The 5th International Electronic Conference on Remote Sensing
Part of the International Electronic Conference on Remote Sensing series
7–21 Nov 2023
Remote Sensing Systems, Remote Sensing Techniques, Remote Sensing Applications
- Go to the Sessions
- Event Details
Winner Announcement
On behalf of the chairs of ECRS 2023, we are pleased to announce the winners of the Best Paper Award and Best Presentation Award.
The Best Paper Award has been awarded to:
-Sciforum-077182, Fast computations of the top-of-the-atmosphere radiance in a spectral range 400-2500 nm using the PYDOME tool. Dmitry Efremenko, Bringfried Pflug, Rudolf Richter, Raquel de los Reyes, Thomas Trautmann
The Best Presentation Award has been awarded to:
-Sciforum-079400 , Estimating photosynthetic and non-photosynthetic vegetation fractional cover and traits in semi-arid tree-grass ecosystems using Sentinel 2 images. Daniel Pfitzer, Vicente Burchard-Levine, Héctor Nieto, Rosario González, Javier Pacheco-Labrador, Jesús Ramo, Lucía Casillas, M. Dolores Raya-Sereno, M. Pilar Martín
Welcome from the Chair
Dear Colleagues,
The 5th International Electronic Conference on Remote Sensing with a focus on “Advances in experimental and theoretical studies of terrestrial atmosphere and underlying surface” will be held on 7-21 November 2023. The main aim of the conference is to present recent advances in experimental and theoretical studies of atmosphere (trace gases, atmospheric aerosol, cloudiness, precipitation, temperature, and pressure) and underlying surface with a focus on cryosphere, which has nonlinear impacts on climate change trends and the warming of our planet. The conference will promote the use of remote sensing and geospatial information technology and make it possible to exchange innovative approaches in the area of remote sensing.
This is an excellent opportunity for remote sensing scientists to communicate with their colleagues, learn from each other, and share ideas and results. It will be possible to deliver live and pre-recorded presentations simultaneously.
The main topics and sessions of the conference cover:
S1. Remote sensing systems and techniques
S1-1. Ground-based, airborne, shipborne, and spaceborne remote sensing systems
S1-2. Hyperspectral remote sensing
S1-3. Lidar remote sensing
S1-4. Radar remote sensing
S1-5. Passive remote sensing
S2. Remote sensing: physical fundamentals and inverse theory
S2-1. Electromagnetic light scattering
S2-2. Radiative transfer
S2-3. Inverse theory
S3. Remote sensing applications
S3-1. Oceanic remote sensing
S3-2. Vegetation remote sensing
S3-3. Remote sensing of land use and land cover change
S3-4. Remote sensing of snow and ice
S3-5. Remote sensing of precipitation
S3-6. Aerosol remote sensing
S3-7. Cloud remote sensing
S3-8. Remote sensing of atmospheric trace gases
All accepted abstracts will be published on the website of the conference. You are required to submit an abstract (250–500-word limit). Please see the abstract guidelines at "Instructions for Authors".
After the conference, there will be a possibility to submit selected papers to the related journal Remote Sensing (Impact Factor (2021), 5.349, 5-Year Impact Factor (2021): 5.786; Top Open Access Journal in Remote Sensing) with a 20% discount on the APCs.
On behalf of the Organizing Committee, I cordially invite you to join us at the 5th International Electronic Conference on “Advances in experimental and theoretical studies of terrestrial atmosphere and underlying surface”.
