Accuracy 2008

Accuracy 2008 was organized and hosted jointly by the Institute of Geographic Sciences and Natural Resources Research of the Chinese Academy of Sciences, Wuhan University, and the Chinese Academy of Surveying and Mapping.

Goodchild M. F. Spatial accuracy 2.0, pp 1-7 (keynote)

Gotway Crawford C. A. and Young L. J. Geostatistics: what’s hot, what’s not, and other food for thought, pp 8-16 (keynote)

Hengl T., van Loon E. E., Shamoun-Baranes J. and Bouten W. Geostatistical analysis of GPS trajectory data: space-time densities, pp 17-24

Cao G. and Kyriakidis P. C. Combining transition probabilities in the prediction and simulation of categorical fields, pp 25-32

Liou J.-J., Su Y.-F., Chiang J.-L. and Cheng K.-S. A covariance conversion approach of Gamma Random Field simulation, pp 41-45

Posen P., Hutchins M., Lovett A. and Davies H. Robust interpolation of agricultural census data to hydrological units and implications for diffuse pollution modelling, pp 46-53

Zhang J., Kyriakidis P. and Kelly R. Geostatistical approaches to conflation of continental snow data, pp 54-61

Yamamoto J. K. Assessing uncertainties for lognormal Kriging estimates, pp 62-69

Yamamoto J. K. and Monteiro da Rocha M. Properties and applications of the interpolation variance associated with Ordinary Kriging estimates, pp 70-77

Li C., Chen L., Wang Y. and Zheng S. On effects of weights in spatial interpolation, pp 78-84

Griffith D.A. Spatial autocorrelation and random effects in digitizing error, pp 94-102

Zhang S. and Zhang K. The study on trinary join-counts for spatial autocorrelation, pp 111-118

Zhang G. and Zhu C. Measurement indices of positional uncertainty for plane line segments based on the Ɛơ model, pp 119-125

Ukkonen T., Rousi T., Oksanen J. and Sarjakoski T. Distributed error propagation analysis for automatic drainage basin delineation, pp 126-133

Mao H. and Shi W. Uncertainty and its propagation in land investigation, pp 134-137

Du P., Wang X., Tan K. and Foody G. M. Impacts of noise on the accuracy of hyperspectral image classification by SVM, pp 138-144

Atkinson P. Issues of uncertainty in super-resolution mapping and the design of an inter-comparison study, pp 145-154 (keynote)

Yan Z., Yang H. and Chai Y. A study on the LAI up-scaling based on mathematic transformation, pp 155-161

Yang X., Qin K., Wu C. and Chen L. Simulation of coastlines based on cloud fractal, pp 162-166

Wen J., Liu Q., Liu Q., Xiao Q. and Li X. Scale effects and correction for land surface albedo in rugged terrain, pp 167-175

Tao X., Yan B., Wu D., Fan W. and Xu X. A scale transform method for leaf area index retrieved from multi-resolutions remote sensing data, pp 176-182

Bo Y. A method to improve the accuracy of remote sensing data classification by exploiting the multi-scale properties in the scene, pp 183-188

Zhao H., Chen D., Shi J. and Zhou S. Effects of spatial grain size on landscape pattern of Qingpu District in Shanghai, pp 189-195

Yu Z. and Hu L. An improved algorithm for image fractal dimension, pp 196-200

Lin Z. and Deng B. Quantifying degrees of information in remote sensing imagery, pp 201-205

Chen Y., Lin Z. and You J. Information-theoretical comparison between actual and potential natural vegetation, pp 206-212

Zhan X. Accuracy issues associated with satellite remote sensing soil moisture data and their assimilation, pp 213-220

Han X. and Li X. On the representation of spatial uncertainties with stochastic simulation in land data assimilation, pp 221-227

Wei M., Li N., Kang H., Shi Y. and Jiang J. Uncertainty analysis of radar wind retrieval with data assimilation, pp 228-233

Gu J., Li X. and Huang C. Spatio-temporal reconstruction of MODIS NDVI data sets based on data assimilation methods, pp 242-247

Huang C., Li X., Wang J. and Gu J. Assimilation of remote sensing data products into common land model for evapotranspiration forecasting, pp 234-241

Zhang W., Wang H., Zhou G. and Yan G. Corn 3D reconstruction for remote sensing validation, pp 255-260

Pijanowski B.C. Sustainability, climate change and uncertainty, pp 261-268 (keynote)

Heuvelink G. B. M., Van Den Berg F., Burgers S. L. G. E. and Tiktak A. Uncertainty analysis of the GeoPEARL pesticide leaching model, pp 269-277

Yoo E.-H., Wang Y.-C. and Trgovac A. Spatial uncertainty assessment in the reconstruction of presettlement forest patterns in western NY, USA, pp 278-279

