Remote Sensing 2021 Best Paper Award
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