Dr. Alexander Kokhanovsky
Chair of the 5th International Electronic Conference on Remote Sensing
German Research Centre for Geosciences, Potsdam, Germany
Live Session Programs
Live Session 1
7 November 2023
Time: 10:00 CET
Speaker |
Presentation Topic |
Time (CET) |
Luca Lelli |
Welcome Speech |
10:00-10:05 |
Tommaso Orusa |
IRIDE Earth Observation Program: Expectations and Suggestions for Alpine Environments |
10:05-10:25 |
Bilal Hammoud | Towards Effective Monitoring of Marine Oil Pollution using Drones: Challenges and Potentials |
10:25-10:45 |
Antoine Collin |
The Use of Ultra-High-Resolution UAV Lidar Infrared Intensity for Enhancing Coastal Cover Classification |
10:45-11:05 |
Q&A |
11:05-11:15 |
Live Session 2
14 November 2023
Time: 9:30 CET
Speaker |
Presentation Topic |
Time (CET) |
Riccardo Buccolieri |
Welcome Speech |
9:30-9:35 |
Boris Boiarskii |
Comparative Analysis of Remote Sensing via Drone and On-the-go Soil Sensing via Veris U3: A Dynamic Approach |
9:35-9:50 |
Ezra MacDonald | MineSegSAT: An Automated System to Evaluate Mining-Disturbed Area Extents from Sentinel-2 Imagery |
9:50-10:05 |
Shazia Pervaiz |
Satellite-Based Analysis of Air Quality Altering Factors: A Multi-Sectoral Guide for Mitigating Environmental Smog |
10:05-10:20 |
Emine Senkardesler |
Estimating Corn Phenology by Integrating Object - Oriented Remote Sensing and Machine Learning to Create Field Model Environmental Smog |
10:20-10:35 |
Q&A |
10:35-10:45 |
Live Session 3
16 November 2023
Time: 14:00 CET
Speaker |
Presentation Topic |
Time (CET) |
Dmitry Efremenko |
Welcome Speech& Presentation |
14:00-14:20 |
Knut Stamnes |
Lidar/Radar Propagation in a Coupled Atmosphere–Surface System: Solutions |
14:20-14:50 |
Anxin Ding | Evaluating and Improving the Hapke Model to Characterize the Reflectance Properties of Soil |
14:50-15:05 |
Pavel Smirnov |
Remote Sensing Based on the 3D Model of the Atmosphere |
15:05-15:20 |
Q&A |
15:20-15:30 |
Live Session Registration
The live session is FREE to participate. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
ECRS2023 | Live Session 1
Date: 7 November 2023 |
ECRS2023 | Live Session 2Date: 14 November 2023 |
ECRS2023 | Live Session 3
Date: 16 November 2023 |
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Once you have participated, you can log in to Sciforum using your registration email and easily download your Certificate of Attend after the conference.
Event Chair
German Research Centre for Geosciences, Potsdam, Germany
Session Chairs
Dr. Luca Lelli
Institute of Environmental Physics and Remote Sensing, University of Bremen, Germany
Remote sensing systems and techniques
Dr. Dmitry Efremenko
Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Remote sensing: physical fundamentals and inverse theory
Prof. Dr. Riccardo Buccolieri
Department of Environmental and Biological Sciences and Technologies, University of Salento, Italy
Remote sensing applications
Scientific Organizing Committee
Science Systems and Applications, Inc. Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, USA
climate change; remote sensing; climatology; earth sciences; atmosphere; meteorology; optics; sensors; environment; atmospheric physics
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, China
light scattering; radiative transfer; remote sensing
Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
radiative transfer; invariant imbedding; discrete ordinate method; synthetic iterations
Planetary Science Institute, China University of Geosciences (Wuhan), China
planetary spectroscopy and planetary science; photoelectric detection technology; remote sensing
School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
forest fires; land use/land cover mapping; pre-fire planning and post-fire assessment; remote sensing; GIS; forest management
Remote Sensing Applications (RSApps) Research Group, Department of Physics, Polytechnic School of Mieres, University of Oviedo, Mieres, Spain
albedo; hydrological techniques; ice; snow; sublimation; topography (Earth)
Bren School of Environmental Science and Management, University of California, Santa Barbara, USA
snow hydrology; Earth system science; remote sensing, and information systems
Joint Institute for High Temperatures of the Russian Academy of Sciences, Moscow, Russia
heat transfer; disperse systems; radiative transfer; droplets
Institute of Environmental Physics and Remote Sensing, University of Bremen, Germany
radiative transfer; satellite remote sensing; oxygen A-band; polarimetry; aerosol-cloud-interactions
Telespazio Belgium, Noordwijk, The Netherlands
satellite navigation; remote sensing
Institute for Atmospheric Pollution Research, National Research Council of Italy (CNR), Florence, Italy
remote sensing; snow cover; reflectance; hyperspectral sensor; artificial intelligence
Linear interaction of polarized light with homogeneous and inhomogeneous anisotropic media; Vector inverse problem of scattering; Development of polarimetric matrix models for anisotropic media by Jones-Mueller formalisms. Development and optimization of
School of Applied Information Technology, The Kyoto College of Graduate Studies for Informatics, Kyoto, Japan
radiative transfer; aerosol remote sensing
land use/land cover (LULC) mapping; forest; classification development and comparison; geographic object-based image analysis; natural disasters; UAS; ecosystem services
1. Efficient Use of Water in Agriculture Program, Institute of Agrifood Research and Technology, Fruitcentre, Parc Científic i Tecnològic Agroalimentari de Lleida 23, 25003 Lleida, Spain;
2. Department of Geography, Autonomous University of Barcelona. Campus de Bellaterra, Edifici B, Carrer de la Fortuna, s/n, 08193 Bellaterra, Barcelona
surface energy balance; thermal infrared; time series analysis; hydrological modeling; radiometric correction; field spectroscopy; land cover and land use analysis; snow cover; water resources
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
SLAM and real-time photogrammetry; multi-source data fusion; 3D reconstruction; building extraction and intelligent 3D mapping
Instructions for Authors
Submissions should be submitted by the authors online by registering at https://ecrs2023.sciforum.net/, and using the “Submit Abstract” function once logged into the system.
