International Symposium on Spatial Data Quality 2017 - ISPRS Geospatial Week 2017

ISSDQ 2017

Sept 19-20, 2017,Wuhan University, Wuhan, Hubei, China

ISSDQ is an important event in the field of spatial data quality, it has been successfully held nine research conferences every two years since 1999. ISSDQ 2017 will take place in Wuhan, Hubei, China, from 19th to 20th Sept 2017 organized by International Society for Photogrammetry and Remote Sensing (ISPRS). The main theme of the symposium is "Data Quality of Spatial Big Data". It will be also a part of the ISPRS Geospatial Week 2017 from 18th to 22nd Sept, 2017 in the same place, where a number of workshops and symposiums will be jointly held.

ISSDQ 2017 will bring together professionals, experts and young scientists in the relative domains from all over the world to present issues, standards, and the latest technical developments to manage aspects related to spatial big data quality. It will provide two days of keynote addresses, paper presentations and a poster session.

ISSDQ 2017 - Topics

  • Data Quality in Spatial Big Data
  • Uncertainty in Spatial Sampling
  • Quality Management for Spatial Big Data
  • Stochastic Spatial Simulation
  • Fitness for Use of Spatial Big data
  • Quality in Spatial Data Mining
  • Assessment of Quality of Volunteered Geographic Information Data
  • Positional Error, Incompleteness, Semantic Uncertainty in Spatial Big Data
  • Accuracy Assessment in Remote Sensing data
  • Spatial Big Data Quality Versus Scales
  • Model Validation with Imperfect Ground Truth Data
  • Uncertainty in Remotely Sensed Images and Classification
  • Error Assessment in Digital Elevation Models
  • Uncertainty in Geographical and Environmental Analysis
  • Spatial Data Quality and Decision Making
  • Ontology in Spatial Big Data
  • Model-Based Approaches to Spatial Accuracy Assessment
  • Uncertainty Propagation in Spatial Analytics

ISSDQ 2017 - Committees

Symposium & Organization


  • Wenzhong Shi, The Hong Kong Polytechnic University / Wuhan University

Organization committee:

  • Binbin Lu, Wuhan University
  • Hussein M. Abdulmuttalib, Dubai Municipality, UAE
  • Mahmoud R. Delavar, University of Tehran, Iran
  • Jiangping Chen, Wuhan University
  • JingXiong Zhang, Wuhan University
  • Penglin Zhang, Wuhan University

Scientific Committee

  • Alexis Comber, University of Leeds, UK
  • Alfred Stein, ITC, University of Twente, the Netherlands
  • Ana-Maria Olteanu-Raimond, Cartography and Geomatics Laboratory, IGN, France
  • Árpád Barsi, Budapest University of Technology and Economics, Hungary
  • Ashton Shortridge, Michigan State University, USA
  • Brian G Lees, The University of New South Wales, Australia
  • Cidalia Fonte, University of Coimbra, Portugal
  • Cyril de Runz, University of Reims Champagne-Ardenne, France
  • Deren Li, Wuhan University, China
  • Gerhard Navratil, Technical University of Vienna, Austria
  • Guoman Huang, Chinese Academy of Surveying and Mapping, China
  • Hussein M. Abdulmuttalib, Dubai Municipality, UAE
  • Jianya Gong, Wuhan University, China
  • Jingxiong Zhang, Wuhan University, China
  • Jixian Zhang, National Quality Inspection and Testing Center for Surveying and Mapping Products, China
  • Mahmoud R. Delavar, University of Tehran, Iran
  • Marco Minghini, GEOlab, Politecnico di Milano, Italy
  • Mir Abolfazl Mostafavi, Laval University, Canada
  • Nicholas Hamm, University of Twente, The Netherlands
  • Robert Weibel, University of Zurich, Switzerland
  • Rodolphe Devillers, Memorial University of Newfoundland, Canada
  • Wenzhong Shi, The Hong Kong Polytechnic University, China
  • Xiaohua Tong, Tongji University, China



