7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. Edited by M. Caetano and M. Painho.

Symposium chairs:
Chair: Mário Caetano (Portuguese Geographic Institute, PT)
Co-chair: Marco Painho (ISEGI – New University of Lisbon, PT)

Organizing Committee:
Secretary: Maria Pereira (Portuguese Geographic Institute, PT)
Members: Amílcar Soares (IST, Technical University of Lisbon, ePT), Cidália Fonte (University of Coimbra, PT), Gerard Heuvelink (Wageningen University, NL), Linda Lilburne (Landcare Research, NZ), Rui Juliao (Portuguese Geographic Institute, PT)

| OFFICIAL BROCHURE | THE FINAL REPORT | 

PLENARY LECTURES

• A methodology for translating positional error into measures of attribute error, and combining the two error sources
• The evaluation and comparison of thematic maps derived from remote sensing
• Incorporating process knowledge in spatial interpolation of environmental variables
• Towards a systems approach to the visualization of spatial uncertainty
• Expanding the conceptual, mathematical and practical methods for map comparison

APPROACHES TO SPATIAL ACCURACY ASSESSMENT

• Analysis of homogeneity and isotropy of spatial uncertainty by means of GPS kinematic check lines and circular statistics
• Statistical efficiency of model-informed geographic sampling designs
• A stratified sampling approach to the spatial accuracy assessment of digital cartography: an application to the portuguese Ecological Reserve
• Spatial sampling design for prediction taking account of uncertain covariance structure
• Spatial properties of design-based versus model-based approaches to environmental sampling

CHARACTERISING UNCERTAINTY IN DEM

• Use of historical flight for landslide monitoring
• Improvement of positional accuracy of a landslide database using digital photogrammetry techniques
• Producing digital elevation models with uncertainty estimates using a multi-scale Kalman filter
• Analysis of interpolation errors in urban digital surface models created from Lidar data
• Digital Terrain Model generation using airborne LiDAR in a forested area of Galicia, Spain
• Comparison of Methods for Deriving a Digital Elevation Model from Contours and Modelling of the Associated Uncertainty
• Assessing the accuracy of hexagonal versus square tilled grids in preserving DEM surface flow directions

ERROR SENSITIVE SPATIAL DATABASES

• Dealing with Multiple Accuracy Levels in Spatial Databases with Continuous Update

METADATA AND DATA QUALITY

• Do spatial data consumers really understand data quality information?
• Modeling spatial variation in data quality using linear referencing
• Do users ignore spatial dada quality?

POSITIONAL UNCERTAINTY

• Checking the spatial accuracy of class boundaries with a varying range of accuracy requirements
• Modelling positional errors with isotropic random vector fields
• Some Basic Mathematical Constraints for the Geometric Conflation Problem
• Positional Accuracy of Biological Research Data in GIS – A Case Study in the Swiss National Park
• Reducing positional error in spatio-temporal analyses
• Topological relations using two models of uncertainty for lines
• Enhancement of image-to-image co-registration accuracy using spectral matching methods
• A new method for obtaining geoidal undulations through Artificial Neural Networks

PROPAGATION OF UNCERTAINTY

• Sensitivity analysis and uncertainty analysis for vector geographical applications
• Sensitivity analysis on spatial models: a new approach
• A comparison of error propagation analysis techniques applied to agricultural models
• Error propagation in groundwater pesticide vulnerability modelling
• Spatial uncertainty analysis of pesticide leaching using a metamodel of PEARL
• Simulating space-time uncertainty in continental-scale gridded precipitation fields for agrometeorological modelling

SPATIAL UNCERTAINTY MODELLING FOR CATEGORICAL DATA

• RENalyzer: A tool to facilitate the spatial accuracy assessment of digital cartography
• Categorical models for spatial data uncertainty
• Using spatially constrained clustering in land cover mapping
• Weighting fidelity versus classified area in remote sensing classifications from a pixel and a polygon perspective

SPATIO-TEMPORAL ANALYSES AND UNCERTAINTY

• Identification of inhomogeneities in precipitation time series using SUR models and the Ellipse test
• Estimating error and uncertainty in change detection analyses of historical aerial photographs
• Kriging of spatial-temporal water vapor data
• Mapping trends in water table depths in a Brazilian Cerrado area
• Reducing uncertainty in analysis of relationship between vegetation patterns and precipitation
• Modeling uncertainty in spatiotemporal objects

