2017 REMOTE SENSING - SPIE · We cordially invite you to participate in the 2017 SPIE Remote Sensing symposium. Over the past 23 years SPIE Remote Sensing has become the largest and

TEL: +44 29 2089 4747 · [email protected] i

CALL FOR PAPERS

Submit Abstracts by 13 March 2017www.spie.org/rscall

Doubletree Hilton HotelWarsaw, Poland

Conferences: 11–14 September 2017Exhibition: 12-13 September 2017

CONNECTING MINDS. ADVANCING LIGHT.

CO-LOCATED WITH SPIE SECURITY + DEFENCE

REMOTESENSING•

2017

• Image and Signal Processing for Remote Sensing

• Remote Sensing for Environmental Monitoring, GIS Applications, and Geology

• Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing

• High-Performance Computing in Geoscience and Remote Sensing

• Remote Sensing Technologies and Applications in Urban Environments

PRESENT YOUR WORK IN WARSAWSPIE Remote Sensing 2017 is an important international event focused on highlighting the most recent advances in remote sensing applications and technologies.

TECHNOLOGIES

Conferences: 11–14 September 2017

Edinburgh Doubletree Hilton HotelWarsaw, Poland

• Remote Sensing for Agriculture, Ecosystems, and Hydrology

• Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions

• Sensors, Systems, and Next-generation Satellites

• Remote Sensing of Clouds and the Atmosphere

• Optics in Atmospheric Propagation and Adaptive Systems

• Active and Passive Microwave Remote Sensing for Environmental Monitoring

2017

Submit Abstracts by 13 MARCH 2017

www.spie.org/rscall

We cordially invite you to participate in the 2017 SPIE Remote Sensing symposium.

Over the past 23 years SPIE Remote Sensing has become the largest and most prestigious annual international meeting on this subject in Europe.

Each year comprehensive coverage of scientific topics are presented, such as, remote sensing applications, sensors, systems, and satellite platforms. With more than 25 countries represented at every meeting, the event provides a unique opportunity for scientists, engineers, programme managers and policy makers from around the world to learn about the trends, recent developments and achievements in the area of remote sensing. Attendees exchange ideas, as well as present and discuss the most recent developments and applications.

The 2017 symposium in Warsaw, Poland, will be the 24th in this series and follows last year’s successful symposium in Edinburgh, United Kingdom. This year we offer eleven conferences covering the most exciting and prosperous areas in the field of remote sensing:

Christopher M. U. NealeUniv. of Nebraska Lincoln, Daugherty Water for Food Institute (United States)

Klaus Schäfer Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research (Germany) (retired)

PLAN TO PARTICIPATE

• Remote Sensing for Agriculture, Ecosystems, and Hydrology

• Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions

• Sensors, Systems, and Next-generation Satellites

• Remote Sensing of Clouds and the Atmosphere

• Optics in Atmospheric Propagation and Adaptive Systems

• Active and Passive Microwave Remote Sensing for Environmental Monitoring

The conferences are designed to meet the scientific, technical, and particularly the business needs of the remote sensing community. Each conference will include oral and poster presentations with top researchers and company representatives as invited speakers.

In addition, the conferences include information that is up to date and thus represents one of the finest training opportunities and sessions in the world for practical remote sensing as well as research training. The 2017 symposium will pursue encouraging special sessions and training related talks addressing sensor calibrations and related accuracy assessments in all of the above conferences. Additionally, a Plenary Session will be organized on the public use of remote sensing networks with mobile devices for forecasting: terrestrial and space weather; atmospheric conditions, climate, air quality, natural disasters as well as agricultural and industrial activity.

The 24th SPIE Remote Sensing symposium will be co-located with the 14th SPIE Security + Defence. Explore new opportunities to collaborate with partners from other fields of activity. Showcase your multidisciplinary research and applications in this major international forum.

The Organising Committee of SPIE Remote Sensing invites you to submit papers for presentation and for publication in this historically important and very exciting meeting. Help to make it a symposium of the highest quality. We look forward to seeing you in the historical city of Warsaw.

• Image and Signal Processing for Remote Sensing

• Remote Sensing for Environmental Monitoring, GIS Applications, and Geology

• Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing

• High-Performance Computing in Geoscience and Remote Sensing

• Remote Sensing Technologies and Applications in Urban Environments

Stanislaw Lewinski Space Research Centre, Polish Academy of Sciences (CBK PAN), (Poland)

SYMPOSIUM CHAIR SYMPOSIUM COCHAIRS

MANAGED BY

SPIE Europe Ltd., a subsidiary of SPIE, is a not-for-profit UK-registered company serving SPIE constituents throughout Europe as an advocate and liaison to political and industry associations within the European optics and photonics community.

In addition to providing membership services, SPIE Europe Ltd. organises and manages internationally recognised conferences, education programmes, and technical exhibitions featuring emerging technologies in optics and photonics.

SPIE Europe 2 Alexandra Gate Ffordd Pengam Cardiff, CF24 2SA Tel: +44 29 2089 4747 Fax: +44 29 2089 4750 [email protected]

SPONSOR

COOPERATING ORGANISATIONS

Conferences: 11–14 September 2017Exhibition: 12-13 September 2017Doubletree Hilton Hotel, Warsaw, Poland

Jean-Loup Bézy, European Space Research and Technology Ctr. (Netherlands)

Charles R. Bostater, Florida Institute of Technology (USA)

Lorenzo Bruzzone, Univ. degli Studi di Trento (Italy)Nektarios Chrysoulakis, Foundation for Research and

Technology-Hellas (Greece)Adolfo Comerón, Univ. Politècnica de Catalunya (Spain)Thilo Erbertseder, Deutsches Zentrum für Luft und

Raumfahrt e.V. (Germany)Thomas Esch, Deutsches Zentrum für Luft und

Raumfahrt e.V. (Germany)Szymon Gladysz, Fraunhofer-Institut für Optronik,

Systemtechnik und Bildauswertung (Germany)Bormin Huang, Univ. of Wisconsin-Madison (USA)Evgueni I. Kassianov, Pacific Northwest National Lab.

