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1st International Electronic Conference on Remote Sensing
Part of the International Electronic Conference on Remote Sensing series
22 Jun–5 Jul 2015
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- Event Details
Welcome from the Chairs
Welcome from the Chair of the 1st International Electronic Conference on Remote Sensing
22 June to 5 July 2015
It is my great pleasure to welcome you to the 1st International Electronic Conference on Remote Sensing. ECRS-1 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) and in-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-1 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 1st International Electronic Conference on Remote Sensing will be held at www.sciforum.net/conference/ecrs-1, 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.
Call for Papers
The 1st International Electronic Conference on Remote Sensing will be held from 22 June to 5 July 2015. ECRS-1 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-1.
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
- 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.
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 journal Remote Sensing (ISSN 2072-4292; 2.623 (2013); 5-Year Impact Factor: 2.729 (2013); https://www.mdpi.com/journal/remotesensing). ECRS 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.
Abstracts (in English) should be submitted by 13 April 2015 online at https://www.sciforum.net/login. For accepted abstracts, the proceedings paper can be submitted by 22 May 2015. The conference itself will be held 22 June to 5 July 2015.
Paper Submission GuidelinesFor information about the procedure for submission, peer-review, revision and acceptance of conference proceedings papers, please refer to the section "Instructions for Authors": https://www.sciforum.net/conference/ecrs-1/instructions.
Conference Chairs
MDPI AG
[email protected]
[email protected]
[email protected]
[email protected]
Instructions for Authors
Submissions should be done by the authors online by registering with www.sciforum.net, and using the "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 13 April 2015.
- 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 1st International Electronic Conference on Remote Sensing. All authors will be notified by 22 April 2015 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 22 May 2015.
- The manuscripts and presentations will be available on sciforum.net/conference/ecrs-1 for discussion and rating during the time of the conference 22 June to 5 July 2015.
- The Open Access Journal Remote Sensing will publish a Special Issue of the conference proceedings papers. 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.
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). There is no page limit on the length, although authors are asked to keep their papers as concise as possible.
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 P. - 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).
- 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].
List of accepted submissions (28)
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sciforum-005298 | Top-Down Identification of Mixed vs. Residential Use in Urban Areas: Evaluation of Remotely Sensed Nighttime Lights for a Case Study in Cuenca City, Ecuador | , |
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This paper introduces a novel geospatial identification approach to distinguish areas of mixed use from predominantly residential areas within urban agglomerations. Carried out within the framework of the World Bank’s Country Disaster Risk Profiles (CDRP) project initiative - currently being implemented in Central America - global applicability and easy transferability is considered crucial. Therefore global spatial datasets are used throughout in the setup of the disaggregated property stock exposure model, one of the key elements for subsequent disaster risk and loss estimation. After initial urban-rural classification at a 1km grid level, predominantly residential areas need to be identified as opposed to areas of mixed use in order to spatially link accordingly compiled property stock information (e.g. from global tabular databases such as PAGER-STR). Impervious Surface Area (ISA) data based on remotely sensed nighttime lights from the DMSP-OLS sensor are used as proxy to identify areas of peak human activity. Intense lighting in that context is associated with a high likelihood of commercial and/or industrial presence, commonly clustered in certain parts of a city (such as central business districts and or peripheral commercial zones). Areas of low light intensity, in turn, can be considered more likely residential. Several light intensity threshold are tested for Cuenca City, Ecuador, in order to best match the situation on the ground, where local-level cadastral land use data show a 75-25 distribution ratio of residential vs. mixed use. Results will be presented first-hand in this paper and future work will be addressed highlighting the relevance of remote sensing data for top-down modeling approaches at wide spatial scale. |
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sciforum-005194 | Airborne LiDAR and Hyperspectral Data to Support the Seismic Vulnerability of Urban Environments | , , , , , , |