- Scholars interested in participating with the conference can submit their abstract (about 250–500 words covering the areas of manuscripts for the proceedings issue) online at this website up to 17 August 2023.
- The Conference Committee will conduct a pre-evaluation, based on the submitted abstract, of whether the contribution from the authors of the abstract will be welcome for the 5th International Electronic Conference on Remote Sensing. All authors will be notified by 31 August 2023 about the acceptance of their abstract.
- If the abstract is accepted for this conference, the author is optional to submit a short proceeding paper (3-6 pages), a poster, a slides presentation (in PDF), or a short video presentation (max. 3–5 minutes), up to the submission deadline of 26 September 2023.
- The conference proceedings papers and presentations will be available at https://ecrs2023.sciforum.net/ for discussion during the time of the conference, 7-21 November 2023.
- All submissions will be reviewed using the powerful text comparison tool iThenticate. This procedure aims to prevent scholarly and professional plagiarism. Submissions will then be peer-reviewed by conference committees based on originality/novelty, quality of presentation, scientific soundness, interest to the readers, overall merit and English level. After the conference, all submissions will be published on sciforum.net, and only the proceeding paper (3-6 pages) will be published in the MDPI Environmental Sciences Proceedings journal ( ISSN: 2673-4931).
Note: Publication of proceedings paper is free of charge.
Before publication, Environmental Sciences Proceedings journal will check the plagiarism issue again. Submissions with a lack of novelty will not be published in the journal. - The open access journal Remote Sensing (Impact Factor 5.349) will publish a dedicated conference Special Issue. Conference participants are encouraged to submit a full paper to the dedicated Special Issue and will receive a 20% discount on the Article Processing Charges (APC).
Note: The submission to the Remote Sensing journal is independent of the conference proceedings and will follow the usual process of the journal, including peer-review, APC, etc.
Proceedings Paper
Manuscripts for the proceedings issue must have the following organization:
- Title
- Full author names
- Affiliations (including full postal address) and authors’ e-mail addresses
- Abstract (250–500 words)
- Keywords
- Introduction
- Methods
- Results and Discussion
- Conclusions
- (Acknowledgements)
- References
Proceedings papers must be prepared in MS Word or any other word processor using the Proceedings template (see below) and should be converted to PDF format before submission. The proceedings paper should be at least 3 pages (incl. figures, tables, and references) and should not exceed 6 pages.
Posters will be available on this conference website during and after the event. Similarly to papers presented at the conference, participants will be able to ask questions and make comments about the posters. Posters that are submitted without a paper will not be included in the proceedings of the conference.
1)The poster should be in PDF format
2)The minimum size for images is 148 mm × 210 mm (horizontal × vertical) at 300 dpi.
3)The content of the poster should be a comprehensive presentation of your accepted submission.
4) No copyright issues with any elements in the poster.
Presentation Slides
Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the manuscript. Slides can be prepared the same way as for any traditional conference. They should be converted to PDF format before submission.
Video Presentations
Authors are also encouraged to submit video presentations. This is a unique way of presenting your paper and discussing it with peers from all over the world. Videos should be no longer than 3–5 minutes and prepared with one of the following formats: .mp4 / .webm / .ogg (max size: 250Mb). They should be submitted with the full manuscript before 8 September 2023 (full submission deadline).
Potential Conflicts of Interest
It is the author’s responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here “The authors declare no conflict of interest”. This should be conveyed in a separate “Conflict of Interest” statement preceding the “Acknowledgments” and “References” sections at the end of the manuscript. Financial support for the study must be fully disclosed under the “Acknowledgments” section.
