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The 2nd International Electronic Conference on Remote Sensing
2018-03-22 to 2018-04-05
online

Welcome from the Chair of the 2nd International Electronic Conference on Remote Sensing
Dear colleagues,
We are very pleased to announce that the 2nd International Electronic Conference on Remote Sensing (ECRS-2) will be held online between 22 March and 5 April 2018.
Today, remote sensing is already recognised as an important tool for monitoring our planet and assessing the state of our environment. By providing a wealth of information that is used to make sound decisions on key issues for humanity such as climate change, natural resource monitoring and disaster management, it changes our world and affects the way we think.
Nevertheless, it is very inspirational that we continue to witness a constant growth of amazing new applications, products and services in different fields (e.g. archaeology, agriculture, forestry, environment, climate change, natural and anthropogenic hazards, weather, geology, biodiversity, coasts and oceans, topographic mapping, national security, humanitarian aid) which are based on the use of satellite and other remote sensing data. This growth can be attributed to the following: large number (larger than ever before) of available platforms for data acquisition, new sensors with improved characteristics, progress in computer technology (hardware, software), advanced data analysis techniques, and access to huge volumes of free and commercial remote sensing data and related products.
Following the success of the 1st International Electronic Conference on Remote Sensing (http://sciforum.net/conference/ecrs-1), ECRS-2 aims to cover all recent advances and developments related to this exciting and rapidly changing field, including innovative applications and uses.
We are confident that participants of this unique multidisciplinary event will have the opportunity to get involved in discussions on theoretical and applied aspects of remote sensing that will contribute to shaping the future of this discipline.
ECRS-2 (http://sciforum.net/conference/ecrs-2) is hosted on sciforum, the platform developed by MDPI for organising electronic conferences and discussion groups, and is sponsored by MDPI and the Remote Sensing open access Journal.
It should be noted that there is no cost for active participation and attendance of this virtual conference. Experts from different parts of the world are encouraged to submit their work and take the exceptional opportunity to present it to the remote sensing community.
Contributions to ECRS-2 should be submitted in one of the following sections:
• 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
Accepted papers will be published in the ECRS-2 proceedings at no-cost, while full-versions of selected papers will be considered for publication in the Remote Sensing journal (http://www.mdpi.com/journal/remotesensing) at a discounted fee (20% off the APC).

We hope that remote sensing experts from all over the world will share our enthusiasm and benefit from participation at this second ECRS!
Best regards,
Ioannis Gitas

http://sciforum.net/conference/ecrs-2external link

Semantics in the Deep: Semantic Analytics for Big Data - Workshop at the 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018)
2018-05-25 to 2018-05-27
Rhodes, Greece
Recent advances in availability of information on the Internet, storage space and web generated content have paved the way for the advent of Big Data. The well-known 4 Vs (Velocity, Variety, Volume, Value) that characterize Big Data can find a match in intelligent ways for management, manipulation and value-extraction. It is widely acknowledged that the recent surge in AI and especially machine learning is exactly due to these advancements. The Semantic Web can offer a well-studied, although ever advancing, toolbox that can address Big Data requirements and contribute towards their meaningful analysis. Still, there are often issues that need to be tackled with like bootstrapping, efficiency and standardized business processes for semantic analytics to achieve satisfactory results. To this end, machine- and deep-learning techniques, while being shunned in the past, have been shown to have considerable contributions towards Big Data analytics and to overcome Semantic Web inherent limitations.
Therefore, the aim of Semantics in the Deep: Semantic Analytics for Big Data workshop is to bring together researchers and practitioners to look deeper into how Semantic Web technologies can contribute towards Big Data analytics. This can be achieved either by extracting value out of these data (through reasoning), creating sustainable ontology models, offering a solid foundation for deploying learning techniques or anything in between.

https://sedseal2018.ceid.upatras.gr/external link