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2nd International Electronic Conference on Remote Sensing
Part of the International Electronic Conference on Remote Sensing series
22 Mar–5 Apr 2018
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- Event Details
Welcome from the Chairs
Welcome from the Chair of the 2nd International Electronic Conference on Remote Sensing
22 March to 5 April 2018
It is my great pleasure to welcome you to the 2nd International Electronic Conference on Remote Sensing. ECRS-2 aims to promote and advance the exciting and rapidly changing field of remote sensing and contribute towards outlining the role of earth observation in monitoring the environment for a sustainable future.
During the last decade, we witnessed a remarkable increase in the number of disciplines and activities supported by remote sensing, with Earth Observation data being considered essential to most environmental monitoring activities worldwide. Indeed, remote sensing today is considered critical for addressing key challenges related to climate change, biodiversity loss, land degradation, industrial pollution, natural and anthropogenic hazards (e.g. earthquakes, floods, landslides, fires), water quality and availability, weather forecasting and early warnings, renewable energy, agriculture, forestry and natural ecosystems, coasts and oceans, topographic mapping and, national security among many others. New missions with sensors suitable for a large variety of different applications, progress in computer technology, development of new advanced digital image analysis techniques, improved access to and availability of images (satellite, airborne) andin-situ measurements, as well as the establishment of global initiatives such as the Global Earth Observation System of Systems (GEOSS) are expected to further increase the use of EO data to an even broader array of disciplines.
Hence, it seems that the future of remote sensing lies in providing numerous types of accurate, current, and multi-resolution data and derived geospatial information products readily available for every area of interest.
ECRS-2 covers research in key areas of opportunity and challenge in remote sensing sciences, including:
- New Platforms and Sensors
- Big Data Handling
- New Image Analysis Approaches
- Applications
- Product Validation
- Operational Applications and Services
- Open Source Data, Code, Algorithm
- Posters: In this section, posters can be presented without an accompanying proceedings paper. Posters will be available online on this website during and after the e-conference. However, will not be added to the proceedings of the conference.
Participants in this multidisciplinary conference will be able to examine, explore and critically engage with issues and advances in these and related areas. We hope that this event will facilitate debates on theoretical and applied aspects of remote sensing, which will yield novel ideas to the field.
The 2nd International Electronic Conference on Remote Sensing will be held at www.sciforum.net/conference/ecrs-2, the platform developed by MDPI to organize electronic conferences and discussion groups.
Accepted papers will be published in the proceedings of the conference, and selected papers will be considered for publication in Remote Sensing, which is an open access journal publication of MDPI in the field of remote sensing (https://www.mdpi.com/journal/remotesensing).
We are looking forward to receiving your contributions in this unique event!
Best regards,
Dr. Ioannis Gitas
Laboratory of Forest Management and Remote Sensing
School of Forestry and Natural Environment
Aristotle University of Thessaloniki, Greece
https://fmrs.web.auth.gr/
Ioannis Gitas is an Associate Professor at the Laboratory of Forest Management and Remote Sensing, Aristotle University of Thessaloniki, Greece, and an elected fellow of the Cambridge Philosophical Society. His research has focused on remote sensing and GIS applications in environmental monitoring, with emphasis on forest fire management and land cover/land use mapping and change detection. He has been involved in various national and international projects and has long experience working as a consultant in GIS/RS issues for national and international organisations, as well as for the industry. Also, he has served as a project proposal reviewer for a number of national and international research organisations. Dr. Gitas received his PhD and M.Phil. degrees in GIS and Remote Sensing from the Department of Geography, Cambridge University, U.K., and a B.Sc. degree in Forestry and Natural Environment from the Aristotle University of Thessaloniki, Greece. He is an Associate Editor of Remote Sensing and has edited special issues for a number of high impact factor journals. In addition, he has substantial experience in organising international workshops and conferences. Ioannis Gitas is currently the Chair of the Special Interest Group on Forest Fires of the European Association of Remote Sensing Laboratories (EARSeL, FFSIG), the FAO Forest Resources Assessment, Remote Sensing Survey contact point for Greece, and is a member of the GOFC-GOLD Fire Implementation Team.
Sciforum is a platform maintained by MDPI.
Conference Chairs
Instructions for Authors
Submissions should be done by the authors online by registering with www.sciforum.net, and using the "Submit New Submission" function once logged into system.
- Scholars interested in participating with the conference can submit their abstract (about 200-300 words covering the areas of manuscripts for the proceedings issue) online on this website until 17 December 2017.
- The Conference Committee will pre-evaluate, based on the submitted abstract, whether a contribution from the authors of the abstract will be welcome for the 2nd International Electronic Conference on Remote Sensing. All authors will be notified by 20 December 2017 about the acceptance of their abstract.
- If the abstract is accepted for this conference, the author is asked to submit his/her manuscript, optionally along with a PowerPoint and/or video presentation of his/her paper (only PDF), until the submission deadline of 10 February 2018.