Bai S.B., Wang J., Pozdnoukhov A. and Kanevski M. Validation of spatial prediction models for landslide susceptibility maps, pp 280-286

Guo D., Guo R., Midgley G. F. and Rebelo A. G. Climate change impacts on Protea species: PDEAR model predictions, pp 287-293

Chen F., West L. T., Kissel D. E., Clark R. and Adkins W. Field-scale mapping of soil organic carbon with soil-landscape modeling, pp 294-301

Zhang Z., Peterson J., Zhu X. and Wright, W. Revealing long term land use and land cover change in a severely disturbed environment, pp 302-308

Chen Y., Khan S. and Padar Z. Irrigation intensification or extensification assessment: a GIS-based spatial fuzzy multi-criteria evaluation, pp 309-318

Basnet B. Degree of site suitability measurement in a GIS: the effect of varous standardization methods, pp 319-326

Vieira C., Marotta G., Rodrigues D. and Andrade R. Visualizing positional uncertainties of geometric corrected remote sensing images, pp 327-334

O’Brien R. Visualising uncertainty in spatial decision support, pp 335-340

Guo D. Propagation and visualization of uncertainty in NL-based spatial analysis, pp 341-347

Sarmento P., Carrão H. and Caetano M. A fuzzy synthetic evaluation approach for land cover cartography accuracy assessment, pp 348-355

Xu D., Zhong M. and Du Q. Fuzzy evaluation of quality in DLGs, DRGs, DEMs, and DOMs, pp 356-361

Stein A. Handling uncertainties in image mining for remote sensing studies, pp 362-368 (keynote)

Chen J. and Tan X. Mining spatial association rules with geostatistics, pp 369-376

Shao Z., Liu J. and zhu X. Image mining for generating ontology databases of geographical entities, pp 377-384

Shao Z., Liu J. and Zhu X. Building semantic ontology databases based on remote sensing images, pp 385-392

Frank A. U. Data quality – what can an ontological analysis contribute?, pp 393-397

van Oort P. A. J. Geo-data user chains, pp 398-405

Li D. Uncertainty in spatial information, analysis, and applications: Chinese perspectives, pp 1-7 (keynote)

Stehman S. V. Sampling designs for assessing map accuracy, pp 8-15 (keynote)

Zhang K. and Zhang S. Estimation of linear vectorial semiparametric models by least squares, pp 16-21

Qu G., Su X. and Han B. Residual error analysis of GPS data sequence based on WP, pp 22-29

Zhang X. and Yuan X. Effects of exterior orientation elements on direct georeferencing in POS-supported aerial photogrammetry, pp 30-36

Wu Z., Yi L. and Zhang G. Geometrical uncertainty of objects and its influence in the object-oriented multi-source remote sensing imagery processing, pp 37-44

Cao H. Automatic recognition and localization of ground marked points based on template, pp 45-50

Wu D., Liu Y., Guo L., Cheng F. and Li G. Spatial projection rectification for densifying ground control points, pp 51-58

Ji H. and Xu A. Accuracy of matching between probe-vehicle and GIS map, pp 59-64

Gui D., Li G., Li C. and Zhang C. Quality check in urban and rural cadastral spatial data updating, pp 65-70

McDougall K., Liu X., Basnet B. and Apan A. Evaluation of current DEM accuracy for Condamine catchment, pp 71-78

Liu X., Zhang Z., Peterson J. and Chandra S. Large area DEM generation using airborne LiDAR data and quality control, pp 79-85

Wang L., Shi Y., Wan J. and Chen W. Handling uncertainty in underwater terrain during dredging by using filled-matrix algorithms, pp 86-91

Li H., Jia X., Niu Y. and Wang R. Image-based spatial information systems for geologic logging, pp 92-99

Wang Z., Zhu C. and Wang Y. The reconstruction and applications of the contour lines based on TINs, pp 100-106

Pan B. and Gan J. Error analysis and accuracy assessment of InSAR phase unwrapping, pp 107-113

Liu R., Miao F. and Wang B. Mining subsidence monitoring by using the information of ground sunk seeper, pp 114-118

Zhang Y., Wu H., Cheng X. and Liu C. Accuracy evaluation of the three dimensional laser range scanner based on field calibration, pp 119-126

Sun W., Liu C. and Wu H. Accuracy evaluation and gross error detection in Digital Elevation Models based on LIDAR data, pp 127-133

Xi X., Li R., Liu Z. and Jiang X. Forest characteristics and effects on LiDAR waveforms modeling and simulation, pp 134-140

Zhang J. and Liu P. Combined fitting based on robust trend surface and orthogonal multiquadric with applications in DEMs fitting, pp 141-147

