7th International Conference on Cartography & GIS Seminar with EU cooperation on Early Warning and Disaster Management Sozopol, Bulgaria, 18-23 June 2018
Organized by International Cartographic Association, Bulgarian Cartographic Association and University of Architecture, Civil Engineering and Geodesy, Sofia, Bulgaria.
The event will be held during Bulgarian Presidency of the Council of the EU, 2018.
Upon very successful events in 2006, 2008, 2010, 2012, 2014 and 2016, 7th edition of the International Conference on Cartography and GIS (ICC&GIS) is organized in Bulgaria.
As a part of the conference several other events will be held during 18-23 June:
28 February 2018 - Early registration
1 May 2018 - Regular registration
Advances of space geodesy over the past decade have enabled transformative research progress in hydroclimatic change sciences with direct observations of basin, regional and global scale water storage/flux changes, glacier/ice cap/ice sheet mass balance, sea level change, permafrost/cold region hydrology, and contributing to applications, such as water resources and disaster management related to floods and droughts. Satellite gravimetry (e.g., GRACE and GOCE) has revolutionized our understanding of the Earth’s gravity field changes, and the inferred mass transport and redistribution. This research should be greatly enhanced with the upcoming launch of the GRACE-FO mission in early 2018. Other space geodetic technologies, such as GNSS and InSAR, complement satellite gravimetry by providing high spatial and temporal resolution measurement of crustal deformation, resulting from hydrological mass loading or groundwater depletion. Satellite altimetry (e.g., radar/laser/SAR altimetry) contributes to new measurements and understanding of water level/storage variations in rivers, lakes, and reservoirs, river runoff, as well as crustal deformation measurements over flat terrain. In addition, efforts improving data products from ongoing radiometric remote sensing measurements (MODIS, ASTER, TRMM, GPM, SMAP, etc.), now bring new insights into various water flux/storage components (e.g., precipitation, evaporation, runoff, soil water, etc.), and provide forcing data and important constraints on hydrological modeling via data assimilation. The entry of GNSS reflectometry (GNSS-R) completes the portfolio by providing new technologies for measuring changes in ice roughness, soil moisture, and vegetation conditions, and water level changes in water bodies and wetlands with proposed satellite missions having more accurate payloads, e.g., dual-frequency GNSS-R receivers.
In summary, various space, airborne, and surface geodetic and remote sensing observations at different spatiotemporal scales collectively have advanced our understanding of global and regional water cycling and climate extremes/change. These technologies are now pushing the boundary of research into hitherto un-imagined territories, such as food security etc. The workshop solicits papers, including but not limited to, cross-disciplinary hydrologic science and applications using one or more satellite data sets, and data processing methodologies which would enhance spatiotemporal resolutions and isolates the hydrologic signals of interest.
The workshop aims to bring together international geodesists, hydrologists, and researchers in Earth sciences who work with multiple geodetic observations and remote sensing technologies in hydrological research related to global change.
Contributors to the workshop are encouraged to submit manuscript to a special issue of Remote Sensing. More information can be found at http://www.mdpi.com/journal/remotesensing/special_issues/GRACE
Sensors are vital components of smart manufacturing, artificial Intelligence, Cyber–Physical System (CPS) and Internet of Things (IoT) for industry 4.0. For more advanced creations, biologists, engineers, physicists and chemists are all endeavoring to provide innovative technical sensors. This year, 2018, the well-known journal, Sensors, is going to hold the international conference in Kenting, which is located in the south of Taiwan—taking place in Asia for the first time. I3S embraces all professionals from industry, academia and government to discuss the latest developments and breakthroughs of sensor technology and related subjects. During the conference, attendees, from a range of research areas, will all gather together to share different aspects and establish new mutually beneficial collaborations across different fields.
We sincerely look forward to your participation in I3S2018.
We are pleased to invite you to participate in the first Symposia of Remote Sensing (RS) as part of the World Congress of Soil Science, to be held in Rio de Janeiro, Brazil, 12–17 August, 2018; it will be composed of key speeches, and selected oral and poster presentations. The importance of RS as a ´partner´ in soil science is not new, and dates back more than 100 years (i.e., aerial photographs). Since then, much equipment has been developed, and from a simple tool, RS has become an innovative scientific discipline. The symposia will host some important figures in the area: Prof. Eyal Ben-Dor who was behind the Near Infrared Reflectance Analysis of soils and was the first scientist and pioneer to apply Hyper Spectral Remote Sensing technology to soils; and Prof. José Alexandre Demattê who was the first full professor in RS and soil spectroscopy in Brazil. In addition to the above two scholars, we have the honor of presenting Prof. Marcos Rafael Nanni as the third leading figure organizing this session. Prof. Nanni is an expert in proximal and remote sensing of soil, and has worked in RS with drones and AISA-Fenix airborne hyperspectral sensors. Today, he is the head of one of the most powerful and well-equipped groups on proximal and remote sensing of soils in Brazil. In addition to the organizers’ short presentation, we will have two important keynote speeches, from Prof G. Zalidis: Promoting Remote Sensing Applications for Optimizing Soil and Water Management Supporting Climate Smart Agriculture in the Balkan Region; and from Prof. J. Cierniewski: Remote Sensing as a Tool to Study Soils and Their Impact on the Earth’s Climate. This is a great opportunity to improve the status of remote sensing in the soil science discipline and be part of history. Thus, we encourage all researchers and users to register and be part of this Special Issue. In addition to the publication of abstracts at the Congress, selected papers will be invited for publication, in full-paper form, in this Special Issue of Remote Sensing.
