Dear Colleagues,

We are pleased to announce the “Remote Sensing 2023 Best Paper Award” for research and review articles published in 2021. Three reviews and seven research articles will receive an award each. The papers will be selected following a thorough evaluation by the journal’s Award Committee led by the Editor-in-Chief, Dr. Prasad S. Thenkabail.

Eligibility for the Award:
– Papers published in Remote Sensing in 2021;
– The award is open to all career levels;
– Both regular and Special Issue submissions will be considered.

Selection Criteria:
Papers will be selected according to the following criteria:
– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.

The first prize (one review and two research articles):
– Each winner will receive CHF 800, a certificate, and the opportunity to publish a paper free of charge in Remote Sensing in 2023 after peer review;

The second prize (two reviews and five research articles):
– Each winner will receive CHF 500, a certificate, and the opportunity to publish a paper free of charge in Remote Sensing in 2023 after peer review.

The winners will be announced on the journal’s website in May 2023.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce that Remote Sensing is now inviting nominations for the Remote Sensing 2023 Young Investigator Award. This prize will be given to one young investigator in recognition of their excellence in the field of the science and application of remote sensing technology. All nominations will be assessed by an Award Evaluation Committee led by the Editor-in-Chief, Dr. Prasad S. Thenkabail.

The prize:

– CHF 2000;
– The option to publish one paper free of charge in Remote Sensing after peer review before the end of 2023;
– An electronic certificate.

Eligibility and Requirements:

– Must have received their PhD no more than 10 years prior to 31 March 2023;
– Must have produced ground-breaking research and made a significant contribution to the advancement of the science and application of remote sensing technology;
– Candidates must be nominated by senior scientists.

List of Documents for Nomination

– Detailed Curriculum Vitae, including an updated publication list and a list of the researcher’s own research grants;
– Scanned copy of doctorate certificate;
– Signed nomination letters from two established senior scientists.

Schedule

Open for nomination: 21 September 2022
Nomination deadline: 31 March 2023
Winner announcement: 30 April 2023

How can I submit a nomination?

The nominations must be submitted online.

Contact

Ms. Hazel Kang
Marketing Assistant
Email: [email protected]

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce that Remote Sensing will be granting the 2023 Travel Award to two junior scientists. The applications will be assessed by an Evaluation Committee consisting of senior scholars from the Remote Sensing Editorial Board.

This award provides financial support for the winners to attend an international conference in the field of the science and application of remote sensing technology to be held in 2023 in order to give a presentation, present a poster, or both.

Candidate Requirements:

– Postdoctoral fellows or PhD students;
– Plans to attend an international conference in 2023 (oral presentation or poster).

Required Application Documents:

– Information of the conference the applicant is planning to attend and the abstract that will be submitted;
– Curriculum Vitae and list of publications;
– Justification letter describing the focus of the research (max. 800 words);
– Letter of recommendation from the supervisor, research director, or department head, which also confirms the applicant’s status as a postdoctoral fellow/PhD student.

The winners (two awardees) will each be awarded CHF 800 and a certificate. Please submit your applications for the Remote Sensing 2023 Travel Award online by 28 February 2023. Prizes will be awarded on 31 March 2023 and announced on the Remote Sensing website.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

On behalf of our Editor-in-Chief, Dr. Prasad S. Thenkabail, we wish to acknowledge our reviewers who so generously offer their time to review the papers submitted to Remote Sensing by presenting an award to those reviewers who have demonstrated their dedication, professionalism, and timeliness in reviewing manuscripts for Remote Sensing.

What are the pre-requisites to be eligible for this award?

All reviewers for Remote Sensing in 2022 will be automatically included.

Selection Criteria:

– Number of review reports;
– The quality and timeliness of review reports.

What will the winners receive?

There will be ten winners this year. Five winners will be granted the Outstanding Awards for Excellence in Manuscript Reviews, and receive the following:
– CHF 500;
– An opportunity to publish a paper free of charge in 2023;
– A certificate.

Five winners will be granted the Recognition Awards for Manuscript Reviews, and receive the following:
– An opportunity to publish a paper free of charge in 2023;
– A certificate.

When will the winners be announced?

The winners will be announced on 30 April 2023 on the journal’s website.

How can I make myself eligible?

If you have not yet reviewed papers for Remote Sensing, but would like to do so, you can register as a reviewer at the following link:
https://susy.mdpi.com/volunteer/profile/edit.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

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.