Yue T. and Song Y. The YUE-HASM method, pp 148-153

Foody G. M. Sample size determination for image classification accuracy assessment and comparison, pp 154-162

Stuart N., Jaas T, Zisopoulos I. and Viergever K. Methods for estimating the accuracy of per-pixel, per-parcel and expert visual classification of high resolution optical satellite imagery, pp 163-170

Ge Y., Li S., Duan R., Bai H. and Cao F. Multi-level measurements for uncertainty in classified remotely sensed imagery, pp 171-178

Gonçalves L. M. S., Fonte C., Júlio E. N. B. S. and Caetano M. A method to incorporate uncertainty in the classification of remote sensing images, pp 179-185

Bo Y. and Wang J. A general method for assessing the uncertainty in classified remotely sensed data at pixel scale, pp 186-194

Zhang G., Wu Z. and Yi L. A remote sensing feature discretization method accommodating uncertainty in classification systems, pp 195-202

Du P., Li G., Yuan L. and Aplin P. Consistency analysis of multi-source remotely sensed images for land cover classification, pp 203-210

Huang L. and Ni L. Object-oriented classification of high resolution satellite image for better accuracy, pp 211-218

Lin H., Wang J., Bo Y. and Bian J. The impacts of landscape patterns on the accuracy of remotely sensed data classification, pp 219-225

Zhou J. and Sun J. Accuracy in remotely sensed urban greenery land cover, pp 226-232

Yin Z., Wen J. and Xu S. Uncertainty analysis for remote sensing classification in the context of disaster studies in Shanghai, pp 233-239

Ran Y., Li X., Lu L. and Bai Z. Land cover classification information decision making fusion based on Dempster-Shafer theory: results and uncertainty, pp 240-247

Luo S., Zhang B. and Guo H. A comprehensive evaluation of digital image map quality based on the cloud model, pp 248-254

Zhang H. and Shu N. Land use/cover change detection using feature database based on vector-image data conflation, pp 255-262

Cui Y., Zeng Z. and Fu B. Hyperspectral image classification based on compound kernels of Support Vector Machine, pp 263-269

Cui W., Guan Z. and Qin K. A multi-scale image segmentation algorithm based on the cloud model, pp 270-276

Gong Y., Shu N. and Lin L. Hyperspectral remote sensing image interpretation based on spatial information analysis of homogenous-regions, pp 277-282

Gong H., Zhang J. and Shen S. Object-based correspondence analysis for improved accuracy in remotely sensed change detection, pp 283-290

Shu N., Lin L., Gong Y., Xiao J. and Jin F. Scale-span classification of multispectral images based on feature construction and decision trees, pp 291-297

Zhang J., Huang S., Zhu G. and Lin J. A new method for multi-temporal SAR image-based change detection, pp 298-304

Huang H., Chen M., Liu Q., Liu Q., Zhang Y. and Qin W. A realistic structure model for forest radiosity simulation on large scales, pp 305-312

Huang H., Wang L., Zhang Y. and Liu Q. Temporal and spatial thermal radiation distribution analysis within and above crop canopies by 3D simulation, pp 313-320

Li F., Xiao B., Jia Y. and Mao X. Remote sensing image classification based on improved fast independent component analysis, pp 321-327

Fang S., Dian Y. and Fan Y. Inversion of surface temperature based on MODIS and ASTER imagery, pp 328-334

Meng L., Tao L., Li J. and Wang C. A system for automatic processing of MODIS L1B data, pp 335-343

Xiao M., Jia Y., He Z. and Chen Y. Edge detection of riverway in remote sensing images based on curvelet transform and GVF snake, pp 344-351

Zhang W., Huang C., Peng H., Wang Y., Zhao Y. and Chen T. Chlorophyll a (Chl-a) concentration measurement and prediction in Taihu Lake based on MODIS image data, pp 352-359

Fan Q. and Zhang T. An image decomposition model using the Dual method and H-1 norm, pp 360-367

Wang S., Wu J., Cheng F. and Jin H. Metric and identification of spatial objects based on data fields, pp 368-375

Xu T., Wang L., Zhang D. and Gao L. Estimation of travel times in the context of intermodal transportation, pp 376-382

Tang L., Lou X., Lv H. and Ge X. Multi-index regional forest fire ratings appraisal platform design and implementation, pp 383-390

Xu A., Li Y. and Wang D. Study on forest fire prevention three-dimensional background database, pp 391-397

Zhang H., Gao F. and Feng Q. A mine environmental GIS: framework, key techniques, and case study, pp 398-404

Liu D. and Chun Y. Simulation analysis of error propagation on land cover change maps: a comparison of contextual and non-contextual models, pp 405-411

Shi, W. From uncertainty description to spatial data quality control, pp 412-417 (keynote)