Robert J. Peckham - Gyozo Jordan (Eds.)
Digital Terrain ModellingThe book has been published in the Springer series Lecture Notes in Geoinformation and Cartography: LECTURE NOTES IN GEOINFORMATION AND CARTOGRAPHY
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This volume presents a set of papers on Digital Terrain Modelling oriented towards applications for Policy Support. It is a compilation of research results by international groups, mostly based at the European Commission's Joint Research Centre, providing scientific support to the development and implementation of EU environmental policy. The first six papers describe recent advances in the theories and foundations as well as the practical techniques for developing and tailoring digital terrain models for their intended purposes, while the following papers focus on specific applications. Applications include the pan- European River and Catchment Database, European Flood Alert System, European Digital Soil Database and solar energy resource assessment, all discussed in a GIS framework in the context of the INfrastructure for SPatial InfoRmation in Europe (INSPIRE). This practice-oriented book is recommended to environmental modelers and GIS experts working on regional planning and policy support applications.
This book presents a set of papers on Digital Terrain Modelling for Policy Support which aims to be informative and stimulating for both developers and users of digital terrain models. It should also be useful for professionals who are interested in the wider aspects of the applications of terrain models in support for policies and decision making.
There is an increasing demand for regional and continental scale data for use in environmental modelling and spatial analysis to support environmental policy development and implementation. Important environmental processes act at regional and continental scales, for example climatic change inducing floods and soil erosion, and management of these processes for the sustainable development of society requires policies to be applied at the corresponding scales. One of the most important factors influencing these environmental processes which act on the earth's surface is the surface topography, hence the need for extensive, harmonised digital terrain models.
Despite the steadily increasing literature on the developing field of digital terrain modelling, there is a lack of information about their regional and policy applications. Some reasons for this are that, on one hand, policies are only recently being developed for the regional and continental scales, and are still largely limited to developed parts of the world and, on the other hand, large-scale DEMs and the required computational power have only become widely available relatively recently. This book therefore aims to give an inspiring insight into the problems, methods and some of the applications of DEMs in policy support. It is practice-oriented by providing descriptions of algorithms, databases and information sources oriented to the environmental modeller and GIS expert working on regional planning and policy support applications.
The first six papers describe recent advances in the theories and foundations as well as the practical techniques for developing and tailoring the digital terrain models for their intended purposes. The topics addressed include the mathematical and numerical development of digital terrain analysis for geomorphometric and surface transport modelling, the use of mathematical morphology and image analysis to describe terrain features, optimisation of interpolation parameters using cross-validation, and the influence of input data design on the accuracy of the resulting elevation models. Also reported are projects which are making use of data from the Shuttle Radar Topography Mission (SRTM). Modern techniques for data capture based on space technology now allow us to obtain elevation information on a European and even global scale, but even with these methods for extensive data capture a lot of work still needs to be done in processing, refining and adapting the data for its specific purpose. These techniques are brought out in papers describing development of European databases for use in soil applications and hydrology.
The following five papers focus more closely on applications. Three are devoted to applications of digital terrain models related to flooding, including a decision support system for flood control, flood risk mapping, and the design of flood emergency reservoirs. The next paper describes the development of physiographic units for the European sector of the World Soil and Terrain (SOTER) Digital Database, which has a very broad range of applications in the management of agricultural and environmental resources. The final application is solar energy resource modelling, for which elevation, aspect and slope are key input data.
Two further technical notes describe statistical tools for analysis of Digital Elevation Models, and the definition and calculation of the Potential Drainage Density Index which is useful for characterising landscapes in hydrogeological applications.
We are especially grateful to the European Commission's Joint Research Centre (JRC) which has contributed extensively to this volume. Most of the authors of the presented papers are either based at the JRC's Environment Institute, or have spent some time there working on digital terrain models in a policy support context. The JRC is concerned with the application of the innovations in science and technology to support policies for the whole of Europe and it is therefore particularly appropriate that they are involved in the development of the methods and applications for Digital Terrain Modelling over this extensive region. In order to provide sound, fair and well balanced policy support for all European countries it is essential that the underlying scientific and technical data be accurate, reliable, and harmonised for their intended purpose. The work on harmonising geospatial information in general is of special concern for the European Commission, as it is needed to sustain many European Policy areas, and the JRC is strongly supporting the INSPIRE initiative (Infrastructure for Spatial Information in Europe) which is working towards this goal. Digital Terrain Models are an excellent example of a type of geographic information where, in the past, different approaches, methods and standards applied in different countries have lead to discrepancies arising at country borders when information is put together. These discrepancies can no longer be tolerated when we need to model and simulate, for example, flooding in rivers which cross the borders. The work described in this book can therefore be seen as a contribution to the INSPIRE initiative, but also an essential step in making Digital Terrain Models applicable for a range of policy applications over a wide region. The scientific and technical foundations of this, including the theories, methods, and algorithms, are the daily work of the authors of these papers and we sincerely thank them all for their substantial contributions and patience during the editing phase. Additional thanks are due to Pierre Soille for his excellent assistance with indexing.