Two Reviews:
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.

Associate Editor
Prof. Dr. Jon Atli Benediktsson, Remote Sensing

Dear Colleagues,

We are pleased to announce the winners of the Remote Sensing Travel Award for 2022.

The award has been granted to Ms. Ana Novo, who is working at the Applied Geotechnologies Research Group, University of Vigo, and Ms. Renée Mie Fredensborg Hansen, who is a PhD student at the Technical University of Denmark and Norwegian University of Science and Technology (in collaboration with The University Centre in Svalbard).

With so many high-quality applicants, the evaluation process and final decision were incredibly challenging. We would like to thank all the applicants for submitting their diverse and fascinating range of research topics. On behalf of the Assessment Committee, we would also like to congratulate the winners on their accomplishments.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

Danfeng Hong received his MSc degree (summa cum laude) in computer vision from the College of Information Engineering, Qingdao University, Qingdao, China, in 2015, and his PhD (summa cum laude) from the Signal Processing in Earth Observation (SiPEO), Technical University of Munich (TUM), Munich, Germany, in 2019.

He is currently a professor at the Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS). Before joining CAS, he was a Research Scientist and led a Spectral Vision Working Group at the Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany. He was also an Adjunct Scientist at GIPSA-lab, Grenoble INP, CNRS, Univ. Grenoble Alpes, Grenoble, France. His research interests include signal/image processing, hyperspectral remote sensing, machine/deep learning, artificial intelligence, and their applications in Earth Vision.

Dr. Hong is an Editorial Board Member of Remote Sensing and a Topical Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing (TGRS). He was a recipient of the Best Reviewer Award of the IEEE TGRS in 2021 and the Jose Bioucas Dias award for his outstanding paper at the Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) in 2021. He is also a Leading Guest Editor of the International Journal of Applied Earth Observation and Geoinformation, IEEE Journal of Selected Topics in Applied Earth Observations, and Remote Sensing.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce the winners of the Remote Sensing 2021 Outstanding Reviewer Award. The Remote Sensing Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy dedicated by reviewers in checking the manuscripts submitted to Remote Sensing. It is due to their efforts that the high quality of the journal and quick turnaround are maintained.

The top five winners will each receive CHF 500, a certificate, and a chance to publish a free paper after peer review in Remote Sensing in 2022:

Dr. Veraldo Liesenberg
Department of Forest Engineering, Santa Catarina State University, Lages, Brazil

Dr. Yady Tatiana Solano-Correa
Environmental Research Group, University of Cauca, Cauca, Colombia

Prof. Dr. Francesco Marinello
Department of Land Environment Agriculture and Forestry, University of Padova, Legnaro, Italy

Dr. Pedro Melo-Pinto
Escola de Ciências e Tecnologia (ECT ), Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

Dr. Ignacio Bosch
Instituto de Telecomunicaciones y Aplicaciones Multimedia (iTEAM), Universitat Politènica de València, València, Spain

Further five winners will each receive a certificate and a chance to publish a free paper after peer review in Remote Sensing in 2022:

Prof. Dr. Juan Soria
Cavanilles Institute of Biodiversity & Evolutionary Ecology, University of Valencia, Paterna, Spain

Dr. Chiman Kwan
Signal Processing, Inc., Rockville, Maryland, USA

Dr. Benoit Vozel
Institute of Electronics and Telecommunications IETR UMR CNRS 6164, University of Rennes, Lannion, France

Dr. Giuseppe Casula
National Institute of Geophysics and Volcanology Unit of Bologna, Bologna, Italy

Dr. Simone Cosoli
Ocean Graduate School and the UWA Oceans Institute, The University of Western Australia, Crawley, Australia

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce the winners of the Remote Sensing 2021 Best Cover Award. The winners of the Remote Sensing 2021 Best Cover Award will receive CHF 100. The winners are as follows:

• Issue 3 (February 1, 2021)
  Artificial Light at Night Advances Spring Phenology in the United States (doi:10.3390/rs13030399)
• Issue 8 (April 2, 2021)
  Automated Global Shallow Water Bathymetry Mapping Using Google Earth Engine (doi:10.3390/rs13081469)
• Issue 22 (November 2, 2021)
  Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis (doi:10.3390/rs13224548)
• Issue 23 (December 1, 2021)
  High Performance Computing in Satellite SAR Interferometry: A Critical Perspective (doi:10.3390/rs13234756)
• Issue 16 (August 2, 2021)
  Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using Machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn (doi:10.3390/rs13163105)

Congratulations to the winners for their excellent research!