(USA)Toshiyoshi Kimura, Japan Aerospace Exploration

Agency (Japan) Stanislaw Lewinski, Space Research Ctr., Polish

Academy of Sciences (CBK PAN) (Poland)Sebastian López, Univ. de las Palmas de Gran Canaria

(Spain)Antonino Maltese, Univ. degli Studi di Palermo (Italy)Stelios P. Mertikas, Technical Univ. of Crete (Greece)Ulrich Michel, Jade Univ. of Applied Sciences (Germany)Christopher M. U. Neale, Univ. of Nebraska Lincoln

(USA)Steven P. Neeck, NASA Headquarters (USA)Xavier Neyt, Royal Belgian Military Academy (Belgium)Doina N. Nicolae, National Institute of Research and

Development for Optoelectronics (Romania)Claudia Notarnicola, EURAC-Institute for Applied

Remote Sensing (Italy)Nazzareno Pierdicca, Univ. degli Studi di Roma La

Sapienza (Italy)Emanuele Santi, Istituto di Fisica Applicata Nello

Carrara (Italy)Klaus Schäfer, Karlsruhe Institute of Technology

(Germany)Karsten Schulz, Fraunhofer Institute of Optronics,

System Technologies and Image Exploitation IOSB (Germany)

Haruhisa Shimoda, Tokai Univ. (Japan)Upendra N. Singh, NASA Langley Research Ctr. (USA)Karin Stein, Fraunhofer Institute of Optronics,

System Technologies and Image Exploitation IOSB (Germany)

Zhensen Wu, Xidian Univ. (China)

TECHNICAL COMMITTEE

SPIE REMOTE SENSING 2017 · WWW.SPIE.ORG/RSCALL2

RS101 Remote Sensing for Agriculture, Ecosystems, and Hydrology . . . . . . . . . . . . . . . . . . . . . . . 5 (Neale, Maltese)

RS102 Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water . . . . . . . . . . . . 7 Regions 2015 (Bostater, Mertikas, Neyt)

RS103 Sensors, Systems, and Next-generation Satellites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 (Neeck, Kimura, Bézy)

RS104 Remote Sensing of Clouds and the Atmosphere . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 (Kassianov, Comeron, Schäfer)

RS105 Optics in Atmospheric Propagation and Adaptive Systems . . . . . . . . . . . . . . . . . . . . . . . . . 11 (Stein, Gonglewski)

RS106 Active and Passive Microwave Remote Sensing for Environmental Monitoring . . . . . . 12 (Notarnicola, Pierdicca, Santi)

RS107 Image and Signal Processing for Remote Sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 (Bruzzone)

RS108 Earth Resources and Environmental Remote Sensing/GIS Applications . . . . . . . . . . . . . 14 (Michel, Schulz)

RS109 Lidar Technologies, Techniques, and Measurements for Atmospheric Remote . . . . . . .15 Sensing (Singh, Nicolae)

RS110 High-Performance Computing (Huang, López, Wu) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

RS111 Remote Sensing Technologies and Applications in Urban Environments . . . . . . . . . . . . 17 (Ebertseder, Esch, Chrysoulakis)

General Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

Abstract Submission . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Exhibition - SPIE Security + Defence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20

Contents

Submit your abstract today: www.spie.org/rscall

CALL FOR PAPERS

TEL: +44 29 2089 4747 · [email protected] 3

Image and Signal Processing for Remote Sensing

10004-12: Individual tree detection in orchards from VHR satellite images using scale-space theory, Milad Mahour, Univ. of Twente (Netherlands)

Earth Resources and Environmental Remote Sensing/GIS Applications

10005-17: Estimation of forest surface fuel load using lidar, Yang Chen, Monash Univ. (Australia) and Bushfire & Natural Hazards CRC (Australia)

10005-41: Influence of pansharpening techniques in obtaining accurate vegetation thematic maps, Edurne Ibarrola Ulzurrun, Univ. de Las Palmas de Gran Canaria (Spain) and Univ. Politécnica

de Madrid (Spain)

High-Performance Computing in Remote Sensing

10007-1: A new tool for supervised classification of satellite images available on web servers: Google Maps as a case study, Agustín García Flores, Univ. de Extremadura (Spain) and Ctr. de

Investigaciones Energéticas, Medioambientales y Tecnológicas (Spain) and Ctr. Extremeño de Tecnologías Avanzadas (Spain)

Remote Sensing Technologies and Applications in Urban Environments

10008-1: Improved MODIS aerosol retrieval in urban areas using a land classification approach and empirical orthogonal functions, Nathaniel Levitan, The City College of New York

(United States)

Remote Sensing for Agriculture, Ecosystems, and Hydrology

9998-37: Remote sensing for developing world agriculture: opportunities and areas for technical development, Mark N. Jeunnette, Massachusetts Institute of Technology (United States)

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015

9999-23: Improving the accuracies of bathymetric models based on multiple regression for calibration (case study: Sarca River, Italy), Milad Niroumand-Jadidi, Univ. degli Studi di Trento (Italy)

and Freie Univ. Berlin (Germany)

Sensors, Systems, and Next-Generation SatellitesCONFERENCE HAS NOT SELECTED A WINNER

Remote Sensing of Clouds and the Atmosphere

10001-22: A low-cost digital holographic imager for the study of cloud particles, Thomas Chambers, The Univ. of Adelaide (Australia)

Active and Passive Microwave Remote Sensing for Environmental Monitoring SAR Data Processing: Joint Topic with Conference on Image and Signal Processing for Remote Sensing

10004-45: A bat-inspired technique for clutter reduction in radar sounder systems, Leonardo Carrer, Univ. degli Studi di Trento (Italy)

BEST STUDENT PAPER AWARDSAs a committed supporter of excellence in student research, SPIE supports Best Student Paper Awards at SPIE conferences across the globe. In addition to cash prizes and award certificates, winners receive SPIE Digital Library downloads and complimentary SPIE Student Membership.

The awards are designed to encourage and acknowledge excellence in oral and poster student paper presentations. Best student papers will be recognized within each of the Remote Sensing and Security + Defence conferences.

In order to be considered for this award, the student must meet the following requirements:• Student must be the presenting author at the conference and must make their oral presentation as scheduled• Student must be the leading author of the manuscript • Papers submitted by graduate and undergraduate students are eligible• Student must enter the best student paper award by responding to an award announcement e-mail

The best student award announcement will follow the acceptance notification and will include all details necessary to enter and qualify for the competition. A panel of experts will evaluate the papers, both for quality and content.