- The manuscripts and presentations will be available on https://sciforum.net/conference/ecrs-2 for discussion and rating during the time of the conference 22 March-5 April 2018 and will be published in Journal Proceedings.
- The Open Access Journal Remote Sensing will publish a Special Issue of the conference proceedings papers and accepted papers will be published in the proceedings of the conference itself. Accepted papers will be published in the proceedings of the conference. After the conference, the Conference Committee will recommend manuscripts that may be included for publication in this Special Issue of the journal Remote Sensing (the submission to the journal is independent from the conference proceedings and will follow the usual process of the journal, including peer-review, APC, etc.).
Manuscripts for the proceedings issue must have the following organization:
First page:
- Title
- Full author names
- Affiliations (including full postal address) and authors' e-mail addresses
- Abstract
- Keywords
- Introduction
- Methods
- Results and Discussion
- Conclusions
- (Acknowledgements)
- References
Manuscripts should be prepared in MS Word or any other word processor and should be converted to the PDF format before submission. The publication format will be PDF. The manuscript should count at least 3 pages (incl. figures, tables and references) and should not exceed 6 pages.
Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the Manuscript. Slides, if available, will be displayed directly in the website using Sciforum.net's proprietary slides viewer. Slides can be prepared in exactly the same way as for any traditional conference where research results can be presented. Slides should be converted to the PDF format before submission so that our process can easily and automatically convert them for online displaying.
Besides their active participation within the forum, authors are also encouraged to submit video presentations. If you are interested in submitting, please contact the conference organizer at [email protected] to get to know more about the procedure. This is an unique way of presenting your paper and discuss it with peers from all over the world. Make a difference and join us for this project!
Authors that wish to present a poster only, i.e. without proceedings paper, can do so in section H - Posters of this conference. Posters will be available on this conference website during and after the event. Like papers presented on the conference, participants will be able to ask questions and make comments about the posters. Posters that are submitted without paper will not be included in the proceedings of the conference.
Submission: Manuscripts should be submitted online at www.sciforum.net/login by registering and logging in to this website.
- MS Word: Manuscript prepared in MS Word must be converted into a single file before submission. When preparing manuscripts in MS Word, the Electronic Conference on Remote Sensing Microsoft Word template file (see download below) must be used. Please do not insert any graphics (schemes, figures, etc.) into a movable frame which can superimpose the text and make the layout very difficult.
- Accepted File Formats

- Paper Format: A4 paper format, the printing area is 17.5 cm x 26.2 cm. The margins should be 1.75 cm on each side of the paper (top, bottom, left, and right sides).
- Paper Length: The conference proceedings paper should not be longer than 6 pages. The conference manuscript should be as concise as possible.
- Formatting / Style: The paper style of the Journal Remote Sensing should be followed. You may download the template file to prepare your paper. The full titles and the cited papers must be given. Reference numbers should be placed in square brackets [ ], and placed before the punctuation; for example [4] or [1-3], and all the references should be listed separately and as the last section at the end of the manuscript.
- Authors List and Affiliation Format: Authors' full first and last names must be given. Abbreviated middle name can be added. For papers written by various contributors a corresponding author must be designated. The PubMed/MEDLINE format is used for affiliations: complete street address information including city, zip code, state/province, country, and email address should be added. All authors who contributed significantly to the manuscript (including writing a section) should be listed on the first page of the manuscript, below the title of the article. Other parties, who provided only minor contributions, should be listed under Acknowledgments only. A minor contribution might be a discussion with the author, reading through the draft of the manuscript, or performing English corrections.
- Figures, Schemes and Tables: Authors are encouraged to prepare figures and schemes in color. Full color graphics will be published free of charge. Figure and schemes must be numbered (Figure 1, Scheme I, Figure 2, Scheme II, etc.) and a explanatory title must be added. Tables should be inserted into the main text, and numbers and titles for all tables supplied. All table columns should have an explanatory heading. Please supply legends for all figures, schemes and tables. The legends should be prepared as a separate paragraph of the main text and placed in the main text before a table, a figure or a scheme.
For further enquiries please contact us at [email protected].
It is the authors' 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 "Acknowledgments" section. It is the authors' 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 "Acknowledgments" section.
CopyrightMDPI AG, 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 AG 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).