We selected 10 participants, who will receive a CHF 50 voucher each.

Zahra Gharineiat, Grant Gunn, Xavier Haro-Carrión, Irfan Akhtar Iqbal, Jan-Peter Mund, Martin Štroner, Nicolo Camarretta, Ilaria Ferrando, Nicodemo Abate, Dennis Wilken

We would like to thank everyone for their participation.

Kind regards,
Remote Sensing Editorial Office

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

Dear Colleagues,

As Section Editor-in-Chief of Remote Sensing, I am pleased to announce the winners of the Remote Sensing Travel Awards for 2021.

The awards have been granted to Dr. Amen Al-Yaari, who was awarded a postdoctoral fellowship by UMR METIS (Environment, Transfers and Interactions in Soils and Water Bodies), Sorbonne University, and Dr. Meng Lu, the postdoctoral fellow of Department of Physical Geography, Utrecht University.

With so many high-quality applicants, the evaluation process and final decision were challenging. We would like to thank all the applicants for submitting their diverse and fascinating range of research topics. On behalf of the Assessment Committee, I congratulate the winners on their accomplishments.

Prof. Gerrit de Leeuw
Section Editor-in-Chief, Remote Sensing

Dear Colleagues,

We are pleased to announce that the winner of the Remote Sensing 2021 Young Investigator Award is Mr. Celso Henrique Leite Silva Junior.

Celso H. L. Silva Junior is a PhD Candidate in Remote Sensing at the National Institute for Space Research – INPE (Brasil) and Professor of Cartography at the Agricultural Engineering Department of the State University of Maranhão – UEMA (Brazil). He has an MSc in Remote Sensing from INPE, São José dos Campos, Brazil, with a dissertation focusing on integrating airborne LIDAR (Light Detection and Ranging) with over 30-years of Landsat-based forest-cover change maps for quantifying the impacts of deforestation edge effects across the tropics on the stability of carbon stocks in Amazonian forests and carbon emissions from deforestation.

Celso started his studies in Remote Sensing in 2009 at the CEUMA University – UniCEUMA (Brazil), graduating with a bachelor’s degree in Environmental Engineering in 2014. At the National Institute for Space Research, Celso has been developing his PhD Thesis at the Tropical Ecosystems and Environmental Sciences Laboratory (TREES) under the supervision of Dr Luiz Aragão and Dr Liana Anderson, funded by the Coordination for the Improvement of Higher Education Personnel (CAPES). His particular expertise in analyzing big datasets with state-of-the-art data processing techniques and his dedication and perseverance have translated into ground-breaking scientific production, which is especially outstanding considering his age and the early stage of his career.

His research topics and achievements have global scientific relevance and societal impact. He aims to advance our understanding of the global carbon budget, particularly in tropical regions. Such advances support actions to monitor, report, and verify carbon emissions in tropical nations, with direct implications for policies to mitigate climate change and meeting the goals related to the Nationally Determined Contributions (NDCs) ratified at the United Nations (UN) as part of the global efforts to minimize Earth’s human-derived carbon emissions to comply with the global Sustainable Development Goals (SDGs). As the awardee, Mr. Celso Henrique Leite Silva Junior will receive an honorarium of 2000 CHF.

We would like to thank all the nominees from various fields of study for their participation and all the Award Committee Members for their evaluation of the abundant excellent nominations.

Prof. Dr. Jose Moreno,
Associate Editor, Remote Sensing
On behalf of the Remote Sensing 2021 Young Investigator Award Evaluation Committee

Dear Colleagues,

We are pleased to announce the winners of the “Remote Sensing 2020 Best Cover Awards”. The winners of the “Remote Sensing 2020 Best Cover Awards”, in no particular order, will receive CHF 100 each. The winners are as follows:

Issue 1 (January 1, 2020)
Exploring the Potential of C-Band SAR in Contributing to Burn Severity Mapping in Tropical Savanna (doi:10.3390/rs12010049)

Issue 12 (June 2, 2020)
The 2019 Eruption Dynamics and Morphology at Ebeko Volcano Monitored by Unoccupied Aircraft Systems (UAS) and Field Stations (doi:10.3390/rs12121961)

Issue 7 (April 1, 2020)
How Can Remote Sensing Help Monitor Tropical Moist Forest Degradation?—A Systematic Review (doi:10.3390/rs12071087)

Issue 18 (September 2, 2020)
Interdisciplinary Teaching Using Satellite Images as a Way to Introduce Remote Sensing in Secondary School (doi:10.3390/rs12182868)

Issue 14 (July 2, 2020)
Effect of Lockdown Measures on Atmospheric Nitrogen Dioxide during SARSCoV-2 in Spain (doi:10.3390/rs12142210)

Congratulations to the winners for their excellent research!