RECIPIENTS OF THE 2016 BEST STUDENT PAPER AWARDS

SPIE REMOTE SENSING 2017

CALL FOR PAPERS

Remote Sensing for Agriculture, Ecosystems, and Hydrology (RS101)Conference Chairs: Christopher M. U. Neale, Univ. of Nebraska Lincoln (United States); Antonino Maltese, Univ. degli Studi di Palermo (Italy)

Programme Committee: Antonino Maltese, Univ. degli Studi di Palermo (Italy); Christopher M. U. Neale, Univ. of Nebraska Lincoln (United States)

Remote sensing technology continues to play a significant role in the understanding of our envi-ronment. It has evolved into an integral research tool for the natural sciences. Disciplines such as climatology, hydrology, and studies of the terres-trial biosphere have all developed a strong remote sensing analysis component. Moreover, remote sensing has facilitated our understanding of the environment and its many processes over a broad range of spatial and temporal scales. This is a highly important aspect of land surface research, especial-ly in the management of land and water resources and for the detection of environmental change.

Remote sensing applications have greatly enhanced our ability to monitor and manage our natural resources, especially in the areas of agriculture, ecosystems, and water resources. However, in spite of significant progress in recent years, there are still many areas where the potential of remote sensing has not been fully realized, and these are areas of active research.

Of unique importance are those efforts that are focused on gaining a better understanding of what sensors are actually measuring as well as new applications and inverse modelling techniques. Contributions using visible, near- and thermal infrared, microwave and other wavebands are so-licited, as well as applications using laser/LiDAR or hyperspectral imaging. The conference is especially interested in papers, which emphasize the use of data from satellite, nanosatellites, airborne and UAV platforms, describing recent research results in the hydrological, agricultural and ecosystems sciences. Contributions are sought for state-of-the-art re-search and operational applications, in particular related to water cycle research and climate change. Invited keynote speakers will present overviews of problems, progress and prospects in key areas. Supporting papers are requested that review the latest contributions of Earth Observations (EO) to water cycle and soil-vegetation-atmosphere sciences from global to basin to plot scales (e.g., precipitation, soil water content, water levels, sur-face water, groundwater, land and water mass and

heat exchanges). Also assessing the advances and identify the needs in physical modeling, including uncertainties and consistency quantification and data assimilation of EO-based observations to improve our knowledge of water, vegetation and ecosystems processes and our ability to assess future changes in water cycle, extreme events and hydrological hazards.

Understanding of small-scale complex environ-mental systems is still a challenging problem due to interface between global and regional data sets. This is driven by lack of in situ observations and the variety of downscaling techniques used to model the regional issues. These are the pre-requisites for addressing urban to regional problems such as agriculture health, water resource management, drought and food security.

In recent years, opportunities for big data analysis in food and agricultural production are arising. Technological advancements in remote sensing coupled with advances in IT, mobile/cloud comput-ing (smart phones, wearable devices), wide spread adoption of GPS, internet of things (everything gets connected in the internet), and all advanced digital technologies have created a unique opportunity for implementing smarter solutions for large and smallholder farmers globally, leading to increased productivity, reduced resource consumption, and improved food security. These techniques allow for the delivery of high-tech agricultural services and precision agriculture based on remote sensing.

Also, distributed networks provide the opportu-nity for setting up integrated processing for near real-time regional or global monitoring products for hydrology; agriculture; and ecosystems: e.g., HF radar networks, ground stations, GPS networks, flux towers, etc.

A joint session on Monitoring of Soil and Vege-tation Water Content in Agricultural and Natural Ecosystems will be held with the sister Conference on “Active and Passive Microwave Remote Sensing for Environmental Monitoring”.



Papers related (but not limited) to the following topics are solicited:

Hydrological Sciences • hydrological modelling • sensors for monitoring in hydrology and water

resources • data assimilation in hydrology (interpolation,

smoothing and filtering applications) • data scaling • water balance applications • soil water content • satellite-based rainfall estimation and

modeling (e.g., meteorological RADAR, thermal infrared)

• surface temperature estimation and modelling • radiative transfer modelling • precipitation, snow and ice hydrology • water resource management • drought monitoring, analysis and prediction • sedimentation and erosion • radar applications in hydrology (interferometry

for land slide detection; canopy, soil moisture and soil roughness characterization; flooding)

• lidar applications in hydrology • remote sensing in depth to ground water

modeling and detection (passive and active microwaves, thermal infrared, gravimetry, ground penetrating radar)

• remote sensing in surface water topography and hydrodynamic

• water quality • estuarine and coastal applications • remote sensing applied to hydrodynamic • flood mapping and modeling.

Remote Sensing for Agriculture, Ecosystems, and Hydrology (RS101) continued

IMPORTANT DATES:Abstract Due Date: 13 MARCH 2017Manuscript Due Date: 14 AUGUST 2017

Agricultural Biosphere • smarter solutions for farmers based on IT,

cloud computing, mobile technology, GPS • reflectance properties of soils • soil organic carbon content • bidirectional reflectance function for bare soil

and vegetated surfaces • precision farming applications • crop yield modelling • food production, energy and water nexus • open data for agriculture and food production• agrifood remote sensing systems • water securing for food • agriculture disease detection • fluorescence applications in agriculture • wildfire applications • forestry dynamics and carbon cycle studies • canopy and leaf optical models • vegetation indices applications • biomass monitoring • photosynthetically active radiation • evapotranspiration and energy balance (EB)

applications • energy balance model validation methods

(eddy covariance, scintillometry etc.).

Ecosystems and Environmental Change • ecosystem management • ecological monitoring • climate modeling, prediction and

environmental change • forecasting techniques • long-term data records for water cycle and

climate • big data for sustainable development • regional and global vegetation monitoring

early warning techniques.


CALL FOR PAPERS

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017 (RS102)Conference Chairs: Charles R. Bostater Jr., Florida Institute of Technology (United States); Stelios P. Mertikas, Technical Univ. of Crete (Greece); Xavier Neyt, Royal Military Academy (Belgium)

Programme Committee: Richard J. Breitlow, Agfa Corp. (United States); Jean-Paul Bruyant, ONERA (France); Alexander Gilerson, The City College of New York (United States); Carlton R. Hall, NASA Kennedy Space Ctr. (United States); Frederic Lamy, ONERA (France); Ana M. Martins, Univ. dos Açores (Portugal); Petri Pellikka, Univ. of Helsinki (Finland)

Remote sensing science is one of the most modern approaches for studying oceans, littoral regions, seas and large lakes, as well as sea ice covered regions. An important aspect of remote sensing science is the ability to monitor complex environ-mental media (air, land, water) and their interfaces (water surface wave, air-sea interaction, water-sed-iment, and internal interfaces). Understanding complex environmental system phenomena is key to scientific understanding of oceans, littoral zones, estuaries, coastal areas, large lakes, ports and waterways as well as sea ice dynamics since remote sensing data provides valuable monitoring information. This information often serves as input to complex numerical models of environmental systems, such as climate change models, coupled oceanic-atmosphere models at the global (plane-tary) scale as well as at the mesoscale space and time scales. Remote sensing techniques also pro-vide the most valuable tool set and techniques for monitoring and mapping different bottom features in aquatic systems, such as coral reefs, submerged aquatic vegetation and other “targets” of interest to the oceanographic and aquatic community. Also of interest are robotic and mechatronic plat-forms for in-situ sensing of interfaces and unique sensing systems & platforms for coastal and ocean monitoring and associated data assimilation into predictive models.