ISSDQ 2017 - Important Dates

  • Apr., 30th. 2017: Abstract due
  • Apr. 30th, 2017: Full papers due
  • June. 2nd, 2017: Notification of paper acceptance
  • June 30th 2017: Early bird registration
  • 19-20, Sept, 2017: Symposium



ICUI 2017 - Paper submission

Guidelines for authors

  • High-quality full papers or extended abstracts covering one or more of the conference topics should be submitted electronically using the conference tool via the easychair website (
  • Please, consider strictly the deadline for the submission of full papers or extended abstracts, see Important Dates.
  • Authors can submit full papers or extended abstracts for a peer review process.
  • The submissions should be prepared according to the ISPRS guidelines for preparing manuscripts(
  • Accepted full papers will appear as a volume of the Proceedings of Photogrammetry, Remote Sensing and the Spatial Information Science.



ICUI 2017 - Invited Speaker

Sept 19-20, 2017,Wuhan University, Wuhan, Hubei, China

Prof. Peter M. Atkinson is the dean of Faculty of Science and Technology at Lancaster University. The main focus of his research has been in spatial data science and spatial and spatio-temporal statistics applied to a range of environmental and epidemiological phenomena using remote sensing and other big data. Four of the most significant themes of his research group are in (i) remote sensing image downscaling and image fusion, based on explicit models of the space-time sampling framework, (ii) remote sensing of global changes in vegetation phenology and its climate drivers, (iii) spatial epidemiology of vector-borne disease transmission systems, including Trypanosomiasis and malaria, based on agent-based dynamic models and Bayesian mixed regression models, and (iv) spatial modeling of natural hazards and their impacts, including flood forecasting based on Kalman-filter variants, landslide susceptibility mapping based on mixed models and, with colleagues in Southampton, near-Earth object impact simulation based on Newtonian orbital dynamics and big data. He has published over 230 peer-reviewed articles on these topics in international scientific journals, his Thompson H-index is 56 in Google Scholar and 39 in WoS, and he has led multiple large grants and supervised over 50 PhD students. In addition, he has published one book, over 50 refereed book chapters, edited eight journal special issues, and edited eight books. He is Associate Editor for Computers and Geosciences and sits on the editorial boards of Geographical Analysis, Spatial Statistics, the International Journal of Applied Earth Observation and Geoinformation, and Environmental Informatics.

Uncertainty in downscaling

Abstract:Downscaling is an important issue in remote sensing. It refers to the process of producing a finer spatial resolution image than that of the input image. Two types of downscaling issues can be identified based on whether spatial continua or land cover categories (refers to sub-pixel mapping or super-resolution mapping) are predicted. Downscaling is an ill-posed, inverse problem, and some of the required fine spatial resolution information cannot be recovered in some cases, especially for heterogeneous landscapes. However, unavoidably there exists uncertainty in downscaling. In this talk, for both issues (i.e., predicting spatial continua and land cover categories), we introduce an index based on the concept of information gain to evaluate the downscaling predictions. The index can be a complement to the existing ones based on point accuracy, especially when the fine spatial resolution reference is unavailable for quantitative assessment. We also discuss the uncertainty introduced by the point spread function (PSF) effect.

Prof.Jixian ZHANG is Director of National Quality inspection and Testing Center for Surveying and Mapping Products and Editor-in-Chief of International Journal of Image and Data Fusion (IJIDF). He was President of Chinese Academy of Surveying and Mapping (CASM) from July 2006 to February 2016. Prof.Jixian ZHANG has built up his reputation in China through many years’ research work in the fields of photogrammetry and remote sensing, land surveying, cadastral surveying and mapping, and management of academic programs and organizations, and made remarkable contributions to the development of the surveying profession in China. He published over 200 articles in reputation journals and 7 books, won five prestigious National Awards of Science and Technology Progress of China and one Geospatial World Excellence Award. Prof.Jixian ZHANG has many experiences in the international and domestic academic and professional communities and also been interested in international professional activities. He also has rich experiences in international academic exchanges, including his past efforts in organizing 13 international conferences/workshops and making 50+ international invited presentations in surveying, mapping and geoinformation.

Spatial precision and statistical precision: can we have the best of both worlds?