STOCHASTIC SPATIAL SIMULATION

• Assessing spatial clustering of MRSA with stochastic simulations, kernel estimation and SATSCAN
• Accuracy assessment of digital elevation model using stochastic simulation
• Local error evaluation in DEM using direct sequential simulation (DSS) methodology
• Progress with the design of a soil uncertainty database, and associated tools for simulating spatial realisations of soil properties
• Spatial simulation of forest using Bayesian state-space models and remotely sensed data

UNCERTAINTY IN REMOTELY SENSED DATA

• Accuracy assessment of High Resolution Satellite Imagery by Leave-one-out method
• Deriving thematic uncertainty measures in remote sensing using classification outputs
• Determining the effects of different scanner and scanning resolutions on orientation errors in producing of Orthophotos
• Effects of different methods for estimating impervious surface cover on runoff estimation at catchment level
• Merging Landsat and SPOT digital data using stochastic simulation with reference images
• Accuracy assessment methodology for the Mexican national forest inventory: a pilot study in the Cuitzeo lake watershed
• A classification method for remotely sensed imagery by integrating with spatial structure information
• The critical role of geographic information system (GIS) and remote sensing (RS) in forest site classification and mapping
• On dealing with spatially correlated residuals in remote sensing and GIS
• Sampling simulation on multi-source output forest maps - an application for small areas
• A performance index developed by data envelopment analysis (DEA) to compare the efficiency of fire risk monitoring actions in municipalities of Brazilian Amazon region
• Hydraulic and event knowledge to reduce the positional uncertainty in SAR flood images for improved flood model calibration and development
• Comparing accuracy of classified Landsat data with land use maps reclassified from the stand type maps
• Assessing the Thematic Accuracy for Coral Reef Classification
• Uncertainty characterization in remotely sensed land cover information

UNCERTAINTY IN SPATIAL DATA FUSION

• Improving positional accuracy and preserving topology through spatial data fusion
• Semantic similarity assessment in support of spatial data integration
• Matching imperfect spatial data
• Mapping uncertainty in land cover characterization by comparison of land cover cartographies - A case study for Portugal

UNCERTAINTY IN SPATIAL DECISION MAKING

• A fuzzy-based tool for spatial reasoning: A Case study on soil erosion hazard prediction
• Development of a decision framework to identify appropriate spatial and temporal scales for modeling N flows
• Uncertainty and Risk Analysis in Hydrological Models for Land-use Management
• Analysis of spatial variability of pH, P and K in red latosoil cultivated in direct planting system
• Fitness for Use - to Support Military Decision Making

USING FUZZY SET THEORY TO CHARACTERISE SPATIAL UNCERTAINTY

• Best locations for river water quality monitoring sensors through fuzzy interpolation
• Conversion between the vector and raster data structures using Fuzzy Geographical Entities
• UGML: an extension of GML to provide support for geographic objects with uncertain boundaries

VISUALISATION OF UNCERTAINTY IN GEOGRAPHICAL DATA

• Maps are not what they seem: representing uncertainty in soil-property maps
• Expressing attribute uncertainty in spatial data using blinking regions
• Dynamic visualisation of spatial and spatio-temporal probability distribution functions

POSTER SESSION

• IGeoE: Positional quality control in the 1/25000 cartography
• IGeoE: Positional quality control with different rtk positioning methods
• Analysing the sensitivity of two variogram models for the characterisation of the spatial pattern of depth in rivers
• Precipitation measurement and the analysis of hydrological resources in a river basin
• Analyzing the Accuracy of Spatial and Temporal Dynamics of Land Use Pattern in Turkey: Case study in Inayet and Yenice Forest Planning Units
• Accuracy improvement program for VMap1 to Multinational Geospatial Coproduction Program (MGCP) using artificial neural networks
• Application of statistics to detection of green resources changes at Yangmingshan area using remote sensing imagery
• Artificial Neural Networks applied in the determination of Soil Surface Temperature – SST
• Classification of Spatial Variation Pattern for Identifying Pollution Sources: A Case Study on Sediment Contamination in Bizerte Lagoon, Tunisia

NOTE: The above listed papers have not been peer-reviewed. Please read also the website disclaimer.