There is a need to improve the accuracy and preci-sion of retrieved geophysical parameters from re-mote sensing data, and a need to use optical signal processing or filtering of remotely sensed signals from instruments to help improve underwater visi-bility and atmospheric aerosol influences that affect mapping subsurface water properties, features, and targets. In this context, it is often necessary to integrate data from different sensors as well as to include the knowledge of different disciplines. This is especially important in remote sensing of water quality, submerged aquatic vegetation and coupled ocean-atmosphere models. From a remote sensing point of view, these data are mainly extracted from

active or passive sensor systems, and models of complex phenomena are important. Techniques important to the above include radar, acoustic, optical, sensing systems and resulting data and EO sensing of aerosols and turbulence.

With reference to the above, this conference will address the above remote sensing systems and platforms with special emphasis on areas such as:

• detection of coastal & ocean currents and oceanic frontal features; radar and altimeter uses

• subsurface sensing using acoustics, optical, laser and magnetic systems, hyperspectral systems

• ocean sensing techniques and systems including microwave, acoustic and magnetic sensing and EO modeling

• ocean wave measurement & altimetry as well as coastal imaging systems and analysis

• use of remote sensing data in global and regional ocean observing platforms

• use of satellite & airborne data in ocean, coastal & coastal lagoon water quality assessments

• coastal ocean, estuarine and large lake water-quality monitoring (suspended sediments, dissolved organic matter, phytoplankton pigments and biomass, submerged aquatic vegetation) as well as other bottom feature and target recognition studies

• oceanic photochemistry and hyperspectral remote sensing; coupled oceanic and mesoscale models at the air-sea boundary, remote sensing input and data assimilation into atmospheric sea breeze models, weather forecasting uses of marine remote sensing data & imagery

• sensors, imaging and modeling of microwave signatures of ocean and coastal waves and sea ice


Submit your abstractby 13 March 2017


• studies of glaciers, shore-fast ice; polar regions, sea ice prediction monitoring and modeling

• multisatellite, sensor integration, georegistration and sensor integration from various platforms

• data fusion, optical signature analysis and modeling, hyperspectral imaging and remote sensing

• sensor calibrations, airborne sensors & systems and data analysis

• radar and related active-passive (Raman) sensing theory, applications, systems and techniques

• regional and global sea and ice monitoring in climate change research, particularly work related to new satellite and suborbital missions with the new SAR instruments designed to investigate continental and marine sea ice thickness change

• novel use of GNSS signals in coastal regions, lakes and large water region sensing

• operational glacier and sea ice monitoring systems and requirements

• active and passive remote sensing and techniques for improving underwater imaging for mapping ports, waterways and harbors, and effects of aerosols and turbulence in retrieving geophysical variables

• airborne (manned & unmanned) remote sensing missions for observation of oceanic, coastal, sea ice and large water regions, and nearby urban environments; sensor design and calibrations

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017 (RS102) continued

Note - Special sessions call:

(a) Hyperspectral remote sensing, modeling & applications in coastal urban environments

(b) Coupled Ocean-Atmosphere Sea-breeze modeling with satellite & EO data assimilation, weather forecasting and satellite data use in marine environments

Abstracts and papers concerning the above topics and special sessions are invited for review and acceptance for presentation at the confer-ence & publication in the proceedings. Those interested in developing the special session or joint sessions may contact the session chairs, members of the technical committee or contact Charles Bostater at Florida Institute of Technology: [email protected] .


CALL FOR PAPERS

Sensors, Systems, and Next-Generation Satellites (RS103)Conference Chairs: Steven P. Neeck, NASA Headquarters (United States); Toshiyoshi Kimura, Japan Aerospace Exploration Agency (Japan); Jean-Loup Bézy, European Space Research and Technology Ctr. (Netherlands)

Conference Co-Chair: Haruhisa Shimoda, Tokai Univ. (Japan)

Programme Committee: Olivier Saint-Pe, Airbus Defence and Space (France); Xiaoxiong J. Xiong, NASA Goddard Space Flight Ctr. (United States)

Many new remote sensing programs are under way throughout the world, in the U.S., Europe Japan, and elsewhere. NASA’s Earth Science Division is developing and implementing a broad range of Earth spaceborne remote sensing missions to answer fundamental scientific questions requiring the view from space and to meet societal needs. These include missions from the National Research Council’s Earth Science Decadal Survey, Climate Continuity missions and selected instruments to assure availability of key data sets, operational missions to ensure sustained land imaging provided by the Landsat system, and small-sized competi-tively selected orbital missions and instruments belonging to the Earth Venture Program. The Japan Aerospace Exploration Agency (JAXA) is developing and operating the ALOS, GOSAT, GCOM, GPM/DPR, and EarthCare series of programmes. The European Space Agency (ESA) is developing and implementing the METOP, METEOSAT, Coper-nicus, and Earth Explorer programs. A number of new remote sensing programmes are also under development by other organisations and nations for research and operational use. Many of the above are contributing to the Global Earth Observation System of Systems (GEOSS) as envisioned by the intergovernmental Group on Earth Observations (GEO). Each of these programs comprises a set of remote sensing systems to address their science and applications objectives.

Papers are solicited on the following and related topics:

• sensors being developed • satellites being developed • enabling technologies for sensors and

satellites • new design concepts for sensors, systems and

satellites • hyperspectral sensors • sensor calibration techniques

• in-situ sensor measurement assimilation • modeling and simulation techniques for sensor

concept development • focal plane assemblies including detectors and

spectral filters • future LIDAR missions • system precursors including test beds and

airborne simulators • data systems being developed • new data processing techniques (applications

to Big Data and remote sensing) • sensor webs for in-situ cal/val or remote

sensing.

Sessions on the following topics are being planned: • Japanese missions and technologies • European missions and technologies • US missions and technologies • ISS attached payloads for Earth observation • innovative small satellites (nano/cubesats,

microsats) and constellations for Earth observation

• new satellite technologies • calibration • drone systems for Earth observation • focal plane technologies.