List of accepted submissions (50)
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sciforum-015997 | Vertical Segmentation of Airborne LiDAR for Select Australian Vegetation Communities | , |
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A quantitative understanding of vegetation structure is vital to inform long-term protection and management of Australia’s vegetation communities. Although airborne light detection and ranging (LiDAR) systems are increasingly utilised to provide three-dimensional measures of vegetation structure at high spatial resolutions (1 – 10 m2), only limited studies characterise vertical vegetation structure using these datasets. This study assesses the capacity of high spatial resolution LiDAR data to accurately characterise the structural forms of Australian vegetation communities. Four study sites, each covering approximately 25 km2, were selected to provide examples across a range of vegetation structural forms, from shrubland to tall closed forest. A novel vertical segmentation methodology was developed to process airborne LiDAR data from each study site at 1 or 2 m vertical and horizontal spatial resolutions. Ratios were applied to standardise point density values, prior to exploratory analysis utilising multi-dimensional clustering algorithms to classify distinct vertical structure patterns. Comparisons were subsequently performed between the exploratory analysis results and established structural classifications for Australian vegetation communities. The use of the vertical segmentation technique was found to improve the identification of sub-canopy features in multi-story vegetation communities, particularly shrubs and herbaceous ground covers 0.5 - 4 m tall. Exploratory analysis results saw increased noise in structurally complex and dense vegetation communities due to reduced sub-canopy returns. Further development and application of vertical segmentation methods in multi-story vegetation communities should be evaluated due to the potential for targeted management and monitoring of vegetation communities and wildlife populations. |
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sciforum-015686 | Classification of Sentinel-2 Images Utilizing Abundances Representation | , , , , | N/A |
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This paper deals with (both supervised and unsupervised) classification in Sentinel-2 images, utilizing the abundances representation of the pixels of interest. The latter pixel representation uncovers the hidden structured regions which are not available in the reference maps. Additionally, it reduces the dimensionality of the original spectral band space, it encourages data distinctions and bolsters accuracy. The proposed methodology involves two main stages: (I) the determination of the pixels abundance representation and (II) the employment of a classification algorithm applied on the abundance representations. More specifically, stage (I) incorporates two key processes namely: (a) endmember extraction utilizing spectrally homogeneous regions of interest (ROIs) and, (b) spectral unmixing, which hinges upon the endmember selection. The adopted spectral unmixing process assumes the Linear Mixing Model (LMM), where each pixel is expressed as a linear combination of the endmembers. The pixel’s abundance vector is estimated via a variational Bayes algorithm that is based on a suitably defined hierarchical Bayesian model. The resulting abundance vectors are then fed to stage (II) where two off-the-shelf supervised classification approaches (namely nearest neighbor (NN) classification and support vector machines (SVM)) as well as an unsupervised classification process (namely online adaptive possibilistic c-means (OAPCM) clustering algorithm), are adopted. Experiments are performed on a Sentinel-2 image acquired for a specific region of the Northern Pindos National Park in the northwestern Greece containing water, vegetation and soil areas. The experimental results demonstrate that the ad-hoc classification approaches utilizing the abundance representations of the pixels outperform the ones utilizing the spectral signatures of the pixels, in terms of accuracy. |
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sciforum-016071 | Data Mining Using NDVI Time Series Applied to Change Detection | , , | N/A |
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Information about the land cover and land use of a region are fundamental in studies such as mapping of deforestation and forest degradation. Quantifying and monitoring woody cover distribution in semiarid regions is challenging, due to their scattered distribution. Data mining has been widely used in remote sensing data for information extraction of spectral and temporal data in the analysis of change detection. The main objective of this study was to characterize the land cover and land use over 2000-2010 time period for the Brazilian Caatinga seasonal biome using a temporal NDVI series and Geographic Object-Based Image Analysis. For each of the target years was obtained NDVI images derived from MODIS (MOD13Q1, at 250 m spatial and 16 day temporal scale) sensor during the dry season to predict wood cover in the municipality of Buriti dos Montes, in the state of Piauí, Northeast region of Brazil (H13V09 tile). The images were automatically pre-processed and in the GEOBIA approach was performed image segmentation, spatial and spectral attribute extraction and labelled according to the following legend: Tree Cover (TC) and Cropland/Grass (CG), to obtain a classification using the decision tree supervised algorithm. Our results showed that approach using GEOBIA presented Kappa Index of 0.58 and Global Accuracy (GA) of 0.81% and showed better accuracy for the Tree Cover. Finally, we recommend new studies using a higher spatial resolution data, as well as the addition of other parameters strongly related to vegetation of semiarid regions. |