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The seismic vulnerability analysis of urban environments is an operational issue that concerns the comprehensive knowledge of both building structural features and soils geophysical parameters, especially when considering areas that are prone to hydrogeological and seismic disasters. The protection of such environments, together with the population growth and the urbanization processes, requires a multi-disciplinary approach aiming at providing both an effective assessment of urban resources and synthetic parameters for managing post crisis events, restoration activities and search & rescue operations. Within such a framework, airborne Light Detection and Ranging (LiDAR) and Hyperspectral sensors have demonstrated to be powerful remote sensing instruments, whose jointly use allow providing meaningful parameters to describe both the topographic settings of urbanized areas and the buildings properties, in terms of geometrical, spectral and structural features. Based on this rationale, in this study, the operational benefits obtained by combining airborne LiDAR and Hyperspectral measurements are provided to support the seismic vulnerability assessment of urban seismic areas. The digital elevation model as well as the building height and the shape of the observed area are gathered by using airborne LiDAR measurements. Spectral and structural information of urban buildings are provided through the supervised classification of IMSpectorV10E VNIR (wavelength range between 400 and 1000nm subdivided into 503 bands) measurements acquired by the IPERGEO sensor. The objective is to combine the different products provided by LiDAR and Hyperspectral image processing analysis within a Geographic Information System (GIS) platform, to evaluate the intrinsic properties of buildings (e.g. perimeter, covered area, height and type of roofs) together with the topographic features of the surrounding area (e.g. the surface height and slope) for providing synthetic parameters and thematic maps useful for seismic assessment and mitigation purposes, such as: (i) the identification of steep slope areas, (ii) the analysis of building roof typology for supporting the evaluation of structural load conditions, (iii) the detection of critical structures (e.g. asbestos buildings), (iv) the identification of primary roads (in terms of escape or access routes) for supporting search and rescue operations, (v) the analysis of main road conditions after building collapses. Meaningful experimental results, gathered for the historical center of Cosenza city (Italy), allow demonstrating the benefits of the proposed approach for both seismic assessment and mitigation purposes. The present work is supported and funded by Ministero dell'Università, dell'Istruzione e della Ricerca (MIUR) under the project PON01-02710 "MASSIMO" - "Monitoraggio in Area Sismica di SIstemi MOnumentali". |
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sciforum-005196 | Operational Service for the Detection of Vessels and Maritime Activities with Optical Satellite Imagery in Near Real Time - Experiences and Future Aspects | , , , , , , | N/A |
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In the context of the project OpSSERVE - Optical Satellite Services for EMSA (European Maritime Safety Agency) – the European Space Imaging (EUSI) and the German Aerospace Center (DLR) established for the first time a fully operational and near real-time service to detect vessels and maritime activities with optical satellite imagery . The service was implemented in 2013 and contribute to maritime situation awareness, e.g. in order to reduce the risk of maritime accidents, marine pollution and the loss of human life at sea. Since its activation in 2007, EMSA’s CleanSeaNet (CSN) system provides pollution detection services in support of maritime surveillance and decision making for all participating European member states based on SAR satellite data. The main advantage of SAR data is their independence of weather conditions (cloud coverage), but the identification of small vessels is rather difficult. The use of very high resolution (VHR) optical data provides valuable information to identify small vessels. From the VHR optical imagery, actionable information products are created in an automatic processing chain including image pre-processing, data transcription, automatic vessel detection, GUI based interactive vessel and activity detection and finally the delivery of standardized products to EMSA. The service provides access to globally collected satellite imagery and receives data and derived products in near real-time (1 or 3 hours). In OpSSERVE, five satellite missions are available: WorldView-1, WorldView-2, GeoEye-1, IKONOS and EROS-B. The poster will present the experiences of the operational service and give an overview on future aspects and possible applications. |
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sciforum-005041 | Soil Moisture Mapping in Vegetated Area Using Landsat and Envisat ASAR Data | N/A |
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Physical modelling is usually a complicated way to estimate soil moisture content, while machine learning algorithms have the potential to retrieve information from remote sensing data. In this study, the neural network, one of the most common machine learning algorithms, was used to map soil moisture from active microwave and optical data in combination. The study area was set in the middle stream of Heihe River Basin in China, from where Landsat and Envisat ASAR data were acquired in July 2008. The neural networks were trained with ground truth data and input parameters extracted from remote sensing data including bands information, Normalized Difference Vegetation Index (NDVI), Brightness Index (BI), the dual polarizations (HH and VV) and the ratio (HH/VV). Compared to an existing output of an empirical model with purely Envisat ASAR data in the same area (with R2=0.71), this study showed a slightly better correlation between the measured and estimated soil moisture (R2=0.75). It also revealed that the model with multi-source data had a better performance than the one with only a single source data, and that the selection of input parameters and the number of hidden layers and nodes can also affect the model's accuracy. Finally, the verified model was applied to the whole study area, and it was showed that this method has operational potential for estimating soil moisture under vegetated area in the middle stream of Heihe River Basin. |