Remote Sensing of Clouds and the Atmosphere (RS104)Conference Chairs: Adolfo Comerón, Univ. Politècnica de Catalunya (Spain); Evgueni I. Kassianov, Pacific Northwest National Lab. (United States); Klaus Schäfer, Karlsruher Institut für Technologie (Germany)

Conference Co-Chairs: Richard H. Picard, ARCON Corp. (United States); Konradin Weber, Fachhochschule Düsseldorf (Germany)

Programme Committee: Aldo Amodeo, Istituto di Metodologie per l’Analisi Ambientale (Italy); Christoph C. Borel-Donohue, Air Force Institute of Technology (United States); Young Joon Kim, Gwangju Institute of Science and Technology (Korea, Republic of)

This conference will focus on all aspects of remote sensing of clouds and Earth and planetary atmo-spheres, with planned specialised sessions:

Remote Sensing of Clouds, including topics: • cloud detection and characterization; cloud

screening • retrieval of cloud properties • cirrus modeling and measurements, including

scattering and absorption by nonspherical particles.

Radiative Transfer, including topics: • Earth radiation budget • 3D radiative transfer and approximation

methods • retrieval methods, profiling, and data

assimilation • atmospheric correction.

Remote Sensing of the Middle and Upper Atmosphere, including topics: • studies of middle and upper atmosphere

variability and climatology • non-LTE radiative effects and transfer codes • non-LTE retrieval methods • remote sensing of constituents, dynamical and

electrical structure, and wave motions • advances in instrumentation.

Profiling of Atmospheric Aerosols, Trace Gases, and Meteorological Parameters of Remote Sensing, including topics: • trace gas retrieval and measurements from

ground, air and space • aerosol detection, measurements and

retrievals from ground, and mobile (space/airborne) platforms

• limb (infrared, microwave) satellite retrievals targeting the upper troposphere and lower stratosphere (MIPAS, ACE-FTS, MLS, OMPS,....)

• air pollution monitoring including data and information fusion

• hyperspectral data processing.

Remote Sensing by FTIR, DOAS and Other Spectrometric Methods, including topics: • measurements of industrial, agricultural,

biospheric, and volcanic emissions, including determination of emission source strengths

• environmental, disaster, and fire monitoring • application of imaging methods • GIS applications and data fusion • advances in instrumentation and new

technologies, including remote sensing of gas and aerosol releases.

Lidar, Radar, and Passive (Microwave, Infrared. Visible and Ultraviolet) Atmospheric Measurement Techniques, including topics: • advances in instrumentation • advances in data evaluation and retrieval

methods • observations from mobile (space/airborne)

platforms • satellites to improve agri-food systems • measurement accuracy assessment • validation of satellite remote sensing • sensor networking and interplay with mobile

devices • data fusion • hyperspectral data processing • applications of femtosecond lasers.


CALL FOR PAPERS

Optics in Atmospheric Propagation and Adaptive Systems (RS105)Conference Chairs: Karin U. Stein, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany); Szymon Gladysz, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)

Programme Committee: Ivo Buske, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Sylvain Cheinet, Institut Franco-Allemand de Recherches de Saint-Louis (France); David C. Dayton, Applied Technology Associates (United States); Denis Dion Jr., Defence Research and Development Canada, Valcartier (Canada); John Gonglewski, Air Force Research Lab. (United States); Vladimir P. Lukin, V.E. Zuev Institute of Atmospheric Optics (Russian Federation); Cheryl Matson, Univ. of California, San Diego (United States); Sergio R. Restaino, U.S. Naval Research Lab. (United States); Alexander M. J. van Eijk, TNO Defence, Security and Safety (Netherlands); Arthur D. van Rheenen, Norwegian Defence Research Establishment (Norway); Mikhail A. Vorontsov, Univ. of Dayton (United States)

The use of sensors for active and passive remote sensing of the Earth and its atmosphere, for free-space laser communication, and for high-resolution imaging of ground-based and airborne objects are fields of growing interest for both civilian and military applications.

Such high-resolution space-to-ground (or ground-to-space) optical sensing systems use spectral regions varying from UV to Radar. However, they all must deal with long path atmospheric geometries and different radiating backgrounds. Instrument and measurement analysis therefore depends crucially on a thorough understanding of all optical effects that limit the sensor performance through an atmosphere that acts as an absorbing, scatter-ing, and radiating random medium. Increasingly important in this area are modern methods used to ameliorate these effects through compensative hardware, algorithms, and measurements of atmo-spheric parameters at different locations.

Contributions are invited on the following topics and those related to them:

• Characterization of the Propagation Environment: profiles of temperature, humidity, extinction, refractivity, radiance (also non-LTE), optical turbulence; updates of transmission and radiance codes, atmospheric refraction, atmospheric turbulence, VIS and IR backgrounds, statistics of propagation parameters.

• Propagation and Imaging through Optical Turbulence: meteorological models, the strong turbulence regime, laser beam propagation, laser speckle effects; correction methods for atmospheric effects in remote sensing, compensation for anisoplanatism and scintillation.

• Propagation and Imaging through Inhomogenous and Dense Media: laser beam propagation, scattering and multiple scattering effects, the strong turbulence regime, aero-optic and jet plume effects, laser speckle effects; correction methods for atmospheric effects; coherent and incoherent imaging in anisoplanatic conditions; laser beam projection on an extended target; target-in-the-loop propagation and compensation in atmospheric turbulence.

• Laser-based Sensing and Laser Communication: laser beam focusing, sensing, and free-space communication, system and atmospheric simulations, hardware configurations, communications theory issues, bandwidth limits, multiplexing issues, adaptive optics use for increased performance, atmospheric modelling, and laser speckle and other noise sources, loss of coherence for active (laser) systems.



• Techniques for Mitigation of Atmospheric Effects on Systems: adaptive optics, deconvolution, sensor fusion, post processing etc; multi-conjugate adaptive optics, compensated imaging systems, etc.

• New Devices for Atmospheric Measurement or Compensation: novel optical components such as liquid crystal and MEMS devices, wavefront sensors, high-frame rate and low-noise IR detectors.