We selected 10 participants, who will receive a CHF 50 voucher each.

Juan José Moyano Campos, Stefan Adriaensen, Pedro Cabral, Marta Yebra, Torok Ibolya, Nick van de Giesen, Javier Litago, Alberto Pellegrinelli, Antoine Denis, Radek Malinowski.

Thanks everyone for your participation.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce the winners of the Remote Sensing 2020 Outstanding Reviewer Award. The Remote Sensing Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy dedicated by reviewers in checking the manuscripts submitted to us.

The top five winners:

Pedro Pina
CERENA, Instituto Superior Técnico, Universidade de Lisboa, 1000-001 Lisbon, Portugal

Patrick Launeau
Sciences de la Terre et de l’Univers de la Faculté des Sciences et des Techniques, Université de Nantes, 44322 Nantes, France

Lenio Galvao
National Institute for Space Research, Remote Sensing Division, São José dos Campos SP 12245-970, Brazil

Veraldo Liesenberg
Department of Forest Engineering, College of Agriculture and Veterinary, Santa Catarina State University (UDESC), Avenida Luiz de Camões 2090, Lages SC 88520-000, Brazil

Geoffrey Henebry
Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48824, USA

A further five winners:

Joshua Hacker
Jupiter Intelligence, Boulder, CO 80305, USA

Mauri Pelto
Department of Environmental Science, Nichols College, Dudley, MA 01571, USA

Petri Räisänen
Climate System Research unit, Finnish Meteorological Institute, 00560 Helsinki, Finland

Manuel Pulido FernĂ¡ndez
GeoEnvironmental Research Group (GIGA), University of Extremadura, 10071 Cáceres, Spain

Ismaila Abubakar
College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P.O Box 1982, Dammam 31441, Saudi Arabia

Kind regards,
Remote Sensing Editorial Office

The editorial team would like to congratulate the winners of the Remote Sensing 2020 Outstanding Contribution Awards, who were selected based on the citation data downloaded in the Web of Science and finally approved by the EiC, Dr. Prasad S. Thenkabail. They will receive 1000 CHF and an electronic certificate.

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery (10.3390/rs71114680) by Fan Hu, Gui-Song Xia, Jingwen Hu and Liangpei Zhang

A Non-Stationary 1981–2012 AVHRR NDVI_3g Time Series (10.3390/rs6086929) by Jorge E. Pinzon and Compton J. Tucker

Their research results have received a very high frequency of citations. We believe these two papers have contributed greatly to the field of Remote Sensing. The authors are also respected in the related field.

Regulations
– In order to maximize the impact of candidate articles, we decided to hold this award every four years.
– The next edition will be held in 2024, and the candidate articles will have been published in 2016, 2017, 2018, and 2019.

Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce the winners of the 2020 Travel Awards sponsored by Remote Sensing.

Ms. Morgan Crowley is a Ph.D. student at the Department of Natural Resource Sciences, McGill University, Canada. She will attend the European Geosciences Union General Assembly 2020, 3–8 May, 2020, in Vienna, Austria to present her paper “Mapping and Comparing Wildland Fire Progressions Using Freely Available, Multi-Source Satellite Data”.

Dr. Florent Poux is a post-doctoral fellow at Geomatics Unit, University of Liège, Belgium. He will attend the 3DGeoInfo2020: 3D GeoInfo 2020, 8–11 September, 2020, in London, U.K. to present his paper “Region Growing for Efficient Segmentation of Large Point Clouds”.

Each Travel Award consists of a certificate and 800 CHF to attend an academic conference of their choice in 2020. Congratulations to the winners of this highly competitive travel award.

We would like to thank all the Evaluation Committee members for their assiduous evaluation of the candidates, and all the applicants for submitting their fascinating research encompassing a diverse range of topics.