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sciforum-016187 | Performance Analysis of Detector Algorithms using Drone-Based Radar Systems for Oil Spill Detection | , , , , | N/A |
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Large tankers collisions with rocky shoals, platform accidents, pipelines ruptures and operative discharges are main contributors to oil pollution in the World’s oceans. Consequently, the release of the petroleum pollutants into coastal waters harms severely the environmental ecosystem. According to the European Space Agency (ESA), an estimate of 4.5 million tons are spilled on annual basis worldwide. Therefore, having oil pollution monitoring system is something crucial for the preservation of the coastal ecosystem. Recent remote sensing techniques combine between aircrafts and satellite surveillance in order to increase the probability of early spill detection, as well as to cover large spill areas. We are working on a project that targets eventually to incorporate MIMO radar on drone for oil spill detection. The project will provide a quick assessment tool for oil spill accidents similar to what happened in the summer of 2006 in Lebanon, where 15000 tons of heavy fuel oil spilled in the Mediterranean Sea. In addition, the MIMO radar drones will be prominent by its providence to high spectral resolution, its allowance to parallel scanning, and its relative low cost. The project is composed of three phases. The first phase deals with the problem formulation and treatment using theoretical calculation and numerical simulations. The second phase deals with the prototype leading to the product in the third phase. As researchers, we are focusing on the first and second phases. Experimental measurements conducted in the laboratories in France are used to validate the models, to study the effectiveness of the algorithms and to provide the prototype. The product development in the final phase is left for application engineers. Specifically for this abstract, we develop radar’s algorithms that take into account both the mathematical and the physical modeling of the sea surface covered by oil slicks. In these detection algorithms, we use the statistical characterization of the power reflectivity and its distribution under various scenarios (noise levels, oil thicknesses and electromagnetic wave’ frequencies). We first propose a single frequency oil spill detector that uses multiple observations of power reflection coefficients over several scanning iterations for the sea area. Increasing the number of observations leads to an increase in the certainty of the detector. Second, we address the correctness and the effectiveness of this detector for different scenarios using Monte- Carlo simulations. Results show the inability of this detector to effectively distinguish between oil slicks and oil-free slicks. An upgrade of this detector is the multi-frequency multi-snapshot detector where several electromagnetic frequencies are used when scanning the area. Performance analysis of the second detector proves its ability to overcome the drawbacks of the first detector by providing accurate detection. |
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sciforum-015960 | Satellite Based Temporal Analysis of Local Weather Elements Along N-S Transect Across Jharkhand, Bihar & Eastern Nepal | , |
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The study area has chosen along the N-S transect across the Himalaya, Gangetic plains and Chotanagpur plateau. We basically tried to observe the variation in the most important climatic variables i.e. Net Surface Radiation (Rn), Temperature, Rainfall, Evapotranspiration (ET) etc. during 2000-2016. Generally the meteorological parameters shows its variability over a large spatial domain and remains invariable for closer ground based observations. In contrast, the satellite data is capable to present a synoptic view in a single image. Therefore it is more reliable to use the satellite dataset for the study of such meteorological parameters. The TRMM monthly average precipitation (0.25° X 0.25°), MODIS-Terra 8 day average LST product (1km X 1km), MERRA-2 radiation (0.5° x 0.625°) and GLDAS reanalysis model data (0.25°X0.25°) has been used to study and analyse the spatial variability and distribution of rainfall, surface temperature, energy fluxes and evapotranspiration, respectively. The results have shown that the overall annual average rainfall has a gradual decreasing trend. It results after the correlation with temperature (>35°C) that the regions with low rainfall (<1000mm) have to witness warmer temperature conditions (>43°C). The difference in maximum and minimum temperature is increasing at the rate of 1°C per five years. The east-west central line of the Bihar, along the river Ganga is found to be the line of division i.e. almost 80% of the area which witness >35°C temperature lies below this line and few 10-20% lies above it. The results for Rn have shown an overall increasing trend over the period of time. The Nepal has a wider stretch of Rn due to its mountain topography followed by the Jharkhand (plateau) and Bihar (plain). The ET has also an increasing trend over the period of time and the results are noticeable for western Bihar-Jharkhand. There is an upward latitudinal shifting of the low rainfall bands in both the pre-monsoon and monsoon conditions. Due to the lack of availability of ground truth data, we have to restrict with the remotely sensed dataset. Since the dataset chosen are well accepted globally, the data inaccuracy is minimal. Hence, the study will help to understand the fluctuation in local weather phenomenon may useful for adapting sustainable strategies to mitigate the climate change effect on local scale. |
Scientific Advisory Committees
Executive ChairmanProf. Ioannis Gitas Section Chairs
Scientific Committees |
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Department of Earth Systems Analysis (ESA) |
GIS & Remote Sensing Group |
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INRIA Sophia Antipolis |
