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Remote Sensing 2022 Best Paper Award
We are pleased to announce the winners of the Remote Sensing 2022 Best Paper Award. All research and review articles published from 1 January 2020 to 31 December 2020 in Remote Sensing were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, the 5 winning papers, which were nominated by the Associate Editor, Prof. Dr. Jon Atli Benediktsson, have been selected.
Current Practices in UAS-based Environmental Monitoring
By Goran Tmušić et al.
Remote Sens. 2020, 12(6), 1001; doi:10.3390/rs12061001
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges
By Wenzhong Shi et al.
Remote Sens. 2020, 12(10), 1688; doi:10.3390/rs12101688
Three Research Articles:
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
By Hao Chen et al.
Remote Sens. 2020, 12(10), 1662; doi:10.3390/rs12101662
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
By Nikhil Prakash et al.
Remote Sens. 2020, 12(3), 346; doi:10.3390/rs12030346
LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
By Yu Morishita et al.
Remote Sens. 2020, 12(3), 424; doi:10.3390/rs12030424
Each winner (corresponding author) will receive 500 CHF and a chance to publish a paper in Remote Sensing in 2022. Each winner will also receive a certificate.
On behalf of the assessment committee, I would like to congratulate the winners on their accomplishments. We would also like to take this opportunity to thank all the nominated research groups of the above exceptional papers for their contributions to Remote Sensing and the Award Committee for voting and helping with this award.
Prof. Dr. Jon Atli Benediktsson, Remote Sensing