Dr. Xiaofeng Li
Advisory Board Member of Remote Sensing

Dear Colleagues,

On behalf of Remote Sensing, we would like to congratulate Dr. Pietro Milillo as the winner of the 2020 Remote Sensing Young Investigator Award, aer a rigorous selection process with many excellent candidates from all around the world.

Dr. Pietro Milillo works at the Jet Propulsion Laboratory, California Institute of Technology, USA as a Research Scientist. He has a Ph.D. in Environmental Engineering from the University of Basilicata, Potenza, Italy, with a thesis on the synergistic use of Synthetic Aperture Radar (SAR) constellations for studying natural and anthropogenic phenomena. Pietro started his studies in Physics in 2008 at the University of Bari (Italy), graduating with a B.S. in 2010 and M.S. in 2012 in Physics and Applied Physics, respectively.

His research focuses on the synergistic use of remote sensing and ground-based data exploitation for Earth and Cryosphere science and Natural Hazard response. He is particularly interested in analyzing how the new generation of remote sensing instruments are leading to more eective near real-time disaster monitoring, assessment, and response, and a greater ability to constrain dynamically changing physical processes, improving our understanding of basic Earth science.

In his research, he aims to advance geodetic and geophysical measurements together with numerical modeling of geophysical processes characterizing the cryosphere (glaciers mass balance, short term grounding zone dynamics, surface elevation changes) and infrastructure monitoring, highlighting critical conditions that could lead to infrastructure damage or collapse.

Dr. Pietro Milillo will receive 2000 Swiss Francs for his groundbreaking contributions to Earth Sciences, in particular Cryosphere and Natural Hazard research.

Prof. Dr. Jose Moreno
Associate Editor of Remote Sensing

Dear Colleagues,

We are pleased to announce the winners of “Remote Sensing 2019 Best Cover Award”. The winners of the “Remote Sensing 2019 Best Cover Award”, in no particular order, will receive 100 CHF each. They are as follows:

– Issue 2 (January 2, 2019)
Bathymetry of Northwest Greenland Using “Ocean Melting Greenland” (OMG) High-Resolution Airborne Gravity and Other Data (doi:10.3390/rs11020131)

– Issue 4 (February 2, 2019)
NASA’s Early Adopter Program Links Satellite Data to Decision Making (doi:10.3390/rs11040406)

– Issue 6 (March 2, 2019)
A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization (doi:10.3390/rs11060632)

– Issue 7 (April 1, 2019)
Resolving Fine-Scale Surface Features on Polar Sea Ice: A First Assessment of UAS Photogrammetry Without Ground Control (doi:10.3390/rs11070784)

– Issue 13 (July 1, 2019)
Mid-Season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM) (doi:10.3390/rs11131582)

Congratulations to the winners for their excellent research!

We selected 10 participants, who will receive a 50 CHF voucher each.

Franz Waldner, Brian Huberty, Isaac August, Xiaojuan Li, Calimanut Ionut Cira, Ugur Alganci, Juan Carlos Jimenez, Yan Liu, Zhenhong Li, Francesco Valerio.

Thanks everyone for your participation.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

The Remote Sensing Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy given by reviewers in checking manuscripts submitted to Remote Sensing. It is due to their efforts that the high quality of the journal and quick turnaround is maintained.

The following referees have been selected to receive Remote Sensing 2019 Outstanding Reviewer Awards for the quantity, timeliness and quality of their reviews in 2019:

The top five winners:

Stefania Bonafoni
Department of Engineering, University of Perugia, 06125 Perugia, Italy

Veraldo Liesenberg
Forest Engineering Department, Santa Catarina State University (UDESC), Lages 88520-000, Brazil

Ryo Natsuaki
Department of Electrical Engineering and Information Systems, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan

Daniel Sousa
La Kretz Research Center at Sedgwick Reserve and National Center for Ecological Analysis and Synthesis, Earth Research Institute, UC Santa Barbara, Santa Barbara, CA 93101, USA

Lorenzo Solari
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, 08860, Castelldefels, Spain

A further five winners:

Michael J. Abrams
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA

Ram Avtar
Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan

Chiman Kwan
Signal Processing Inc., Rockville, Maryland, MD 20850, USA

Buddhika Madurapperuma
Department of Forestry and Wildland Resources, Department of Environmental Science and Management, Arcata, CA 95521, USA

Krzysztof Sośnica
Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, 50-375 Wroclaw, Poland

Kind regards,
Remote Sensing Editorial Office

We are pleased to announce the “Remote Sensing 10th Anniversary Best Paper Award”, which marks the 10th anniversary of Remote Sensing in 2018. Nominations from all papers published from 2009 to 2018 were made by the Evaluation Committee and finally approved by the EiC, Dr. Prasad S. Thenkabail. Following a review process by the Evaluation Committee, 10 final winners were selected. The recipients of the “Remote Sensing 10th Anniversary Best Paper Award”, in no particular order, are as follows.