Copyright
MDPI, the publisher of the Sciforum.net platform, is an open access publisher. We believe that authors should retain the copyright to their scholarly works. Hence, by submitting a Communication paper to this conference, you retain the copyright of your paper, but you grant MDPI the non-exclusive right to publish this paper online on the Sciforum.net platform. This means you can easily submit your paper to any scientific journal at a later stage and transfer the copyright to its publisher (if required by that publisher).
Live Sessions Recordings
List of accepted submissions (111)
Id | Title | Authors | Presentation Video | Poster PDF | |||||||||||||||||||||||||||||||||||||
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sciforum-079734 | Normalized Burn Ratio and Land Surface Temperature in Pre- and Post- Mediterranean forests Fire | , , , , | N/A |
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Fire is a natural disruption that affects the structure and function of forest systems by changing the vegetation composition, climatic situation, carbon cycle, wildlife habitat, and many other major properties. The measure of these changes’ degree is known as fire severity, and it can be assessed using remote sensing data (i.e., satellite images, aerial images, etc.) and various biophysical indices (such as Normalized Burn Ratio (NBR), Char Soil Index (CSI), Burn Area Index (BAI), etc.), in addition to the measurement of Land Surface Temperature (LST). This research aims to assess the response of NBR and LST in pre- and post-forest fire, taking as a study area, a Mediterranean forest located in the northern part of Morocco (35.1167° N, 5.7754° W), which burned in the summer of 2022. We used seven Landsat-8 images spanning three years: three images from 2021 (i.e., pre-fire), one image from the summer of 2022 (i.e., fire period), and three images from 2023 (i.e., post-fire). Results demonstrated a negative correlation between LST and NBR in the pre-fire period; when the temperature rises, the NBR drops. Same for the fire period in summer 2022, LST reached its peak at 50°C, while NBR decreased to its lowest point at -0.2. Whereas, in the recovery time (i.e., 2023), LST and NBR changed their fluctuation patterns; the first one variated normally according to seasons, dropping from the 50°C to 12°C in winter and reaching 37°C in summer, and the second one increased over time, going from the -0.2 to -0.04 in winter rising to 0.03 in summer, which indicates the gradual restoration of vegetation in the study area. The study concludes that in the post-fire period when the forest is recovering, NBR is unaffected by seasonal changes in temperature and is more reflective of the vegetation it projects more the vegetation situation in the area, unlike LST. Thus, relying only on LST to measure fire severity can give biased results due to changes in seasons. |
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sciforum-077135 | Analysis of Subglacial Lake Activity in Recovery Ice Stream with ICESat-2 Laser Altimetry | N/A |
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The Recovery Ice Stream is one of the longest ice streams in Antarctica, annually discharging a significant mass of ice into the Southern Ocean. Beneath the Recovery Ice Stream are numerous active subglacial lakes whose drainage and storage directly impact the flow velocity of the entire ice stream. This, in turn, has a considerable influence on ice dynamics, grounding line stability, and the mass balance of the East Antarctic Ice Sheet. Approximately twenty years ago, scientists discovered that the water transfer movements within subglacial lakes caused surface deformation on the ice sheet. The latest NASA Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), utilizing laser altimetry technology, can capture more dense and precise spatial details, helping us better understand this hydrological process. Based on this, we use all the ICESat-2 data from September 2018 to July 2022 to reconstruct and analyze the activity of subglacial lakes under the Recovery Ice Stream. To investigate water transfer between the subglacial lakes and the latest subglacial lake outlines, we calculate the differential between measurement points and the reference Digital Elevation Model (DEM) to depict the surface elevation changes of each active subglacial lake in monthly time steps. The new lake outlines are defined as contour lines representing the average elevation changes of the static ice sheet. After obtaining the lake outlines, we further analyze the crossover tracks to generate higher temporal resolution elevation change time series for the regions of interest. We have observed differences in the location and volume of the subglacial lake signals compared to the previously published inventory. Firstly, we discover that Lake REC1, originally considered as one lake, is composed of two distinct lakes during the study period, displaying opposing elevation change trends in repeated orbits. While the left area of the REC1 lake experienced a rise of 1m, the right area showed a decrease of approximately 0.5m. Additionally, through calculations of temporal elevation changes, REC1, REC2, and REC3 exhibited characteristics of cascading responses from upstream to downstream. The upstream lake, REC6, initially drained and has been continuously refilling since late 2019, resulting in a surface elevation change of approximately 4m and consuming nearly 0.4 km3 of subglacial water. This substantial water supply has effectively lubricated the ice-bedrock interface, facilitating the fast flow of the Recovery ice stream. Finally, we estimated the hydraulic head of the lakes and predicted water flow paths that align with the sequence of lake activity depicted in the time series plot. In conclusion, the subglacial lakes within the Recovery ice stream constitute a well-connected hydrological system, and the hydrological dynamics in this region are closely associated with the unique subglacial topography of the Recovery area. |
