Dear Colleagues,
The editorial team would like to congratulate the winners of the Remote Sensing 2021 Best Paper Awards, who were chosen by a Selection Committee chaired by the Associate Editor, Prof. Dr. Jon Atli Benediktsson. Following a review process by the Evaluation Committee, five winners were selected. The recipients of the Remote Sensing 2021 Best Paper Awards are as follows:
Two Review Awards: (CHF 500 + one free publication in 2021)
A Review on Deep Learning Techniques for 3D Sensed Data Classification
(doi:10.3390/rs11121499)
Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate
(doi:10.3390/rs11192301)
Three Research Article Awards: (CHF 500 + one free publication in 2021)
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
(doi:10.3390/rs11020196)
An Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations
(doi:10.3390/rs11121407)
UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras
(doi:10.3390/rs11030330)
Please join us in congratulating the winners of the Remote Sensing 2021 Best Paper Awards. We would also like to take this opportunity to thank all of our authors for their continued support of Remote Sensing.
Kind regards,
Remote Sensing Editorial Office
Remote Sensing 2021 Best Paper Award
Eligibility and Requirements
– All papers published in Remote Sensing will be eligible (Both regular and Special Issue submissions).
Winner
Open AccessReview
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
by
Tianwen Zhang, Xiaoling Zhang, Jianwei Li, Xiaowo Xu, Baoyou Wang, Xu Zhan, Yanqin Xu, Xiao Ke, Tianjiao Zeng, Hao Su, Israr Ahmad, Dece Pan, Chang Liu, Yue Zhou, Jun Shi and Shunjun Wei
Winner
Salvatore Manfreda
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy
Min Zhang
1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong 999077, China;
2. Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University, Hung Hom, Hong Kong 99
Zhenwei Shi
Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China
Nikhil Prakash
Engineering Geology, Department of Earth Sciences, ETH Zurich, 8092 Zurich, Switzerland
Yu Morishita
1. COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK;
2. Geography and Crustal Dynamics Research Center, Geospatial Information Authority of Japan, Tsukuba 305-0811, Japan
Award Committee
Dr. Jón Atli Benediktsson
Chairman
Winner
David Griffiths
Department of Civil, Environmental and Geomatic Engineering, University College London, Gower Street, London WC1E 6BT, UK
Vincenzo Levizzani
CNR-ISAC, via Gobetti 101, I-40129 Bologna, Italy
Omid Ghorbanzadeh
Department of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, Austria
Ruth Mottram
Danish Meteorological Institute, Lyngbyvej 100, 2200 Copenhagen, Denmark
Vasit Sagan
Department of Earth and Atmospheric Sciences, Saint Louis University, Saint Louis, MO 63108, USA
Award Committee
Dr. Jón Atli Benediktsson
Chairman