Department of Earth Observation Science (EOS) ITC Faculty, University of Twente PO Box 217 7500 AE, Enschede, The Netherlands |
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Department of Geography |
State Key Lab. LIESMARS, Wuhan University No.129, Luoyu Road, Wuhan 430079, China |
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Department of Electrical Engineering and Information Technology |
Remote Sensing and Spatial Analysis Branch |
Conference Organizers
Chair of the 2nd International Electronic Conference on Remote Sensing
Associate Editor of the Journal Remote Sensing
Laboratory of Forest Management and Remote Sensing
School of Forestry and Natural Environment
Aristotle University of Thessaloniki, Greece
Scientific Advisory Committee
Prof. Norman Kerle, Department of Earth Systems Analysis (ESA), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
Prof. Kevin Tansey, GIS & Remote Sensing Group, Dept. of Geography, University of Leicester, UK
Prof. Daniele Riccio, Department of Electrical Engineering and Information Technology, Faculty of Engineering, University of Napoli Federico II, Napoli, Italy
Dr. Chandra Giri, Remote Sensing and Spatial Analysis Branch, Office of Research and Development, United States Environmental Protection Agency, NC, USA
Prof. Clive Oppenheimer, Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN
Dr. Francesco Nex, Department of Earth Observation Science (EOS), ITC Faculty, University of Twente PO Box 217, 7500 AE, Enschede, The Netherlands
Prof. Gui-Song Xia, State Key Lab. LIESMARS, Wuhan University, No.129, Luoyu Road, Wuhan, 430079, China
Dr. Yuliya Tarabalka, INRIA Sophia Antipolis, 2004, route des Lucioles, 06902 Sophia Antipolis Cedex, France
Adjunct Professor Vincent Ambrosia, Senior Research Scientist / Adjunct Faculty, California State University - Monterey Bay
co-located at: NASA-Ames Research Center, MS 245-4, Bld. 245, Rm. 128, P.O. Box 1, Moffett Field, California, 94035 USA
Prof. Alexander Braun, Department of Geological Sciences and Geological Engineering, Queens's University, Miller Hall, 520 Bruce Wing, Kingston, Ontario, K7L 3N6, Canada
Prof. Mingmin Chi, Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, 314-2 Computer Building, 825 Zhang Heng Road, Shanghai 201203, China
Prof. Jón Atli Benediktsson, Faculty of Electrical and Computer Engineering, University of Iceland, Sæmundargata 2, 101 Reykjavik, Iceland
Prof. Mihai Datcu, German Aerospace Center (DLR), Remote Sensing Technology Institute, Photogrammetry and Image Analysis Oberpfaffenhofen, 82234 Weßling, Germany
Dr. Sangram Ganguly, NASA Ames Research Center and Bay Area Environmental Research Institute Bldg. 19, Suite 2031, NASA Ames Research Center, Moffett Field, CA 94035, USA
Prof. Mario Caetano, NOVA IMS, Universidade Nova de Lisboa and DGT, Portugal
Dr. Igor Savin, V.V. Dokuchaev Soil Science Institute, Agrarian-Technological Institute of RUDN University, Moscow, Russia
Prof. Jing M. Chen, Department of Geography and Planning, University of Toronto, Toronto, Canada
Dr. Jesus San Miguel, European Commission, Rue du Champ de Mars 21, 1050 Brussels, Belgium
Prof. Iain H. Woodhouse, Edinburgh Earth Observatory, School of GeoSciences, UK
Dr. Kyriacos Themistocleous, Department of Civil Engineering and Geomatics, Cyprus University of Technology
Conference Secretariat
Ms. Erika Zhao
MDPI Branch Office, Beijing
E-Mail: [email protected]
Sponsoring Opportunities
For information regarding sponsoring opportunities, please contact the conference secretariat.
Organizing Committee
Dr. Shu-Kun Lin, MDPI AG, Basel, Switzerland
Ms Samanta La Russa, MDPI AG, Basel, Switzerland
Sponsors
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Call for Participation
e-conferences, virtually anywhere. 2nd International Electronic Conference on Remote Sensing
The 2nd International Electronic Conference on Remote Sensing will be held from 22 March to 5 April 2018. ECRS-2 aims to promote and advance the exciting and rapidly changing field of remote sensing and contribute towards outlining the role of earth observation in monitoring the environment for a sustainable future. All proceedings will be held online at https://www.sciforum.net/conference/ecrs-2.
The continuous technological advent in the broader field of remote sensing opens new opportunities and challenges, emanating from the current and future deployment of new sensors and products, the enormous volume of data becoming readily and openly available, and the ever increasing need for environmental sustainability, among others. Contributions from both theoretical and applied perspectives of remote sensing will be covered. Some of the main topics of interest are listed below:
- New Platforms and Sensors
- Big Data Handling
- New Image Analysis Approaches
- Applications
- Product Validation
- Operational Applications and Services
- Recent Trends in UAV Remote Sensing
- Posters: In this section, posters can be presented without an accompanying proceedings paper. Posters will be available online on this website during and after the e-conference. However, will not be added to the proceedings of the conference.
The conference will be completely free of charge—both to attend, and for scholars to upload and present their latest work on the conference platform. There will be a possibility to submit selected papers to the e-conference related Special Issue of the journal Remote Sensing (ISSN 2072-4292; 3.244 (2016); 5-Year Impact Factor: 3.749 (2016); https://www.mdpi.com/journal/remotesensing) with a 20% discount on the APCs. ECRS-2 offers you the opportunity to participate in this international, scholarly conference without having the concern or expenditure of travel — all you need is your computer and access to the Internet. We would like to invite you to “attend” this conference by presenting your latest work. You will be able to present your work in the form of your proceedings paper, optionally you may also contribute a (video) presentation.