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sciforum-079563 | A first approximation for acid sulfate soil mapping in areas with few soil samples | , , | N/A | N/A |
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Acid sulfate soil mapping is the first step to avoid possible environmental damages created by one of the most problematic soils existing in nature: the acid sulfate soils. This type of soil is especially hazardous when it is drained by agricultural or forestry land use. Nowadays, more objective and precise maps are possible thanks to the application of machine learning. The use of a supervised machine learning technique in acid sulfate soil mapping requires two different types of data: the soil samples and the environmental covariates created by remote sensing data. One of the problems in acid sulfate soil mapping is the lack of soil samples in some regions since the collection of soil samples and their analysis is a long process. This prevents the creation of acid sulfate soils occurrence maps. For a first recognition of these regions, in addition to using the remote sensing data of the area, a possible solution could be the use of soil samples from other areas with similar characteristics for training the model. The question is whether a machine learning model could correctly classify acid sulfate soils in an area where it has not been trained. If this were possible, this first prediction could be used to design an efficient sampling plan for the region. In previous works, Random Forest has shown high abilities for the correct prediction of acid sulfate soils. In this work, we analyze if Random Forest is able to correctly classify the soil samples in an area where it has not been trained. For this, two different regions located in southern Finland with a similar composition of their soils are considered. It is known that remote sensing data play a fundamental role in the detection of acid sulfate soils. In this study, the remote sensing data used are LiDAR and geophysics, which arise from airborne surveys. The raster data of both areas consist of 17 environmental covariates of different types: Quaternary geology, digital elevation model, terrain layers and aerogeophysics layers. Digital elevation model is made using LiDAR data, and the terrain layers are derived from the digital elevation model. In this work, we show that Random Forest is able to classify the acid sulfate soils of an area where it has not been trained. The precision of the model is above 60%. These results are very good for a model that has not been trained in the area of the prediction. Training the model in the same area improves the results by up to 10-13%. Therefore, training the model in a different region can be used for a first recognition of regions with limited soil samples as well as for the creation of the sampling plan design in those regions. |
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sciforum-075602 | Comparative Analysis of Summer Discomfort Index and Thermal Sensation Vote Using Remote Sensing Data in Summer: A Case Study of Mediterranean cities Seville, Barcelona, and Tetuan | , , | N/A | N/A |
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As urban areas continue to expand, there is an increasing focus on enhancing the comfort of outdoor thermal conditions. In this study, summer discomfort index (SDI) maps were created for Seville, Barcelona, in Spain and Tetuan in Morocco . The calculations used substituted air temperature with land surface temperature data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and humidity from weather stations, which were then compared to thermal sensation votes (TSV) gathered from surveys given to the residents. The goal was to evaluate the thermal comfort levels in the chosen cities and investigate the relationship between the remotely sensed (SDI) and the reported thermal perception by the residents. We aimed to gain insights into urban thermal environments and their effects on human perception by integrating remote sensing data and subjective (TSV). The visual maps offer an easily readable representation of thermal comfort and discomfort and can assist designers in creating better outdoor spaces that are tailored to the needs and comfort levels of residents in each unique city. The method involved gathering and examining MODIS land surface temperature data, processing it, and calculating each city's (SDI) values. Votes on thermal comfort (TSV) were collected through a seven scale questionnaire-based survey and represented residents' individual experiences and perceptions. The findings provide valuable insights into the thermal conditions and comfort levels experienced by residents during summer in Seville, Barcelona, and Tetuan. Remote sensing data enabled the creation of spatially explicit (SDI) maps, facilitating a detailed assessment of thermal comfort variations within and between the studied cities. Comparing the remotely sensed (SDI) with subjective (TSV) contributes to a comprehensive understanding of agreement or divergence between objective measurements and human perception.