Deadline for Submissions to the Congress: 20 January 2018
Directions for submission: To make an adequate submission to the session, access the 21st World Congress of Soil Science at www.21wcss.org, Go to Registration process. In the Participant Area, go to Send Abstract, Select Division 1: Soil in Space and Time. Click on Symposia, Select C1.2 - Soil geography, Select C1.2.2 - Remote sensing applied to soil science. Fill in your application.
Topics of Interest for Submission/Objectives, Poster/Oral Presentations
Papers related to remote sensing and soils of any specific area (erosion, physics, fertility, chemistry, microbiology, mineralogy, soil classification, mapping, pollution, soil management) will be welcome. In addition, other topics, such as (a) updating remote sensing technology for soil science applications; (b) soil remote sensing data analyses by chemometric methods; (c) integration of the multi and hyperspectral sensors data for soil science; (e) use of remote sensing data in digital soil mapping, (f) precision agriculture, (g) soil attributes prediction, land use, soil monitoring and soil environment impact; (h) available platforms and data bases for soil remote sensing studies; (i) integration of remote sensing with soil science; (j) data-mining soils in remote images; (k) integration of proximal with remote sensing soil data, (l) reviewing the new technology and missions for future soil science; (m) proximal sensing papers related to remote sensors; (n) all platforms: satellites, airborne, Unmanned Aerial Vehicles (UAVs); (o) sensors from any part of the spectrum (i.e., gamma, x-ray, ultraviolet, optical, middle infrared, radar, others) are welcome.
The 3rd Virtual Geoscience Conference will be held in the beautiful Limestone City, Kingston, Canada, August 22-24, 2018. This is the premier conference for researchers, government, and industry members conducting innovative research in close range remote sensing and computer visualization applied to the geosciences. This year’s meeting focus is on the theme of immersive geoscience and novel developments in virtual and augmented reality. The broad focus of the conference series allows geoscientists from a variety of subdisciplines to share experience with the latest tools, software, and, technological innovations.
Abstract submission for the conference has been extended to March 30, 2018. Submission must be made using the conference submission page. The organizing committee is looking forward to reading your latest virtual-geoscience-themed abstracts.
We are excited to have four keynote speakers confirmed for VGC 2018:
1) Dr Nick Hedley, Director of the Spatial Interface Research Lab - a geovisual interface think tank - and a professor of geovisualization and spatial interface research in the Department of Geography at Simon Fraser University, Canada.
2) Dr Joseph Wartman, Director of Natural Hazards Reconnaissance Facility at the University of Washington, USA.
3) Dr Regula Frauenfelder, Physical Geographer at the Norwegian Geotechnical Institute.
4) Dr Helen Reeves, Science Director for Engineering Geology & Infrastructure at the British Geological Survey.
Short Course and Field Trip
We will be offering a short course on remote sensing applications to geohazards research and a local field trip exploring the local geology of the Kingston area on 22 August, 2018. More details can be found on the VGC short course page. Participants can also register on the conference registration page.
Sponsorship and Tradeshow Booths
We would like to thank BGC Engineering, Esri, the Geological Remote Sensing Group, and the VOG group for supporting VGC 2018. We would also like to thank GIM international and Remote Sensing journal for partnering with VGC.
We have a variety of sponsorship opportunities and trade show booth options still available. Please contact the organizing committee for more information: firstname.lastname@example.org.
The idea of the CoSeRa workshops is to join world-class scientists, engineers and educators engaged in the fields of Compressive Sensing (CS) with a wide scope of applications to Radar, optical and nonoptical 2D/3D imaging, material analysis surface and subsurface inspection by ultrasonic, microwave, TeraHertz as well as X-ray techniques. CoSeRa covers the complete sensoric chain from novel type of sensors, hardware concepts over sensor signal processing to high level information extraction/mining concepts adopting the paradigms of CS at every stage.
Originally intended as a new sensing paradigm to overcome the limitations of Shannon/Nyquist’s sampling theorem under certain (and well defined conditions), compressed sensing has meanwhile turned into a novel way of thinking or looking at the complete world of sensorics and sensor information extraction. The idea of “sparse or parsimonious modelling (putting Occam’s razor into the centre of interpreting physical phenomena) in itself is much older than the compressed sensing theory, but it is without doubt the merit of mathematical CS, to have introduced the background to give sufficient conditions under which sparse modelling concepts can turn nominally underdetermined systems of equations into well behaved, even over determined systems of equations and furthermore to prove optimality for such cases. In parallel the power of using sparsity as (not necessarily the only) one important regularization constraint in inversion algorithms developed, opening up the door to the world of optimization theory.