Special Award: (the certificate and 1000 CHF)

• Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification
  and Considerations of Use (doi:10.3390/rs4061671)

Rank 1 Award: (the certificate and 800 CHF each)

• A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series (doi:10.3390/rs6086929)
• Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs (doi:10.3390/rs5020949)

Rank 2 Award: (the certificate and 600 CHF each)

• An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds (doi:10.3390/rs4051392)
• An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (doi:10.3390/rs4040950)
• 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 (doi:10.3390/rs5020927)

Rank 3 Award: (the certificate and 400 CHF each)

• Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring (doi:10.3390/rs5031045)
• A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and  Monitoring (doi:10.3390/rs8010070)
• Remote Sensing of Coral Reefs for Monitoring and Management: A Review (doi:10.3390/rs8020118)
• The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
  (doi:10.3390/rs70708830)

Congratulations to the winners for their excellent research!

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce the winners of the 2019 Travel Awards sponsored by Remote Sensing.

Dr. Hugo Carreno-Luengo is a researcher at the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain, whose research interests include the use of GNSS-R techniques to perform Earth remote sensing from nanosatellites. He has worked at two world-leading research centres in this field: the team of Prof. A. Camps at the Polytechnic of Catalonia, and with the team at the National Aeronautics and Space Administration (NASA)—Jet Propulsion Laboratory (JPL).

Mr. Saman Ghaffarian, a PhD candidate at University of Twente, Netherlands, has been focusing on advanced image processing and the developing of new proxies, as well as data analysis methods to revolutionize the way post-disaster recovery is assessed. Recently, he published a major review article on the use of image-based proxies in disaster risk management “Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review” (doi: 10.3390/rs10111760)

Each Travel Award consists of a certificate and 800 CHF to attend an academic conference of their choice in 2019. Congratulations to the winners of this highly competitive travel award.

We would like to thank all the Evaluation Committee members for their assiduous evaluation of the candidates, and all the applicants for submitting their fascinating research encompassing a diverse range of topics.

Dr. Xiaofeng Li
Section Editor-in-Chief of Remote Sensing

Dear Colleagues,

On behalf of the journal Remote Sensing, we would like to congratulate Dr. Jian Peng as the winner of the 2019 Remote Sensing Young Investigator Award. The Award will consist of 2000 Swiss Francs.

Dr. Jian Peng works in the School of Geography and the Environment, University of Oxford. He gained a Ph.D. in Earth Science from the Max Planck Institute for Meteorology (MPI-M). Before joining the University of Oxford, he was a research scientist at the University of Munich (LMU) and a post-doc researcher at MPI-M.

In his research, he aims to use satellite remote sensing (optical/thermal/microwave) to monitor the Earth’s water cycle and to understand the variability of hydrological processes across multiple space and time scales. He has developed novel approaches to quantifying the water cycle’s components, such as soil moisture, evaporation, and precipitation from satellite observations. In particular, he has combined multiple data sources together to improve the spatial resolution of satellite-based soil moisture and developed a novel framework for the generation of high-resolution land surface water and energy fluxes from state-of-the-art satellite data.

His current research focuses on exploring the teleconnection between hydrological variability and climate oscillations based on satellite observations. He is also working towards using satellite data to quantify the spatial–temporal patterns of hydroclimatic extremes, and to assess their impacts on agriculture, environment, and society.

Dr. Jian Peng will receive 2000 Swiss Francs for his groundbreaking contributions to hydrology research.

Prof. Dr. Jose Moreno
Associate Editor of Remote Sensing

Dear Colleagues,

The Remote Sensing Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy given by reviewers in checking manuscripts submitted to Remote Sensing. It is due to their efforts that the high quality of the journal and quick turnaround is maintained.

The following referees have been selected to receive “Remote Sensing 2018 Outstanding Reviewer Awards” for the quantity, timeliness and quality of their reviews in 2018:

The top five winners:

Mahyar Aboutalebi
Utah Water Research Laboratory, Utah State University, Logan, UT 84321, USA.