We hope that this book will provide a useful input to the research field of Digital Terrain Modelling, as well as a helpful support, and indeed an inspiration to people working in this area.
| CHAPTER 1. | |
| DIGITAL TERRAIN ANALYSIS IN A GIS ENVIRONMENT | |
| CONCEPTS AND DEVELOPMENT | 1 |
| Gyozo Jordan | |
| 1. Introduction | 1 |
| 2. Digital Terrain Analysis in a GIS Environment | 2 |
| 3. Mathematical Development | 4 |
| 3.1 Vector-scalar Functions: Spatial Curves, Curvature and Surfaces | 4 |
| 3.2 Scalar-vector Functions: Gradient Vector, Slope and Aspect | 14 |
| 3.3 The Link between Surface Geometry and Surface Flow: Gradient and Curvature | 17 |
| 3.4 Vector Analysis and Digital Terrain Modelling: Geometric Characterisation of Topographic Surfaces | 20 |
| 4. Numerical Methods | 21 |
| 4.1 Digital Representation of Topographic Surface: Continuity and Smoothness | 21 |
| 4.2 Calculation of Partial Derivatives for Gradient and Curvature Estimation | 24 |
| 4.3 Which Gradient Calculation Method Should be Used? | 28 |
| 4.4 Avoiding Second-order Derivatives: Break Lines and Inflexion Lines | 33 |
| 4.5 Calculation of Singular Points | 35 |
| 4.6 Digital Drainage Analysis: Ridge and Valley Lines | 37 |
| 5. Conclusions | 38 |
| References | 39 |
| CHAPTER 2. | |
| FROM MATHEMATICAL MORPHOLOGY TO MORPHOLOGICAL TERRAIN FEATURES | 45 |
| Pierre Soille | |
| 1. Introduction | 45 |
| 2. First Steps in Mathematical Morphology | 46 |
| 2.1 Erosion and Dilatation | 46 |
| 2.2 Opening and Closing. | 47 |
| 2.3 Geodesic Transformations | 47 |
| 3. From Topographic Maps to DEMs | 50 |
| 3.1 Plateau Image Generation | 51 |
| 3.2 Interpolation Along Steepest Slope Lines | 51 |
| 4. From DEMs to River Networks | 52 |
| 4.1 Spurious Pits and their Suppression | 54 |
| 4.2 Flow Directions | 57 |
| 4.3 Contributing Drainage Areas | 59 |
| 5. Dividing Lines | 59 |
| 5.1 Watersheds | 62 |
| 5.2 Crest Lines | 62 |
| 6. Concluding Remarks | 62 |
| References | 63 |
| CHAPTER 3. | |
| OPTIMISATION OF INTERPOLATION PARAMETERS USING CROSS-VALIDATION | 67 |
| Jaroslav Hofierka, Tomás Cebecauer and Marcel Súri | |
| 1. Introduction | 67 |
| 2. Interpolation by Regularised Spline with Tension | 68 |
| 3. The RST Control Parameters | 70 |
| 4. Evaluation of Interpolation Accuracy | 71 |
| 5. Application to Digital Terrain Modelling | 73 |
| 6. Results and Discussion | 75 |
| 7. Conclusions | 79 |
| References | 81 |
| CHAPTER 4. | |
| SCALE-DEPENDENT EFFECT OF INPUT DATA DESIGN ON DEM ACCURACY | 83 |
| Radoslav Bonk | |
| 1. Introduction | 83 |
| 2. Study Area | 86 |
| 3. Methodology | 87 |
| 3.1 Statistical Analysis of Interpolated Surfaces | 88 |
| 4. Results | 89 |
| 4.1 Statistical Analysis | 89 |
| 4.2 Spatial Autocorrelation | 91 |
| 5. Discussion | 92 |
| 6. Conclusions | 93 |
| References | 97 |
| Referenced Web Sites | 98 |
| CHAPTER 5. | |
| SRTM AS A POSSIBLE SOURCE OF ELEVATION INFORMATION FOR SOIL-LANDSCAPE MODELLING | 99 |
| Borut Vrscaj, Joël Daroussin and Luca Montanarella | |
| 1. Introduction | 99 |
| 2. Gaps and Noise in SRTM Data | 100 |
| 3. Digital Surface Model vs. Digital Elevation Model | 101 |
| 4. Materials and Methods | 103 |
| 4.1 Description of the Test Area | 103 |
| 4.2 SRTM Elevation Data | 104 |