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sciforum-004453 | Multi-Temporal Pixel Trajectories of SAR Backscatter and Coherence in Tropical Forests |
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Astrid Verhegghen ,
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Francesco Holecz
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Forest cover dynamics and disturbance can be tracked using a pixel based time-series analysis of multi-temporal Interferometric Synthetic Aperture Radar (InSAR) backscatter and coherence data. In particular, derived features from pixel trajectories in time can be a powerful tool to map changes in tropical forest, where deforestation and forest degradation occur driven by a series of processes such as fire, selective logging, subsistence agriculture and complete clearance of forest due to large scale deforestation. The research presents results from tropical forest environments in Cameroon, Republic of Congo and Indonesia. Several SAR data with different frequency and resolution were tested including ENVISAT ASAR, ALOS PALSAR and TanDEM-X. Furthermore, the analysis was undertaken on both TanDEM-X backscatter and coherence at HH polarization. Multi-temporal coherence was employed due to its sensitivity to the upper canopy volume, which causes decorrelation as a function of the amount of vegetation (e.g. disturbance event). A pixel trajectory is defined as a set of values of all resolution elements (backscatter or coherence) at the same row and column position in the stack of images. The stack is generated by multi-resolution analysis (MRA) at a number of spatial resolutions, enabling analysis in the combined time and space domains. Analysis of the trajectories over an area by means of a set of parameters (features) that characterize its time evolution can give insight on the nature and changes of landcover. The following set of trajectory features was computed: running ratios with respect to a baseline year, linear fitting (trend), coefficient of determination (goodness of fit), dispersion around trend, maximum change relative to mean (swing) and statistics of first derivative (variance, kurtosis). These features are designed to detect in each pixel trajectory the presence of a linear trend, the stationary of the distribution around the linear regression, the occurrence of intermittent events, and the dynamic range of the changes. |
List of Authors (94)
Conference Organizers
Dr. Ioannis Gitas
Laboratory of Forest Management and Remote Sensing
School of Forestry and Natural Environment
Aristotle University of Thessaloniki, Greece
Associate Editor of the Journal Remote Sensing
Scientific Advisory Committee
Prof. Thomas Blaschke, Department of Geoinformatics, University of Salzburg, Austria
Dr. Ioannis Gitas, Aristotle University of Thessaloniki, Greece
Dr. Chandra Giri, USGS Earth Resources Observation and Science (EROS) Center, Nicholas School of the Environment/Duke University, USA
Prof. Dr. Steffen Kuntz, Earth Observation, Airbus Defence and Space, Friedrichshafen, Germany
Dr. Nicola Masini, CNR-IBAM (National Research Council, Institute for Archaeological and Architectural Heritage), Tito Scalo, Italy
Prof. Dr. Daniele Riccio, Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Italy
Dr. Dongdong Wang, Department of Geographical Sciences, University of Maryland, USA
Prof. Dr. Iain Woodhouse, School of GeoSciences, University of Edinburgh, UK
Organizing Committee
Dr. Shu-Kun Lin, MDPI AG, Basel, Switzerland
Ms Samanta La Russa, MDPI AG, Basel, Switzerland
List of Keynotes & Videos
Narrowband and Wideband Channel Sounding of an Antarctica to Spain Ionospheric Radio Link
A. New Platforms and Sensors
The main areas of interest of this section are: hyperspectral, UAVs, LiDAR, SAR, future missions and relevant research topics which are not limited to this list.
Section Chair:
Prof. Dr. Steffen Kuntz, Earth Observation, Airbus Defence and Space, Friedrichshafen, Germany
Session Chair
Professor Steffen Kuntz
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B. Big Data Handling
The main areas of interest of this section are: spatio-temporal archives and analysis, high resolution global products and relevant research topics which are not limited to this list.
Section Chair:
Dr. Chandra Giri, USGS Earth Resources Observation and Science (EROS) Center, Nicholas School of the Environment/Duke University, USA
Session Chair
Dr. Chandra Giri, USGS EROS
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C. New Image Analysis Approaches
The main areas of interest of this section are: new algorithms, GEOBIA, multiscale, multi-sensor, super resolution mapping and relevant research topics which are not limited to this list.
Section Chair:
Prof. Dr. Daniele Riccio, University of Napoli Federico II, Department of Electrical Engineering and Information Technology, Napoli, Italy
Session Chair
Professor Daniele Riccio
D. Applications
The main areas of interest of this section are: land, maritime, atmospheric, natural and anthropogenic disasters, change analysis and relevant research topics which are not limited to this list.
Session Chair
Dr. Dongdong Wang, University of Maryland
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:
Prof. Dr. Iain Woodhouse, School of GeoSciences, University of Edinburgh, UK
Session Chair
Dr. Iain Woodhouse, The University of Edinburgh
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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.
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