Abstracts (in English) should be submitted by 17 December 2016 online at https://www.sciforum.net/login. For accepted abstracts, the proceedings paper can be submitted by 10 February 2018. The conference itself will be held 22 March-5 April 2018.
We hope you will be able to join this exciting event and support us in making it a success. ECRS 2018 is organized and sponsored by MDPI, a scholarly open access publisher based in Basel, Switzerland.
Time Schedule
- Deadline for Abstract Submission: 17 December 2017
- Notification of Acceptance: 20 December 2017
- Deadline for Submission of Conference Proceedings Papers/Posters: 10 February 2018
- Conference Open: 22 March to 5 April 2018
Paper Submission Guidelines
For information about the procedure for submission, peer-review, revision and acceptance of conference proceedings papers, please refer to the section "Instructions for Authors": https://sciforum.net/conference/ecrs-2/page/instructions.
Sponsors
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Partners
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The International Conference on Geographical Information Systems Theory, Applications and Management aims at creating a meeting point of researchers and practitioners that address new challenges in geo-spatial data sensing, observation, representation, processing, visualization, sharing and managing, in all aspects concerning both information communication and technologies (ICT) as well as management information systems and knowledge-based systems. The conference welcomes original papers of either practical or theoretical nature, presenting research or applications, of specialized or interdisciplinary nature, addressing any aspect of geographic information systems and technologies.
Website: http://www.gistam.org
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We are pleased to invite you to submit an abstract and in case of acceptance your paper to this conference. All accepted papers will be published in ISPRS Archives. The ISPRS Archives are listed in the ISI Conference Proceedings Citation Index (CPCI) of the Web of Science, SCOPUS, and the Directory of Open Access Journals (DOAJ). Please note that your manuscript needs to follow the official ISPRS publication guidelines: https://www.isprs.org/documents/orangebook/app5.aspx Another possibility for your papers to be presented at Gi4DM is that authors can publish their papers at the ISPRS Journal of Geo-Information which is an open access journal with an Impact Factor of 1.502 (2016). Instructions for authors are as follows: ************************************************* 1. Please provide a cover-letter to indicate it was a contribution from Gi4DM 2018. 2. Conference papers should be expanded to the size of a research article by adding at least 50% new materials. 3. Editorial Procedures including following parts: pre-check, peer review, revision, decision and publication (rejection). 4. The publishing fees of IJGI will be 1000CHF from 1 January 2018. ************************************************* More detailed information can be found on the journal's website: https://www.mdpi.com/journal/ijgi We invite all scientists, practitioners and decision makers to join the conference by sharing their experiences by presenting papers and participating to the discussions afterwards… |
Data (ISSN 2306-5729) is an open access journal on data in science, with the aim of enhancing data transparency and reusability. The journal publishes in two sections: a section on the collection, treatment and analysis methods of data in science; a section publishing descriptions of scientific and scholarly datasets (one dataset per paper). There is no Article Processing Charges (APCs) for well-prepared manuscripts submitted in 2018 and a first decision is provided to authors approximately 20.5 days after submission; acceptance to publication is undertaken in 5.6 days (median values for papers published in this journal in 2017). The journal is indexed in the Emerging Sources Citation Index (ESCI) - Web of Science.
GeoConnexion International is the leading business-to-business monthly for users of spatial professionals across the globe. It covers applications of GIS, GPS and remote sensing within industry sectors, such as telecoms, emergency services, public safety, government, utilities and retailing.
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View the magazines and Sign Up for free GeoConnexion Newsletter: GeoConnexion.com
RUS environment demo: Mapping waterbodies from space
In this webinar, you will learn about basic methods of mapping waterbodies from space using Sentinel-1 SAR and Sentinel-2 Optical data. We will show you how to access the RUS Service and how to download, process, analyse and visualise the free data acquired by the Copernicus satellites using ESA SNAP Toolboxes.
The ability to accurately map water surfaces is integral to many hydrological scientific and civil applications. Various methods exist and are used on operational basis. In this webinar, we will have a look at the basic methods applied to two types of EO data, Optical and SAR, and we will explore the advantages and disadvantages of each type.
Audience: this webinar is addressed to users at all levels of knowledge, who have an interest in the topic.
Date and Time: Tuesday 3 April at 14.30 CEST
Duration: 1 hour + 20 minutes for Questions & Answers session
Webinar registration: https://attendee.gotowebinar.com/register/562875575990512642
Keynote Speaker
Barbara J. Ryan is Secretariat Director of the intergovernmental Group on Earth Observations (GEO) located in Geneva, Switzerland. In this capacity, she leads the Secretariat in coordinating the activities of 104 Member States and the European Commission and 114 Participating Organizations that are integrating Earth observations so that informed decisions can be made across eight Societal Benefit Areas: Biodiversity and Ecosystem Sustainability; Disaster Resilience; Energy and Mineral Resources Management; Food Security; Infrastructure and Transportation Management; Public Health Surveillance; Sustainable Urban Development; Water Resources Management.
