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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)
Id | Title | Authors | Presentation | ||||||||||||||||||||||||||||||||||||||
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sciforum-004422 | Remote Sensor Data Transmission from Antarctica to Spain with a Long-Haul HF Ionospheric Link | , , , , , , , , | N/A |
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The geophysical observatory in the Antarctic Spanish Station Juan Carlos I (BAE), on Livingston Island (62.6S, 60.4W), has been monitoring the magnetic field in the Antarctic region for more than fifteen years. In 2004, a vertical incidence ionospheric sounder was incorporated to the observatory, which brings a significant added value in a region with low density of geophysical data. A High Frequency (HF) communications system was installed in 2004 in order to transmit the geomagnetic station recordings throughout the year, due to the fact that the BAE is only accessible during the austral summer. As the power supply is very limited when the station is not accessible, we had to design a low-power HF transceiver with a very simple antenna, due to environmental restrictions. Moreover, the flow of information is unidirectional, so the modulation has to be extremely robust since there is no retransmission in case of error. This led us to study the main parameters of the ionospheric channel (Signal to Noise Ratio -SNR-, delay spread, Doppler spread and availability) with narrowband and wideband soundings, and the design of modulations specially adapted to very low SNR scenarios with high levels of interference. In this poster, a review of the design of our remote geophysical observatory and associated transmission system from Antarctica to Spain (12760 km) during the last decade is presented. |
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sciforum-005750 | The Integration of an Operational Fire Hot Spots Processing Chain in a Multi-Hazard Emergency Management Service Platform (PHAROS) | , , , , , , , | N/A |
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The project PHAROS (Project on a Multi-Hazard Open Platform for Satellite Based Downstream Services) designs and implements a multi-hazard open service platform which integrates space-based earth observation, satellite communications and navigation (Galileo/GNSS) assets to provide sustainable (pre-operational) services for a wide variety of users in multi-application domains, such as prediction/early detection of emergencies, population alerting, environmental monitoring and crisis management. While the service platform is designed to be multi-hazard, the specific developments for the pre-operational system and pilot demonstration will be focused on the forest fire scenario. The platform will integrate data from EO satellites and in-situ sensors process it and provide the results to a series of key services for disaster management in its different phases. One of the main concerns is to provide fire hot spots as an input for the PHAROS Simulation Service. These fire hot spots (thermal anomalies) are derived automatically and in near real time (NRT) from MODIS data. The MODIS data are available in a high (1d) temporal and in a medium (250m – 1000m) spatial resolution. For the detection of high temperature events (HTE) the MOD14 algorithm is used. The algorithm is based on the shift of the radiances/reflectance to shorter wavelengths (middle infrared) with an increasing surface temperature. MOD14 is well documented and tested in operational services and guarantees comparability and reproducibility as well as a standardized international acknowledged product. The thermal information is collected at 1000 m spatial resolution twice daily by each sensor (Terra and Aqua) providing up to four thermal observations daily. The MODIS images used for fire detection are acquired from two direct broadcast receiving stations from DLR located in Oberpfaffenhofen and Neustrelitz (Germany). This Poster will give an overview of the processing chain from the reception, the processing and derivation of the fire hot spots to the dissemination in the Pharos system. |
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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-004946 | Investigating Urban Heat Island Effects and Relation Between Various Land Cover Indices in Tehran City Using Landsat 8 Imagery | , |
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Nowadays, global warming has become more interested for scientist, because the global surface temperature has been increased since last century. More than fifty percent of people are living in cities, in this regard, urbanization has become a key factor for global warming. The urban heat island (UHI) refers to the event of higher atmospheric and surface temperatures occurring in cities than in the surrounding rural areas due to urbanization. The annual average air temperature of urban area with almost one million people can be one to three degree warmer than its surroundings. This phenomena can affect societies by increasing summertime, air pollution, air conditioning costs, heat related illness, greenhouse gas emissions and water quality. Tehran, a capital city of Iran is case study of this research. Additionally, Tehran is one of megacities of the world. A megacity is usually defined as a metropolitan area with a total population in excess of ten million people. Due to rapid urbanization progress that has resulted in significant UHI effect in this area. Furthermore, Tehran houses to almost twenty percent of Iranian people. In this study, new launched Landsat series (Landsat 8) was used for monitoring UHI and retrieving the brightness temperatures and land use/cover types. The Landsat 8 carries two kind of sensors: The Operational Land Imager (OLI) sensor has former Landsat bands, with three new bands: a deep blue band for coastal/aerosol studies (band 1), a shortwave infrared band for cirrus detection (band 9), and a Quality Assessment band. The Thermal Infrared Sensor (TIRS) sensor provides two high resolution (near to 30 meters) thermal bands (band 10, 11). These sensors both use corrected signal-to-noise (SNR) radiometric quantized over a 12-bit. Corrected SNR performance cause better determination of land cover type. Moreover, Landsat 8 images incorporate two valuable thermal bands in 10.9 µm and 12.0 µm. These two thermal bands improve estimation of UHI by incorporating split-window methods. Recently, quantitative models for urban thermal environment and related factors have been studied, for example, the relation between UHI and land cover structure and established corresponding regression equation. Similar works have been done and models of the relation between the surface temperature and various vegetation Indices have been established. In order to monitor the relationship between UHI and land cover indices, this paper tried to employ a quantitative approach for exploring the relationship land surface temperature and common land cover indices and select suitable indices by incorporating supervised Feature Selection (FS) procedures, including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), Normalized Difference Water Index (NDWI) in two definition, Normalized Difference Bareness Index (NDBaI), Normalized Difference Build-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), Bare Soil Index (BI), Urban Index (UI), Index-based Built-Up Index (IBI) and Enhanced Built-Up and Bareness Index (EBBI). In this regards, the objectives of this research are to develop a non-linear analysis model for urban thermal environment by employing Support Vector Regression (SVR) method and Multivariate Regression (MR) algorithms. In addition, providing the hazard map for Tehran city is also one of the byproducts of proposed methods for managing and mitigating UHI effects. |
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sciforum-004460 | Mobile Vehicle Weight Sensor and Its Application in Transportation (Case Study: Municipal Solid Waste Collection Vehicles) | N/A |
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In recent years, due to the expansion of the vehicles transportation system and concerns about the lack of accurate calculation of vehicle weight, a system that is able to calculate the vehicle's weight at any moment, it seems necessary. Given that the transportation electronic management is related to the location and movement data of vehicle, the information about movement, speed and time, traveled path, the weight sensors and fuel for the quick and timely decisions are required. Therefore the design and implementation of modern systems for monitoring and control of these devices to make quick decisions and plan codified is essential. In this paper firstly, the different ways of measuring the vehicle weight and the problems of each them has been described then the weight sensor device which is equipped with a AVL system, and its application in urban management (Waste collection) has been described, and finally, the advantages of this devise has been proposed. |
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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