Optics in Atmospheric Propagation and Adaptive Systems (RS105) continued


CALL FOR PAPERS

Active and Passive Microwave Remote Sensing for Environmental Monitoring (RS106)Conference Chairs: Claudia Notarnicola, EURAC research (Italy); Nazzareno Pierdicca, Univ. degli Studi di Roma La Sapienza (Italy); Emanuele Santi, Istituto di Fisica Applicata Nello Carrara (Italy)

Programme Committee: Richard Bamler, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Fabio Bovenga, CNR ISSIA (Italy); Maria-Paola Clarizia, Univ. of Michigan (United States); Fabio Covello, Agenzia Spaziale Italiana (Italy); Mihai P. Datcu, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Katarzyna Dabrowska-Zielinska, Institute of Geodesy and Cartography (Poland); Fabio Del Frate, Univ. degli Studi di Roma “Tor Vergata” (Italy); Dara Entekhabi, Massachusetts Institute of Technology (United States); Marek Graniczny, Polish Geological Service (Poland); Carlos Lopez-Martinez, Univ. Politècnica de Catalunya (Spain); Simonetta Paloscia, Istituto di Fisica Applicata Nello Carrara (Italy); Luca Pulvirenti, CIMA Research Foundation (Italy); Stefan Schneiderbauer, EURAC research (Italy); David Small, Univ. of Zürich (Switzerland)

The main objective of the conference is to present an updated view of the state-of-the-art in active and passive microwave remote sensing techniques and to provide a playground for scientists coming from different microwave sectors and final appli-cation domains. In this context the conference will offer a platform to exchange ideas and foster appli-cations which may take advantage from the use of radar and microwave radiometers alone, as well as their joint exploitation and combination with other sensors to take advantage from complementarity of the different techniques (SAR, scatterometer, radiometers, altimeter, GNSS-R).

Particular attention will be given to applications and algorithms exploiting data of operational sensors such as Sentinel 1, Sentinel 3, ALOS2, TerraSAR-X, COSMO-SkyMed, RADARSAT-2, AMSR-E/AMSR2, SMOS, Metop and SMAP. Applications based on time series analysis are addressed as well. In fact, the incoming growing capabilities of the most recent sensors, in terms of temporal revisit time and electromagnetic spectrum sampling (in active and passive mode), offer a potential tool for new environmental applications especially related to the monitoring of natural disasters (such as earthquake, flood, drought, landslides, avalanches) and to the food and energy challenges, which can particularly benefit from multi-temporal image analysis.

Contributions are solicited on the following and related topics: • microwave (active and passive)

electromagnetic modelling and simulation in different scenarios (land and ocean, atmosphere)

• inversion algorithms for the retrieval of bio-geophysical parameters from microwave data

• statistical properties of remotely sensed microwave images

• active and passive data merging, disaggregation approaches

• polarimetric methods, techniques and applications

• SAR interferometry techniques and applications

• bistatic radar, including GNSS reflectometry • radar altimeter and scatterometer techniques

and applications • application of microwave sensing to risk

prevention and disaster management • applications of the above-mentioned

techniques to food security, energy and biodiversity.

Moreover, a joint session with the conference “Remote Sensing for Agriculture, Ecosystems, and Hydrology” will be organized on the topic of “Monitoring of Soil and Vegetation Water Con-tent in Agricultural and Natural Ecosystems”. On this topic, the abstracts can be submitted in one of the two conferences.

During the conference, two tutorials will be held, one dedicated to Interferometry and related applications to natural hazard and the second dedicated to the exploitation of GNSS Reflectom-etry techniques.


Image and Signal Processing for Remote Sensing (RS107)Conference Chairs: Lorenzo Bruzzone, Univ. degli Studi di Trento (Italy)

Conference Co-Chairs: Jon Atli Benediktsson, Univ. of Iceland (Iceland); Francesca Bovolo, Fondazione Bruno Kessler (Italy)

Programme Committee: Selim Aksoy, Bilkent Univ. (Turkey); Luciano Alparone, Univ. degli Studi di Firenze (Italy); José M. Bioucas-Dias, Univ. Técnica de Lisboa (Portugal); Gustavo Camps-Valls, Univ. de València (Spain); Jocelyn Chanussot, Lab. des Images et des Signaux (France); Chi-Hau Chen, Univ. of Massachusetts Dartmouth (United States); Fabio Dell’Acqua, Univ. degli Studi di Pavia (Italy); Begüm Demir, Univ. degli Studi di Trento (Italy); Peijun Du, Nanjing Univ. (China); Giles M. Foody, The Univ. of Nottingham (United Kingdom); Andrea Garzelli, Univ. degli Studi di Siena (Italy); Jordi Inglada, Ctr. d’Etudes Spatiales de la Biosphère (France); Gabriele Moser, Univ. degli Studi di Genova (Italy); Allan A. Nielsen, Technical Univ. of Denmark (Denmark); Ryuei Nishii, Kyushu Univ. (Japan); Antonio J. Plaza Miguel, Univ. de Extremadura (Spain); John A. Richards, The Australian National Univ. (Australia); Josiane B. Zerubia, INRIA Sophia Antipolis - Méditerranée (France)

The main goal of this conference is to address ad-vanced topics related to signal processing, image analysis, pattern recognition, machine learning and data fusion methodologies in the field of remote sensing.

Papers describing recent and original work in the following and related research topics are welcome:

• calibration and registration techniques • image enhancement and restoration • edge detection and segmentation • shape and texture analysis • target detection and object recognition • automatic classification • estimation of geo- bio-physical parameters • statistical and structural pattern recognition

techniques • machine learning techniques • change detection and analysis of

multitemporal data • analysis of multispectral images • analysis of hyperspectral images • analysis of SAR and LIDAR signals • analysis of very high resolution multispectral

and SAR images • multisensor and multisource data fusion • data mining techniques • image coding and data compression • data processing applications.



Note: To assure a high quality conference, all abstracts will be reviewed by the conference scientific committee and co-chairs for tech-nical merit and content.


CALL FOR PAPERS

Earth Resources and Environmental Remote Sensing/GIS Applications (RS108)Conference Chairs: Ulrich Michel, Jade Univ. of Applied Sciences Oldenburg (Germany); Karsten Schulz, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)

Conference Co-Chairs: Konstantinos G. Nikolakopoulos, Univ. of Patras (Greece); Daniel Civco, Univ. of Connecticut (United States)

Programme Committee: Thomas Blaschke, Univ. Salzburg (Austria); Markus Boldt, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany); Tilman U. Bucher, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Dimitri Bulatov, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany); Garik Gutman, NASA Headquarters (United States); Marguerite M. Madden, The Univ. of Georgia (United States); Derya Maktav, Istanbul Technical Univ. (Turkey); Matthias S. Moeller, Univ. of Applied Sciences Berlin (Germany); Pablo H. Rosso, RapidEye AG (Germany); Florian Savopol, Natural Resources Canada (Canada); Jochen Schiewe, HafenCity Univ. Hamburg (Germany); Wenzhong Shi, The Hong Kong Polytechnic Univ. (Hong Kong, China); Karl Staenz, Univ. of Lethbridge (Canada)

Satellite remote sensing has become a common tool to investigate the different fields of Earth and environmental sciences. The progress of the performance capabilities of the optoelectronic and radar devices mounted on-board remote sensing platforms have further improved the capability of instruments to acquire information about the Earth and its resources for global, regional and local assessments.