Before becoming GEO Director in July 2012, Ryan served as Director of the World Meteorological Organization (WMO) Space Programme with responsibility for coordinating space-based observations to meet the needs of WMO Members in the topical areas of weather, water, climate and related natural disasters.
Before joining WMO in October 2008, she was the Associate Director for Geography at the U.S. Geological Survey (USGS) in Reston, Virginia where she was responsible for the Landsat, remote sensing, geography and civilian mapping programs of the agency. It was under her leadership that implementation of the Landsat data policy was reformed to release all data over the internet at no additional cost to the user—an action that has resulted in the global release of more than 42 million Landsat scenes to date, and significant economic returns globally.
Ryan holds a Bachelor´s degree in Geology from the State University of New York at Cortland, a Master´s degree in Geography from the University of Denver, and a Master´s degree in Civil Engineering from Stanford University. She has been awarded an honorary doctorate of science degree from the State University of New York at Cortland. She was recently named an Honorary Fellow of the American Geographical Society, and in January 2017, was one of 10 global Leaders to be named to the Geospatial World Forum’s Hall of Fame.
Barbara J. Ryan
Secretariat Director
GEO Secretariat
7bis, avenue de la Paix – Case postale 2300
CH-1211 Geneva 2 – Switzerland
A. New Platforms and Sensors
Dear Colleagues,
The “New Platforms and Sensors” session will focus on the innovative orbital, airborne or marine platforms equipped with new and integrated sensor systems that are planned or soon to be operational. With the proliferation of Remotely Piloted Systems (RPAS/UAS/UAV/ drones, AUV), the remote sensing community is seeing an explosion of interest in data collection from these platforms. We encourage contributions that cover this exciting new platform development arena, as well as innovative integrated sensor systems to accompany those platforms. Innovative remote sensing applications which demonstrate the impacts of new platforms and sensors are also encouraged. Additionally, we invite contributions that highlight the newly operational employment of orbital satellite sensor systems at all spatial scales. Many nations and organizations are launching and operating new Earth monitoring systems, and are looking to expand the visibility of those systems for use by the community. The orbital Earth Observation (EO) realm is also being opened up to commercial enterprises, and is no longer just a domain for space organizations. With the development of SmallSats, MicroSats, and even larger platforms by the commercial community, we see a concomitant increase in interest to use these sensor system data sets for supporting a wide range of Earth system studies. We welcome your input to this broad-based session that will hopefully expose the community to the new innovative platforms and Earth Observation sensors that will evolve in the near future.
Best regards,
Mr. Vincent Ambrosia
Prof. Alexander Braun
Section Chairs
Adjunct Professor Vincent Ambrosia Senior Research Scientist / Adjunct FacultyCalifornia State University - Monterey Bay co-located at: NASA-Ames Research Center MS 245-4, Bld. 245, Rm. 128, P.O. Box 1 Moffett Field, California, 94035 USA |
Department of Geological Sciences and Geological Engineering |
Keywords:
- UAV/UAS/RPAS/drones, AUV
- long-duration LTA platforms
- hyperspectral
- electro-optical
- thermal
- LiDAR, SAR, sonar
- future missions and innovative measurement platforms
Session Chairs
Professor Alexander Braun, Queen's University
Mr. Vincent Ambrosia, CSUMB / NASA-Ames
B. Big Data Handling
Dear Colleagues,
This session on Big Data Handling is intended to collate papers on the latest techniques to manage, exploit, process, and analyze big data in remote sensing applications. The session is expected to bring together experts from different research areas to discover and realize the values of big data in various remote sensing areas. As a result, different techniques and applications exploiting big data will be gathered as a first necessary effort towards the incorporation of this technology into the remote sensing field, and also help academia, governments, and industries to gain insights into the potential of using big data techniques and concepts in remote sensing applications.
Best regards,
Prof. Mingmin Chi
Prof. Jón Atli Benediktsson
Prof. Mihai Datcu
Section Chairs
School of Computer Science, Fudan University 314-2 Computer Building, 825 Zhang Heng Road Shanghai 201203, China |
Faculty of Electrical and Computer Engineering |
German Aerospace Center (DLR) |
Keywords:
- Remote Sensing
- Radar/Lidar/Microwave
- Multispectral/Hyperspectral
- High/Very-High Resolution
- Spatial data
- Social media data
- Big data applications
- Big data analytical techniques
- Big data collection
- Big data (content-based image) retrieval
- Big data evaluation standards
- Big data storage
- Big data visualization
- Cloud computing
- High performance computing
- Supercomputing
Session Chairs
Dr. Mingmin Chi
Dr. Jón Atli Benediktsson
Dr. Mihai Datcu
C. New Image Analysis Approaches
Dear Colleagues,
Large-scale image analysis is key to provide rapid insights and information in the world of big data and real-time intelligence and decision making. Image analysis comes in different forms and there has been extensive research on operational and research algorithms suited for a variety of applications—ranging from airborne surveillance to remote sensing and video analytics from space, to name but a few. New image analysis methodologies can be submitted to this forum and may include advances in new algorithms for pattern recognition, feature enhancement, compression, computer vision innovations, including new scalable deep learning and machine vision algorithms, image fusion, image super-resolution, and topics that may include existing image analysis approaches for specific applications, highlighting computational complexity, inter-comparison of methods, sensor limitations and future challenges.