Stefania Bonafoni
Department of Engineering, University of Perugia, 06125, Perugia, Italy.

Christopher E. Sioris
Environment and Climate Change Canada, Toronto, Ontario, M3H 5T4, Canada.

Matthieu Molinier
VTT Technical Research Centre of Finland Ltd., PL 1000, FI-02044 VTT, Finland.

Chiman Kwan
Signal Processing, Inc., Rockville, Maryland, MD 20850, USA.

A further five winners:

Andrea Buono
Engineering Department, University of Naples “Parthenope”, 80100 Napoli, Italy.

Majid Nazeer
COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan.

Antonio Miguel Ruiz-Armenteros
Departamento de Ingeniería Cartográfica, Universidad de Jaén, 23071
Jaén, Spain.

John C. Trinder
School of Civil and Environmental Engineering, The University of New
South Wales, Sydney, NSW 2052, Australia.

Nasser Najibi
The City University of New York, New York, NY 10031, USA.

Kind regards,
Remote Sensing Editorial Office

Dear Colleagues,

We are pleased to announce the winners of the 2018 Travel Awards sponsored by Remote Sensing.

Travel Awards were granted to Jing Liu, a PhD student at the University of Twente, Enschede, Netherlands and Emma Izquierdo-Verdiguier, a postdoctoral researcher at the Image Processing Laboratory (IPL), University of Valencia, Valencia, Spain.

Dr. Jing Liu’s research focusses on Earth Observation for forest ecology, in particular the mapping of forest structure using LiDAR and passive remote-sensing technology. Amongst other topics, Jing studied the horizontal and vertical distribution of forest bio-physical variables such as leaf area index and leaf angle distribution, clumping and terrain effects interfering with such retrievals, as well as possibilities for automated segmentation of tree crowns.

Dr. Emma Izquierdo-Verdiguier holds a PhD and is conducting research in the field of machine learning for remote-sensing data analysis, including supervised and unsupervised classification and clustering and biophysical parameter estimation. Emma is particularly interested in improving the capacity of support vector machines for classification tasks and in the use of Earth Observation data for land surface phenology.

Each award consists of 800 Swiss Francs to attend an academic conference in 2018.

Prof. Dr. Clement Atzberger
Section Editor-in-Chief of Remote Sensing

Dear Colleagues,

On behalf of the journal Remote Sensing, we would like to congratulate Dr. Robert Brewin as the winner of the 2018 Remote Sensing Young Investigator Award.

Dr. Brewin works in the Plymouth Marine Laboratory, United Kingdom, having obtained his PhD in Satellite Oceanography at the University of Plymouth.

He has an outstanding publication record of 58 papers, including 16 in Remote Sensing of Environment,along with some high impact papers in Nature Geoscience and Scientific Reports.

He is Co-Investigator of NERC’s National Centre for Earth Observation, and serves on the Editorial Board for the Journal of Plankton Research.

He is also Guest Editor for Remote Sensing Journal Special Issue “Remote Sensing of Ocean Colour”.

Dr. Brewin will receive 2,000 Swiss Francs for his ground-breaking contributions to the advancement of remote sensing in oceans and phytoplankton research.

Dr. Alfredo R. Huete
Associate Editor of Remote Sensing

Dear Colleagues,

We are pleased to announce the two winners of the 2017 Travel Awards sponsored by Remote Sensing:

Travel Awards were granted to Dr. David Chaparro, a PhD student at the Universitat Politècnica de Catalunya, IEEC/UPC, Barcelona, Spain and Dr. Wai Yeung Yan, a postdoctoral researcher at the Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada.

Dr. David Chaparro’s research involves the application of remote sensing data derived from microwave radiometers. During his PhD, he analysed surface moisture and temperature trends to anticipate drought conditions linked to wildfire activity. His results led to the development of a new fire risk model. In his current research, SMAP measurements of soil moisture and vegetation optical depth are being used as indicators of crop yields and phenology.

Dr. Wai Yeung Yan’s research activities focus on improving the radiometric quality of multispectral LiDAR intensity data so as to facilitate applications toward surface classification and object recognition. He developed radiometric and BRDF corrections, and normalization models for different LiDAR sensors, demonstrating significant improvements in data quality and classification accuracy.

The awards consist of 800 Swiss Francs each to attend an academic conference in 2017.

Dr. Alfredo R. Huete
Associate Editor of Remote Sensing