Abstract:Modern digital technology enables us to collect, store and map social and environmental data in fine geographical detail. Such spatial precision is of considerable benefit in helping us to observe and track change at the small area level in for example disease risk, crime risk and environmental risks. This in turn has the potential to enable us to better understand the processes at work and to respond to threats to life and well-being.However to be able to make the best use of such spatially fine-grained data we often need to be able to obtain reliable small area level estimates of attribute properties. But in many instances estimates for small geographical areas suffer from the “small number problem” and a lack of statistical precision. Estimator error in such circumstances may be unacceptably large thereby undermining the benefits that can be derived from such data.I shall look at ways geographical information scientists and spatial statisticians have tried to tackle this problem of spatial data quality in order to have the “best of both worlds” – spatial precision and statistical precision.

Prof. Bob Haining has been the professor of Human Geography at Department of Geography, University of Cambridge since 2000. He is the co-founder of the Spatial Econometrics Association and is an associate editor of several prominent Geographical and interdisciplinary journals including the Journal of Geographical Systems, Geographical Analysis, Spatial and Spatio-Temporal Epidemiology and Computational Statistics. For more than thirty years he has made significant contributions to spatial analysis with applications in the areas of spatial epidemiology and health services research, the geography of crime and economic geography. He has published widely, including two popular books: Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and methods (2003), and articles in over 20 different academic journals in areas that include geography, statistics, economics and epidemiology.

National Surveying Mapping and Geoinformation Quality Management and Supervision System

Abstract:This presentation offers an insight into quality management work of surveying and mapping products in China background of the national laws and department regulations. Combining the affect of strategy of “National Quality Infrastructure” in operation, the presentation gives you an overview of the basis, implement and impact of national quality supervision work in China.

ISSDQ 2017 - Venue

East Lake International Conference Center (EL-ICC)

The East Lake International Conference Center (EL-ICC) is a large building with an area of 31,000m2 inside the beautiful East Lake Park, 5km from WHU campus. There are 32 conference rooms of various sizes; the largest one can hold 1350 people. The EL-ICC has 210 hotel rooms (five star) with matching food services. Within 1km of EL-ICC, there are Chutian Yuehai Hotel (five star), Guochuang Chuyuan Hotel (four star), Binghu Hotel (four Star), Yester Hotel (four star), business hotels and even guest houses (as low as $10 per night for a bed) etc. There are more than 1500 hotel rooms within 5km of the EL-ICC. Attractions such as the Hubei Province Museum are within walking distance of the EL-ICC.


East Lake



ISSDQ 2017 - Registration

Registration for ISSDQ 2017 is handled through the Locate conference website at ISPRS Geospatial Week 2017 Please visit the conference site also for any additional information, such as venue and travel information, nearby accommodation, and the full Locate conference and exhibition program.

ISSDQ 2017 - Past Conferences

  • 9th International Symposium on Spatial Data Quality (ISSDQ 2015), Montpellier, France, 29th to 30th Sept 2015
  • 8th International Symposium on Spatial Data Quality (ISSDQ 2013), Hong Kong, China, 30th May to 1st June 2013
  • 7th International Symposium on Spatial Data Quality (ISSDQ 2011), Coimbra, Portugal, 12nd to 14th October 2011
  • 6th International Symposium on Spatial Data Quality (ISSDQ 2009), Newfoundland, Canada, 6th to 8th July 2009
  • 5th International Symposium for Spatial Data Quality (ISSDQ 2007), Enschede, the Netherlands, 13rd to 15th June 2007
  • 4th International Symposium on Spatial Data Quality (ISSDQ 2005), Beijing, China, 25th to 26th August, 2005
  • 3rd International Symposium on Spatial Data Quality (ISSDQ 2004), Bruck an der Leitha, Austria, April 15th to 17th, 2004
  • 2nd International Symposium on Spatial Data Quality (ISSDQ 2003), Hong Kong, China, 19th to 20th March, 2003
  • 1st International Symposium on Spatial Data Quality (ISSDQ 1999), Hong Kong, China, 18th to 20th July 1999