Best regards,
Dr. Sangram Ganguly
Dr. Yuliya Tarabalka
Section Chairs
INRIA Sophia Antipolis |
NASA Ames Research Center |
Session Chairs
Dr. Yuliya Tarabalka
Dr. Sangram Ganguly
D. Applications
Dear Colleagues,
The “Applications” session will focus on the specifics of remote sensing data usage in agriculture, forestry, meteorology, hydrography, land use planning, natural and anthropogenic disasters, change analysis and relevant research topics which are not limited to this list. We encourage contributions that cover examples of different remote sensing data (satellite based, air born, UAV) application in practice. Additionally, we invite contributions that highlight methodological aspects of remote sensing data usage at different spatial scales for mapping, monitoring, and evaluation of natural resources, including multi-sensor applications. We hope that, as a result of the work of our section, new promising tasks of the practical application of remote sensing data will be revealed. In addition, the effectiveness of remote sensing methods and approaches will be demonstrated, and confirmed.
Best regards,
Dr. Igor Savin
Prof. Mario Caetano
Section Chairs
V.V. Dokuchaev Soil Science Institute, |
NOVA Information and Management School (IMS),
Universidade Nova de Lisboa and Directorate-General for Territory (DGT) |
Keywords:
- Land cover mapping
- Land cover monitoring
- Land use mapping
- Land use monitoring
- Land evaluation
- Land use planning
- Natural and anthropogenic disasters monitoring, and risk assessment
Session Chairs
Dr. Mario Caetano
Dr. Igor Savin
E. Product Validation
Dear Colleagues,
Validation of remote sensing products is fundamental for Earth Observation. The “Product Validation” session will focus on methods used to derive information on the spatial and thematic quality of remote sensing products at all scales. The current proliferation of satellites and sensors providing global imagery at different spatial resolutions has necessitated provision of a variety of remote sensing products that support the monitoring of events and processes on Earth. However, this profusion of new products is often not accompanied by protocols that help determine the quality of the products. Research is needed to establish protocols for product validation that can help users determine their applicability for Earth resource monitoring. This session welcomes submissions of work on the applicability of Earth Observation data for environmental monitoring with an emphasis on quality assurance and quality control of the resulting products.
Best regards,
Dr. Jesus San Miguel
Prof. Jing M. Chen
Section Chairs
University of Toronto, Toronto, Canada |
European Commission
Rue du Champ de Mars 21
1050 Brussels
Belgium
|
Session Chairs
Dr. Jesus San Miguel
Professor Jing Chen
F. Operational Applications and Services
The main areas of interest of this section are: land, maritime, atmospheric, natural and anthropogenic disasters, change analysis, forest sustainability, food security/global crop monitoring, soil surface and subsurface applications and relevant research topics which are not limited to this list.
Section Chair
Edinburgh Earth Observatory |
Session Chairs
Dr. Iain Woodhouse, The University of Edinburgh
Professor Daniele Riccio
G. Recent Trends in UAV Remote Sensing
Dear Colleagues,
In recent years, UAVs have undergone significant advances in equipment capabilities and now have the capacity to acquire high resolution imagery from many angles in a cost effective, efficient manner. UAVs are used in diverse remote sensing applications such as Earth observation, precision farming, cultural heritage monitoring, urban monitoring, forest management, fire monitoring, disaster prevention, search and rescue, security, mapping and monitoring of desertification industrial plant inspection, 3D mapping, and environmental studies and monitoring. With recent advances in technology, UAVs are also able to include new sensors, such as multispectral, hyperspectral, infrared and thermal cameras, lidar and other sensors.
Best regards,
Dr. Kyriacos Themistocleous
Section Chair
Department of Civil Engineering and Geomatics |
Session Chairs
Dr. Kyriacos Themistocleous
Dr. Norman Kerle
Dr. Francesco Nex, University of Twente - ITC Faculty
H. Posters
In this section, posters can be presented without an accompanying proceedings paper. Posters will be available online on this website during and after the e-conference. However, will not be added to the proceedings of the conference.
Session Chairs
Professor Ioannis Gitas
Dr. Chandra Giri
Dr. Kevin Tansey, University of Leicester
Dr. Gui-Song Xia
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Submissions
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