Remote Sens. 2022, 14(3), 592; https://doi.org/10.3390/rs14030592 - 26 Jan 2022
Best Paper Award
Dear Colleagues,
The editorial team would like to congratulate the winners of the Remote Sensing 2019 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 2019 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 2019 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 Best Paper Award
Eligibility and Requirements
– All papers published in Remote Sensing will be eligible (Both regular and Special Issue submissions).
Past Winners
Year:
Winner
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images
A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years
Remote Sens. 2022, 14(3), 562; https://doi.org/10.3390/rs14030562 - 25 Jan 2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability and Transferability
Remote Sens. 2022, 14(3), 646; https://doi.org/10.3390/rs14030646 - 29 Jan 2022
Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
Remote Sens. 2022, 14(17), 4297; https://doi.org/10.3390/rs14174297 - 31 Aug 2022
Self-Supervised Assisted Semi-Supervised Residual Network for Hyperspectral Image Classification
Remote Sens. 2022, 14(13), 2997; https://doi.org/10.3390/rs14132997 - 23 Jun 2022
Use of the Sentinel-2 and Landsat-8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
Remote Sens. 2022, 14(12), 2744; https://doi.org/10.3390/rs14122744 - 7 Jun 2022
UAVs for Science in Antarctica
Remote Sens. 2022, 14(7), 1610; https://doi.org/10.3390/rs14071610 - 28 Mar 2022
A Review of Synthetic-Aperture Radar Image Formation Algorithms and Implementations: A Computational Perspective
Remote Sens. 2022, 14(5), 1258; https://doi.org/10.3390/rs14051258 - 4 Mar 2022
Global Mangrove Watch: Updated 2010 Mangrove Forest Extent (v2.5)
Remote Sens. 2022, 14(4), 1034; https://doi.org/10.3390/rs14041034 - 21 Feb 2022
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
Remote Sens. 2022, 14(16), 4101; https://doi.org/10.3390/rs14164101 - 21 Aug 2022
Award Committee
Dr. Prasad Thenkabail
Chairman
U.S. Geological Survey
Dr. Magaly Koch
Boston University
Prof. Timo Balz
Wuhan University
Dr. Alexander Kokhanovsky
Winner
A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine
Remote Sens. 2021, 13(11), 2099; https://doi.org/10.3390/rs13112099 - 27 May 2021
Estimating Canopy Density Parameters Time-Series for Winter Wheat Using UAS Mounted LiDAR
Remote Sens. 2021, 13(4), 710; https://doi.org/10.3390/rs13040710 - 15 Feb 2021
Spatial-Spectral Transformer for Hyperspectral Image Classification
Remote Sens. 2021, 13(3), 498; https://doi.org/10.3390/rs13030498 - 30 Jan 2021
Leveraging TLS as a Calibration and Validation Tool for MLS and ULS Mapping of Savanna Structure and Biomass at Landscape-Scales
Remote Sens. 2021, 13(2), 257; https://doi.org/10.3390/rs13020257 - 13 Jan 2021
Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses
Remote Sens. 2021, 13(1), 147; https://doi.org/10.3390/rs13010147 - 5 Jan 2021
Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy
Remote Sens. 2021, 13(17), 3420; https://doi.org/10.3390/rs13173420 - 28 Aug 2021
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
Remote Sens. 2021, 13(18), 3690; https://doi.org/10.3390/rs13183690 - 15 Sep 2021
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
Remote Sens. 2021, 13(11), 2139; https://doi.org/10.3390/rs13112139 - 29 May 2021
A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices
Remote Sens. 2021, 13(4), 672; https://doi.org/10.3390/rs13040672 - 13 Feb 2021
Winner
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Remote Sens. 2020, 12(10), 1662; https://doi.org/10.3390/rs12101662 - 22 May 2020
LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor
Remote Sens. 2020, 12(3), 424; https://doi.org/10.3390/rs12030424 - 28 Jan 2020
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
Remote Sens. 2020, 12(3), 346; https://doi.org/10.3390/rs12030346 - 21 Jan 2020
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges
Remote Sens. 2020, 12(10), 1688; https://doi.org/10.3390/rs12101688 - 25 May 2020
Current Practices in UAS-based Environmental Monitoring
Remote Sens. 2020, 12(6), 1001; https://doi.org/10.3390/rs12061001 - 20 Mar 2020
Award Committee
Dr. Jón Atli Benediktsson
Chairman
Winner
An Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations
Remote Sens. 2019, 11(12), 1407; https://doi.org/10.3390/rs11121407 - 13 Jun 2019
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Remote Sens. 2019, 11(2), 196; https://doi.org/10.3390/rs11020196 - 20 Jan 2019
Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate
Remote Sens. 2019, 11(19), 2301; https://doi.org/10.3390/rs11192301 - 2 Oct 2019
A Review on Deep Learning Techniques for 3D Sensed Data Classification
Remote Sens. 2019, 11(12), 1499; https://doi.org/10.3390/rs11121499 - 25 Jun 2019
Award Committee
Dr. Jón Atli Benediktsson
Chairman
Winner
Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use
Remote Sens. 2012, 4(6), 1671-1692; https://doi.org/10.3390/rs4061671 - 8 Jun 2012
A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series
Remote Sens. 2014, 6(8), 6929-6960; https://doi.org/10.3390/rs6086929 - 25 Jul 2014
Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs
Remote Sens. 2013, 5(2), 949-981; https://doi.org/10.3390/rs5020949 - 22 Feb 2013
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
Remote Sens. 2012, 4(4), 950-974; https://doi.org/10.3390/rs4040950 - 30 Mar 2012
Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011
Remote Sens. 2013, 5(2), 927-948; https://doi.org/10.3390/rs5020927 - 22 Feb 2013
Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring
Remote Sens. 2013, 5(3), 1045-1065; https://doi.org/10.3390/rs5031045 - 1 Mar 2013
A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring
Remote Sens. 2016, 8(1), 70; https://doi.org/10.3390/rs8010070 - 16 Jan 2016
Remote Sensing of Coral Reefs for Monitoring and Management: A Review
Remote Sens. 2016, 8(2), 118; https://doi.org/10.3390/rs8020118 - 6 Feb 2016
The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
Remote Sens. 2015, 7(7), 8830-8857; https://doi.org/10.3390/rs70708830 - 13 Jul 2015