By highlighting the importance of integrating remote sensing techniques and subjective assessments for evaluating thermal comfort in urban areas, this research advances the field of urban climate studies and its results have implications for urban planning, design, and the development of strategies to enhance thermal conditions and well-being of city residents. |
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sciforum-079626 | Empirical Study of PEFT techniques for Winter Wheat Segmentation | , , , , | N/A | N/A |
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Parameter Efficient Fine Tuning (PEFT) techniques have recently experienced significant growth and have been extensively employed to adapt large vision and language models to various domains, enabling satisfactory model performance with minimal computational needs. However, despite these advancements, more research has yet to delve into potential PEFT applications in real-life scenarios, particularly in the critical domains of remote sensing and crop monitoring. In the realm of crop monitoring, a key challenge persists in addressing the intricacies of cross-region and cross-year crop type recognition. The diversity of climates across different regions and the need for comprehensive, large-scale datasets have posed significant obstacles in accurately identifying crop types across varying geographic locations and changing growing seasons. This study seeks to bridge this gap by comprehensively exploring the feasibility of cross-area and cross-year out-of-distribution generalization using the State-of-the-Art (SOTA) wheat crop monitoring model. This research mainly focuses on adapting the SOTA TSViT model, recently proposed in CVPR 2023, to address winter-wheat field segmentation, a critical task for crop monitoring and food security, especially following the Ukrainian conflict, given the economic importance of wheat as a staple and cash crop in various regions. This adaptation process involves integrating different PEFT techniques, including BigFit, LoRA, Adaptformer, and prompt tuning, each designed to streamline the fine-tuning process and ensure efficient parameter utilization. We intend to publicly release the Lebanese winter wheat dataset, code repository, and model weights. |
Event Awards
To acknowledge the support of the conference esteemed authors and recognize their outstanding scientific accomplishments, we are pleased to launch the Best Paper Award and Best Presentation Award.
The Awards
Number of Awards Available: 1
The Best Paper Award is presented to the paper judged to make the most significant contribution to the conference.
Number of Awards Available: 1
The Best Presentation Award is given for the oral online presentations/video presentations judged to make the most significant contribution to the conference.
Terms and Conditions:
Best Paper Award
Remote Sensing would like to grant an award (500 Swiss Francs) for the best paper as elected by the conference committee.
Eligibility Requirements:
1. A proceedings paper (3-6 papers) must be submitted to ECRS 2023;
2. Originality/Novelty of the paper;
3. Significance of Content;
4. Scientific Soundness;
5. Interest to the readers;
6. English language and style.
Best Presentation Award
Remote Sensing would like to grant an award (300 Swiss Francs) for the best presentation at the conference as determined by a jury.
Presentations should have the following information:
1. Title (with authors and affiliations)
2. Introduction/Objectives/Aims
3. Methods
4. Results
5. Conclusion
6. Acknowledgments
7. Contact information
Poster/Slides/Video Presentations will be considered for this award. During the conference, the chair and committee members will be invited to judge the quality of the Poster/Video Presentations. Presentations will be judged on 1) how well they are able to summarize the described work and capture the interest of viewers; 2) the visual aspect of the presentation and how it contributes to effective and clear communication of the contents.
Conference Secretaries
Ms. Judith Wu
Ms. Ariel Zhang
Ms. Amiee Shi
Ms. Denise Liu
Email: ecrs2023@mdpi.com
S1. Remote sensing systems and techniques
This session includes the below topics:
S1-1. Ground-based, airborne, shipborne, and spaceborne remote sensing systems
S1-2. Hyperspectral remote sensing
S1-3. Lidar remote sensing
S1-4. Radar remote sensing
S1-5. Passive remote sensing
Session Chair
Dr. Luca Lelli, Institute of Environmental Physics and Remote Sensing, University of Bremen, Germany
S2. Remote sensing: physical fundamentals and inverse theory
This session includes the below topics:
S2.1. Electromagnetic light scattering
S2.2 Radiative transfer
S2.3 Inverse theory
Session Chair
Dr. Dmitry Efremenko, Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
S3. Remote sensing applications
This session includes the below topics:
S3-1. Oceanic remote sensing
S3-2. Vegetation remote sensing
S3-3. Remote sensing of land use and land cover change
S3-4. Remote sensing of snow and ice
S3-5. Remote sensing of precipitation
S3-6. Aerosol remote sensing
S3-7. Cloud remote sensing
S3-8 Remote sensing of atmospheric trace gases
Session Chair
Prof. Dr. Riccardo Buccolieri, Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, University of Salento, Italy