Remote Sensing Best Paper Award—Winners Announced

The Remote Sensing Best Paper Award for papers published in 2024 has been presented to the following articles, selected by a committee chaired by the Editor-in-Chief, Prof. Dr. Dongdong Wang. Following a review process conducted by the Award Evaluation Committee, five winners were chosen.

First Prize: CHF 1000 and a voucher to waive the Article Processing Charges (APCs) for one submission (review or research article) in Remote Sensing (subject to peer review)—valid for one year.

“Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges”
by Wenwen Li, Chia-Yu Hsu and Marco Tedesco
Remote Sens. 2024, 16(20), 3764; https://doi.org/10.3390/rs16203764

Second Prize: CHF 800 and a voucher to waive the Article Processing Charges (APCs) for one submission (review or research article) in Remote Sensing (subject to peer review)—valid for one year.

“Remote Sensing Object Detection in the Deep Learning Era—A Review”
by Shengxi Gui, Shuang Song, Rongjun Qin and Yang Tang
Remote Sens. 2024, 16(2), 327; https://doi.org/10.3390/rs16020327

“Spectral-Spatial Mamba for Hyperspectral Image Classification”
by Lingbo Huang, Yushi Chen and Xin He
Remote Sens. 2024, 16(13), 2449; https://doi.org/10.3390/rs16132449

Third Prize: CHF 500 and a voucher to waive the Article Processing Charges (APCs) for one submission (review or research article) in Remote Sensing (subject to peer review)—valid for one year.

“Flood Detection with SAR: A Review of Techniques and Datasets”
by Donato Amitrano, Gerardo Di Martino, Alessio Di Simone and Pasquale Imperatore
Remote Sens. 2024, 16(4), 656; https://doi.org/10.3390/rs16040656

“Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review”
by Guangliang Cheng, Yunmeng Huang, Xiangtai Li, Shuchang Lyu, Zhaoyang Xu, Hongbo Zhao, Qi Zhao and Shiming Xiang
Remote Sens. 2024, 16(13), 2355; https://doi.org/10.3390/rs16132355

Please join us in congratulating the winners of the Remote Sensing Best Paper Award. We also wish to take this opportunity to thank our authors for their continued support of Remote Sensing (ISSN 2072-4292).