 2020, 12, 370
The Remote Sensing Editorial Office has been made aware that the published paper [...
Erratum: Kromer, R.A.; et al. A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner. Remote Sensing 2015, 7, 13029–13052
The Remote Sensing Editorial Office wishes to make the following erratum to this paper [1]. [...
Correction: Li et al. Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information. Remote Sens. 2021, 13, 3474
In the original article [...
Acknowledgement to Reviewers of Remote Sensing in 2019
The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not.[...
Acknowledgment to the Reviewers of Remote Sensing in 2022
High-quality academic publishing is built on rigorous peer review [...
Acknowledgment to Reviewers of Remote Sensing in 2020
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Remote Sensing maintains its standards for the high quality of its published papers [...
Correction: Lee, J.H.; Lindenschmidt, K.-E. Bias-Corrected RADARSAT-2 Soil Moisture Dynamics Reveal Discharge Hysteresis at an Agricultural Watershed. Remote Sens. 2023, 15, 2677
There was an error in the original publication [...
Correction: De Angeli et al. Newly Developed Tool for the Post-Processing of GPR Time-Slices in a GIS Environment. Remote Sens. 2022, 14, 3459
There was an error in the original publication [...
Acknowledgement to Reviewers of Remote Sensing in 2016
The editors of Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2016.[...
Acknowledgement to Reviewers of Remote Sensing in 2017
Peer review is an essential part in the publication process, ensuring that Remote Sensing maintains high quality standards for its published papers.[...
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