In a certain way the concepts and paradigms of Compressive Sensing may be considered as the answer to the curse of exploding data dimensions, which is modernistically and popularistically coined, but not solved by the term “big data”. Compressive Sensing substitutes the term “big” by “smart”.
Yet as the name indicates it will be always the sensoric problems arising from the applications which determine the background and allow to formulate the application dependent constraints, still obeying Occams’s razor, however. It is exactly this engineering embedding which turns abstract mathematical models with the least possible number of prior assumptions into valid engineering models with the maximum possible number of additional but “non informative priors” in order to extract the highest possible information amount out of noisy data.
Upon this background, we believe that the combination of invited key-speeches and contributed talks will allow the formation of a most interesting technical program and setup the stage for an extremely productive interaction and exchange between mathematicians, engineers and application domain people.
As any interaction and cooperation of experts can only grow within the scope of a holistic workshop concept respecting all levels of communication, we are additionally taking highest efforts to not only setup up a scientifically and technically outstanding programme, but also to make its participants feel be taken extremely good care of, with a thrilling social and also accompanying persons programme. Siegen and its surroundings offer an abundance of opportunities, beautiful landscape (Siegen is the greenest city of Northrhine Westfalia), forests lakes, wildlife Wisent resorts and last but not least, one world known brewery (“Krombacher”) where a visiting excursion will be part of the social programme.
With intensive and careful planning underway we anticipate a technically outstanding and most pleasant workshop.
We look forward to seeing you in Siegen in September 2018.
Otmar Loffeld, Gitta Kutyniok, and Joachim Ender
(Co-chairs of CoSeRa 2018)
The 2018 International Workshop on Big Geospatial Data and Data Science (BGDDS 2018) will be held in Wuhan, China on September 22–23. This conference is co-organized by Wuhan University, IEEE Geoscience and Remote Sensing Society (GRSS) Earth Science Informatics Technical Committee (ESI TC) and Open Geospatial Consortium (OGC) China Forum, and hosted by School of Remote Sensing and Information Engineering, Wuhan University.
Over the past decade, the Earth observing data managed and processed by information systems have increased from the terabyte level to the petabyte and exabyte levels. The rapid development of sensor and cyberinfrastructure technologies makes Earth observing (EO) data, which are generated by global and local sensor systems/networks measuring the state of Earth, an important part of Big Data. The data are not only bigger than before, but also have increased complexity due to their very special characteristics of volume, variety, velocity, value, veracity, and variability. The big EO data means that capabilities of traditional data systems and computational methods are inadequate to deal with these characteristics. Today, in addition to analysis of EO data only, Earth scientists are also using social and economic data to complement EO data to gain a better understanding of the social-economic-environmental systems. Infrastructure-based researches are being leveraged to enable fast analysis of the data.
The trends on big EO data lead to some questions that the Earth science community needs to address. Are we experiencing a paradigm shift in Earth science research now? How can we better utilize the explosion of technology maturation to create new forms of Earth observing data processing? Can we summarize the existing methodologies and technologies scaling to big EO data as a new field named “Earth Data Science”? Big data technologies are being widely practiced in Earth sciences and remote sensing communities to support EO data access, processing, and knowledge discovery. The data-intensive scientific discovery, named as the fourth paradigm, leads to the data science in the big data era. According to the definition by U.S. NIST (National Institute of Standards and Technology), the data science paradigm is the “extraction of actionable knowledge directly from data through a process of discovery, hypothesis, and hypothesis testing”. The Earth Data Science is the art and science of applying data science paradigm to Earth observing data.
This workshop intends to identify significant trends and technological approaches in computing/storage/modelling infrastructures, data lifecycle management, and big data analytics, along with the development of relevant standards that enable Earth Data Science. The technical content will cover not only a variety of data models, computing methods, data storage solutions, and integrated modelling strategies, but also the increasing number of Earth data analytic methodologies borrowed from transfer learning, Mathematics, artificial neural networks and deep learning. The emphasis will be how those technologies change the way geospatial activities including geospatial data management, data processing, data analytics, and applications are being conducted.
The topics of the conference include but are not limited to:
For further information regarding BGDDS 2018, please contact: email@example.com,
With support from IUFRO Division 4 (Forest Assessment, Modelling and Management), particularly 4.01.00, 4.03.00 & 4.04.02 and Division 5, particularly Working Group 5.01.04 (Wood Quality Modelling), the Department of Forest and Wood Science at the University of Stellenbosch is proud to host an international conference on future-focussed forest modelling: New Frontiers in Forecasting Forests 2018.
This meeting will be an international conference to
in models predicting future forest growth, yield and wood properties.
An important objective of the meeting is to explore and discuss how new frontiers in forest modelling research can be implemented to empower decision makers and deliver impact, particularly in the context of changing international climate and market conditions.
The scientific committee identified the following key themes for the conference: