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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-005019 | Testing a New Approach for ASTER Image Data Sharpening via Using Diverse Principle Components | , , | N/A |
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Image data sharpening is a widely used method to increase a spatial resolution of images with a higher spectral and lower spatial resolution. In our study we focused on sharpening ASTER image data using a high spatial-resolution panchromatic band of WorldView-2 data. Both datasets were acquired within the framework of a geological mapping project in the southwest Mongolia. Primary remote sensing task was to produce mineral maps for the studied area. ASTER data providing several bands in the short wave infrared (SWIR) spectral region has a great potential for geological/mineral mapping. On the other hand, a spatial resolution is rather coarse for the geological mapping at a 1: 50, 000 scale. ENVI and Erdas Imagine software (SW) were used to test the available Principle Component Analysis sharpening algorithm; however satisfactory spectral mapping results have not been achieved. In the commercial SW, the first component (PC) is used for the sharpening process by default, but the 1st PC usually does not contain the main spectral variability considering mineralogy/geology. Therefore, a new approach using the other principal components for image sharpening was tested and compared with the approach available in the commercial SW. New processing was programmed in ENVI/IDL. |
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sciforum-005015 |
Exploiting Satellite-Based Rainfall for Weather Index Insurance: The Challenges of Spatial and Temporal Aggregation
, , Helen Greatrex ,
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Agrotosh Mookerjee ,
,
Jennifer Price
Submitted: 13 Apr 2015 Abstract: Show Abstract |
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,
Helen Greatrex ,
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Agrotosh Mookerjee ,
,
Jennifer Price
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N/A |
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Agricultural productivity patterns are affected by growing season weather risks such as rainfall deficit (meteorological drought), which can develop into persistent soil moisture deficit (agricultural drought), leading to crop yield shortfall or wholesale losses. Weather index-based insurance (WII) is a financial instrument designed to assist smallholder farmers in coping with the impacts of drought through payouts when an index threshold is breached. Critical for operational WII schemes is the skill of capturing the progression of meterological drought (rainfall deficit) to agricultural drought (crop failure), which is not fully represented in statistical correlations of historical data on rainfall deficit and crop yield. This is a non-trivial task. At the core of designing WII products is the requirement for high-quality data over the long-term and in near-real time to provide spatially explicit and internally consistent information on rainfall. Crop yield data with matching space-time characteristics are virtually non-existent and are prone to errors. Moreover, crops yield shortfalls or losses can result from factors other than rainfall such as soil properties and temperature, as well as evaporation and soil moisture dynamics, as crops differ in their sensitivities to the dynamics of water and energy fluxes during the different phonological stages within the growing season. As these factors are key in determining crop production outcomes, we evaluate new space-time volatility indicators based on land surface and crop process modelling using cotton grown in Zambia as a case study. The results from our analysis of cotton production in Zambia suggest that combining rainfall and soil moisture information can inform WII applications at both the design and implementation stages. This is achieved through relating area-specific probabilities of rainfall deficit occurrence and severity to crop-specific water requirements and their sensitivities to agricultural drought. We discuss how this approach can be used to inform operational WII applications by capturing the physical dynamics of agro-meteorological risk along the trajectory of meteorological to agricultural drought. |
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sciforum-005037 | Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval |
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Renhua Zhang ,
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N/A |
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With the development of quantitative remote sensing, regional evapotranspiration modeling based on the feature space has made substantial progresses. Among many remote sensing evapotranspiration models, accurate determination of the theoretical dry/wet lines remains a challenging task. This paper reports the development of a new method, named DDTI (Determination of dry line by Thermal Inertia), which determines the theoretical dry line based on the relationship between thermal inertia and soil moisture. The Simplified Thermal Inertia value estimated in the North China Plain is consistent with the value computed in the laboratory. Two evaluation methods, which are based on the comparison of the location of theoretical dry line and the comparison of Evaporative fraction, were used to assess the performance of the new method DDTI. The location of the theoretical dry line determined by DDTI is higher than the heat energy balance method, which is more reasonable in wet conditions. When compared with the in situ measurement of Evaporative fraction at YuCheng Experimental Station, the ET model based on DDTI reproduces the pixel scale EF with a RMSE(Root Mean Square Error) of 0.071, which is much lower than that based on heat energy balance method with a RMSE of 0.65. Also, the bias between in situ measurements and DDTI method is 0.056,which is ower than that between in situ and the heat energy balance method with a bias of 0.645. |