With the advent of new high-spatial and spectral resolution satellite and aircraft imagery new ap-plications for large-scale mapping and monitor-ing have become possible. The integration with Geographic Information Systems (GIS) allows a synergistic processing of multi-source spatial data. The present conference will be an occasion to outline how scientists involved in the Earth and environmental studies can take advantage of new remote sensing techniques and the advances in spatial technology. Particular subjects are:

Sensors and Platforms• new sensor developments • radiometric calibration studies • geometric correction approaches • simulation studies.

Processing Methodologies • fusion of multi-source and multi-scale data • multitemporal remote sensing • integration of remote sensing and GIS • analysis of optical and thermal data • hyperspectral analytical approaches • geoobject-based image analysis • artificial intelligence approaches • mobile solutions • LIDAR techniques.

Environmental Monitoring Concepts• land degradation studies • natural hazards (floods, landslides) • landscape modeling • sustainability and planning • coastal zone management • interaction sea-land • resource management • global climate change.

Hazard Mitigation Geologic Applications• geological hazards, mine waste • earthquakes and volcanoes • lithological and mineral mapping • mineral and petroleum exploration • structural geology, tectonics • hydrogeology.


Infrastructures and Urban Areas • 3D urban modeling • change detection • remote sensing for urban information systems • microclimate studies • virtual city models • urban feature extraction with high resolution

SAR-sensors.

Remote Sensing for Archaeology, Cultural and Natural Heritage.

Geospatial Infrastructure.

GeoWeb Delivery and Analysis of Remote Sensing Data.



Earth Resources and Environmental Remote Sensing/GIS Applications (RS108) continued


Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing (RS109)Conference Chairs: Upendra N. Singh, NASA Langley Research Ctr. (United States); Doina Nicoleta Nicolae, National Institute of Research and Development for Optoelectronics (Romania)

Programme Committee: Arnoud Apituley, Rijksinstituut voor Volksgezondheid en Milieu (Netherlands); Lucas Alados-Arboledas, Univ. de Granada (Spain); Andreas Behrendt, Univ. Hohenheim (Germany); Gerhard Ehret, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Barry M. Gross, NOAA-CREST (United States); Philippe L. Keckhut, LATMOS (France); George J. Komar, NASA Headquarters (United States); Eduardo Landulfo, Instituto de Pesquisas Energéticas e Nucleares (Brazil); Kohei Mizutani, National Institute of Information and Communications Technology (Japan); Lucia Mona, Istituto di Metodologie per l’Analisi Ambientale (Italy); Alexandros D. Papayannis, National Technical Univ. of Athens (Greece); Gelsomina Pappalardo, Istituto di Metodologie per l’Analisi Ambientale (Italy); Vincenzo Rizi, Univ. degli Studi dell’Aquila (Italy); Laurent Sauvage, Leosphere France (France); Georgios D. Tzeremes, European Space Agency (Netherlands); Ulla Wandinger, Leibniz Institut für Troposphärenforschung (Germany); Jirong Yu, NASA Langley Research Ctr. (United States)

Optical remote sensing techniques are being widely used for continuous, systematic monitoring of atmospheric constituents and meteorological parameters using ground-, air-, and satellite-based remote sensing instruments. The ability of laser/ telescope systems to reach out to great distances in the atmosphere has opened up a major field of applied optics that now attracts the efforts of sci-entists and engineers from many countries.

This technology makes it possible to rapidly obtain profiles of atmospheric properties (e.g. tempera-ture and wind) and constituents (e.g. H2O, O3, and CO2). Lidar practice now incorporates a wide variety of optical phenomena (absorption, fluorescence, etc.). Applications are increasing in the areas of meteorology, urban and industrial air pollution, aircraft safety, global monitoring of ozone and climate change, and the basic processes of atmo-spheric dynamics. Global wind profiling and CO2 measurement from space requires high-energy and high-power lasers for extended operation. Laser risk reduction, technology maturation and life time testing at component and system level has become an important issue for space deployment. Similarly, thermal, contamination, and radiation effects are need to be fully understood for devel-oping highly efficient, long life, high power laser sources for long-term operation in space. As the world moves towards increased population and

industrial development, laser remote sensing will become more and more important as the method of choice for obtaining the environmental data needed in intelligent decision-making for resource management. This conference focuses on current and future laser remote sensing technologies, techniques, applications, and observations related to environmental monitoring.

To allow maximum participation, a wide range of topics will be considered for presentation and discussion at the conference. The suggested list of topics to be covered in this conference is:

• solid state and fiber laser developments for lidar applications

• innovative lidar detector and receiver technologies

• efficient, compact, ground-, air-, and space borne lidar systems

• lidar methods for constituent monitoring ( Differential Absorption Lidar (DIAL); Raman, Raman/DIAL, Resonance)

• atmospheric aerosols and cloud studies lidar applications to global issues (ozone depletion, climate change, global transport of pollutants)

• lidar applications to regional issues (urban pollution, dust transport)

• polar cloud monitoring (PSCs, NLCs, PMC)

CALL FOR PAPERS


• multisensor mobile stations and campaigns for comprehensive atmospheric characterization

• tunable IR to mid-IR lidar for chemical/pollution detection

• coherent and direct detection lidar for wind field profiling

• space lidars: space reliability and thermal, contamination, and radiation effects on component and systems for space

• global scale monitoring by satellite-borne lidars.


Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing (RS109) continued



High-Performance Computing in Geoscience and Remote Sensing (RS110)Conference Chairs: Bormin Huang, Univ. of Wisconsin-Madison (United States); Sebastián López, Univ. de Las Palmas de Gran Canaria (Spain); Zhensen Wu, Xidian Univ. (China)

Conference Co-Chairs: Jose M. Nascimento, Instituto de Telecomunicações (Portugal); Jun Li, Sun Yat-Sen Univ. (China); Valeriy V. Strotov, Ryazan State Radio Engineering Univ. (Russian Federation)

Programme Committee: Saeed H. Al-Mansoori, Emirates Institution for Advanced Science and Technology (United Arab Emirates); Boris A. Alpatov, Ryazan State Radio Engineering Univ. (Russian Federation); Chein-I Chang, Univ. of Maryland, Baltimore County (United States); Yang-Lang Chang, National Taipei Univ. of Technology (Taiwan); Mingmin Chi, Fudan Univ. (China); Qian Du, Mississippi State Univ. (United States); Dustin Feld, Univ. zu Köln (Germany); Carlos E. Garcia Gonzalez, Univ. Complutense de Madrid (Spain); Lixin Guo, Xidian Univ. (China); Eduardo Juarez, Univ. Politécnica de Madrid (Spain); Francesco Leporati, Univ. degli Studi di Pavia (Italy); Qiguang Miao, Xidian Univ. (China); Caner Özcan, Karabük Üniv. (Turkey); Enrique S. Quintana-Orti, Univ. Jaume I (Spain); Jarno Mielikainen, Univ. of Wisconsin-Madison (United States); Antonio J. Plaza, Univ. de Extremadura (Spain); Sergio Sanchez Martinez, Masdar Institute of Science & Technology (United Arab Emirates); Roberto Sarmiento, Univ. de Las Palmas de Gran Canaria (Spain); Yuliya Tarabalka, INRIA Sophia Antipolis - Méditerranée (France); Carole Thiebaut, Ctr. National d’Études Spatiales (France); Tanya Vladimirova, Univ. of Surrey (United Kingdom); Shih-Chieh Wei, Tamkang Univ. (Taiwan); Jiaji Wu, Xidian Univ. (China); Yuanfeng Wu, Institute of Remote Sensing and Digital Earth (China)

Advances in sensor technology with higher spatial, spectral and temporal resolutions are revolution-izing the way remote sensing data are collected, managed and processed. Latest-generation instruments for Earth and planetary observation are now producing a nearly-continual stream of high-dimensional data, and this explosion in the amount of collected information has rapidly intro-duced new processing challenges. In particular, many current and future applications of remote sensing in Earth and space sciences require the incorporation of high performance computing techniques and practices to address ap-plications with high societal impact such as retrieval of Earth and planetary atmospheres, monitoring of natural disasters including earthquakes and floods, or tracking of man-induced hazards such as wild-land and forest fires, oil spills and other types of chemical contamination. Many of these applications require timely responses for swift decisions which depend upon (near) re-al-time performance of algorithm analysis. These systems and applications can greatly benefit from high performance computing techniques and practices to speed up data processing, either after

the data has been collected and transmitted to a ground station on Earth, or during the data collec-tion procedure onboard the sensor, in real-time fashion. Parallel and distributed computing facilities and algorithms as well as high-performance FPGA and DSP systems have become indispensable tools to tackle the issues of processing massive remote sensing data. In recent years, GPUs have evolved into highly par-allel many-core processors with tremendous com-puting power and high memory bandwidth to offer two to three orders of magnitude speedup over the CPUs. A cost-effective GPU computer has become an affordable alternative to an expensive CPU computer cluster for many researchers performing various scientific and engineering applications. This conference provides an interdisciplinary forum for exchanging the latest research results and views in the area of high-performance computing applied to remote sensing problems. The conference is expected to bring together experts from many different institutions to provide a remarkable sam-ple of the latest advances in the field. Specifically, papers and reviewers will be solicited in, but not limited to, the following areas:

CALL FOR PAPERS


• high-performance computing in remote sensing image and video coding, decoding and error correction

• high-performance computing for spaceborne, airborne, or ground-based remote sensing instruments

• high-performance computing in geophysical parameter retrieval from remote sensing data

• high-performance computing in remote sensing data modeling or assimilation for environmental and weather monitoring and forecast

• high-performance computing algorithms or techniques for ultraspectral, hyperspectral and multispectral data

• high-performance computing algorithms or techniques for microwave, visible, ultraviolet, radar, and lidar remote sensing data

• high-performance computing in passive and active remote sensing data processing

• high-performance computing in remote sensing forward models and inverse problems

• high-performance computing for visualization of large remote sensing data

• high-performance computing for efficient transfer and storage of large remote sensing data

• high-performance computing for on-board processing, compression and communications.

High-Performance Computing in Geoscience and Remote Sensing (RS110) continued


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Remote Sensing Technologies and Applications in Urban Environments (RS111)Conference Chairs: Thilo Erbertseder, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Thomas Esch, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany); Nektarios Chrysoulakis, Foundation for Research and Technology-Hellas (Greece)

Programme Committee: Matthias Budde, Karlsruhe Institute of Technology (Germany); Christopher Small, The Earth Institute (United States); Carlos Tavares Calafate, Univ. Politécnica de Valencia (Spain); Ying Zhang, Natural Resources Canada (Canada)

The global urbanization constitutes an epochal transformation of the Earth. Since 2007 for the first time in human history more people have lived in cities than in the countryside. According to the United Nations in 2050, around 75% of the worldwide population will be living in cities. The population density, traffic and infrastructure, environmental and energy problems, climate change, migration, demographic change, aspects of vulnerability and sustainability, new forms of mobility and sharing - unprecedented challenges and opportunities are continuously arising. In any case, the urban environment plays a major role in the development of humanity and the quality of life of the individual citizen.

Remote Sensing Technologies and Applications offer a wealth of possibilities and opportunities to monitor the urban environment, to support planning processes, to enhance the availability of relevant information, to shape the sustainable city and to improve the quality of life of citizens. We invite papers related to advanced remote sensing technologies, applications and information systems focusing on the urban environment that push be-yond the state-of-the-art.

These include:

Remote Sensing of Urban Air Quality and Climate • monitoring of air pollutants • characterization of meteorological parameters • urban air quality and climate under climate

change • CO2 emissions, capture and sequestration • urban Energy Budget and heat fluxes • local climate zones • urban heat island.

Remote Sensing and Urban Planning • 2D, 3D and multi-temporal mapping of the

built environment • urban morphology, infrastructures and traffic • urban land cover and biodiversity • urban metabolism (water, energy, waste) • remote sensing-based urban planning

indicators • nature-based solutions.

Smart Cities • information services and mobile applications • crowd sourcing and micro-sensors • data assimilation (combining measurements

and models) • quality of life services • support to people at risk and the health

community• the sustainable and resilient city.

CALL FOR PAPERS



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