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sciforum-004806 | Susceptibility Analysis of Landslide in Chittagong City Corporation Area | , | N/A |
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In Chittagong city, landslide phenomena is the most burning issue which causes great problems to the life and properties and it is increasing day by day and becoming one of the main problems of city life. On 11 June 2007, a massive landslide happened in Chittagong City Corporation (CCC) area, a large number of foothill settlements and slums were demolished; more than 90 people died and huge resource destruction took place. It is therefore essential to analyze the landslide susceptibility for CCC area to prepare mitigation strategies as well as assessing the impacts of climate change. To assess community susceptibility of landslide hazard, a landslide susceptibility index map has been prepared using analytical hierarchy process (AHP) model based on geographic information system (GIS) and remote sensing (RS) and its susceptibility is analyzed through community vulnerability assessment tool (CVAT). The major findings of the research are 27% of total CCC area which is susceptible to landslide hazard and whereas 6.5 sq.km areas are found very highly susceptible. The landslide susceptible areas of CCC have also been analyzed in respect of physical, social, economic, environmental and critical facilities and it is found that the overall CCC area is highly susceptible to landslide hazard. So the findings of the research can be utilized to prioritize risk mitigation investments, measures to strengthen the emergency preparedness and response mechanisms for reducing the losses and damages due to future landslide events. |
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sciforum-004801 | Automatic Target Detection in Swath-Sonar Images, Using Texture Based Unsupervised Classification and Blind Source Deconvolution | N/A |
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Although in the field of Underwater Acoustic Imaging a large number Automatic Target Detection (ATD) systems have long been developed and their bibliography has been classified, the present study aims to test the potentiality of using common and widely used feature based image classification approaches against small targets detection in SideScan Sonar (SSS) images by combining them with powerful data mining techniques. Conventional Acoustic Classification Systems (ACS) start by extracting numerous texture descriptors from distinct image neighbourhoods throughout the image and forming large Feature Vectors (FVs). In view of the FVs’ high dimensionality, prior to unsupervised classification, a component analysis technique, usually Principal Component Analysis (PCA), is performed to decompose them into a few un-correlated features that explain the majority of the image’s variance. However, small targets belong to subordinary image information and do not contribute significantly to the total information variance of the SSS image. Furthermore targets tend to be independent image characteristics rather than un-correlated ones. In this study, a newly available technique, called Independent Component Analysis (ICA), that decomposes the FVs into independent sources, is tested against its ability to separate SSS images into targets and background and lead to accurate target classification. The proposed methodological scheme consists of the following stages: 1) windowed feature extraction, 2) ICA decomposition, 3) selection of certain components that enhance potential targets through a maximum curtosis criterion, 4) decision of the number of classes that the selected components need to be clustered into so that they are optimally separated in the Euclidean space through validation indices utilization, 5) unsupervised classification and 6) selection of the class or classes that most possibly correspond to areas containing potential targets via a minimum area definition. The above stages are included in the SonarClass Matlab ACS. The classification precision of the proposed system was assessed using a SSS dataset from Igoumenitsa Harbour, Greece, including more than 85 ground truthed man made targets. The classification accuracy of the proposed system was estimated as Pc=tp/(tp+fp), where tp is the number of true positive (expected) and fp the number of false positive (unexpected) predictions, and was compared to the accuracy of following conventional ACS procedures. The method exhibited unquestionable superiority indicating that ICA may worth further attention by ATD system researchers and developers. |
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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