| 5. Results and Discussion | 107 |
| 5.1 Possible Solutions for Data Improvement of SRTM | 107 |
| 6. Case Study | 111 |
| 6.1 Quantitative Comparison of the SRTM DEM to National DEMs | 111 |
| 7. Two Possible SRTM Processing Workflows | 115 |
| 7.1 Workflow for Building a Seamless Pan-European DEM for Noncritical Applications | 115 |
| 7.2 Procedure for Building a Seamless DEM | 116 |
| 8. Conclusions | 116 |
| References | 118 |
| Referenced Web Sites | 119 |
| Appendix | 119 |
| 1. Commands | 119 |
| 2. Software applications | 120 |
| 3. Selected data sources | 120 |
| CHAPTER 6. | |
| DEVELOPMENT OF A PAN-EUROPEAN RIVER AND CATCHMENT DATABASE | 121 |
| Jürgen Vogt, Pierre Soille, Roberto Colombo, Maria Luisa Paracchini and Alfred de Jager | |
| 1. Introduction | 121 |
| 2. Study Area | 123 |
| 3. Input Data | 124 |
| 3.1 Digital Elevation Data | 124 |
| 3.2 Inland Water Body Layer | 125 |
| 3.3 Environmental Data Layers | 126 |
| 4. Methodology | 127 |
| 4.1 Landscape Stratification | 128 |
| 4.2 Threshold Definition | 130 |
| 4.3 River Network Extraction | 133 |
| 4.4 Drainage Basin Delineation | 135 |
| 5. Data Validation | 135 |
| 6. Additional Features | 137 |
| 6.1 Pfafstetter Coding | 137 |
| 6.2 Adding Names to Rivers and Catchments | 139 |
| 7. Conclusions and Outlook | 140 |
| References | 141 |
| Referenced Web Sites | 144 |
| CHAPTER 7. | |
| DECISION SUPPORTING HYDROLOGICAL MODEL FOR RIVER BASIN FLOOD CONTROL | 145 |
| János Adolf Szabó | |
| 1. Introduction | 145 |
| 2. The DIWA Model | 147 |
| 2.1 Cell Link Network Definition Based on Digital Elevation Model (DEM) | 149 |
| 2.2 Rain or Snow, and Snowmelt | 151 |
| 2.3 Interception and Through-fall Estimation | 151 |
| 2.4 Evaporation and Evapotranspiration | 152 |
| 2.5 Modelling of the Subsurface Run-off Processes | 154 |
| 2.6 Surface Run-off Calculation | 160 |
| 2.7 Numeric Solution | 161 |
| 2.8 Some Numerical Aspects | 162 |
| 3. Application of the DIWA Model in the Upper Part of the Tisza River Basin | 163 |
| 3.1 Background and Some Characteristics of the Tisza Basin | 163 |
| 3.2 Data Preparation and Pre-processing | 168 |
| 3.3 Calibration and Validation | 171 |
| 3.4 Scenario Analysis for Vegetation Density Changes on the Upper-Tisza Basin | 176 |
| 4. Conclusions | 178 |
| References | 180 |
| CHAPTER 8. | |
| POTENTIAL FLOOD HAZARD AND RISK MAPPING AT PANEUROPEAN SCALE | 183 |
| Ad De Roo, Jose Barredo, Carlo Lavalle, Katalin Bodis and Rado Bonk | |
| 1. Introduction | 183 |
| 2. Flood Hazard Mapping Using DEM | 185 |
| 3. Methodology | 186 |
| 3.1 Step 1: Defining the Elevation Difference of Each Pixel with the River | 187 |
| 3.2 Step 2: Defining the Critical Water Levels | 187 |
| 4. Potential Flood Hazard Maps of Europe | 191 |
| 5. Validation of the Flood Hazard Map | 194 |
| 6. From Regional Flood Hazard to Regional Flood Risk | 196 |
| 7. A Flood Risk Map of Europe | 199 |
| 8. Conclusions | 200 |
| References | 200 |
| Referenced Web Sites | 201 |
| CHAPTER 9. | |
| HIGH-RESOLUTION DEM FOR DESIGN OF FLOOD EMERGENCY RESERVOIRS | 203 |
| Katalin Bódis | |
| 1. Introduction | 203 |
| 2. Materials and Methods | 208 |
| 3. The Digital Elevation Model of the Reservoir | 213 |
| 3.1 Source of DEM | 213 |
| 3.2 Creation of DTM | 213 |
| 3.3 Value Check of DTM | 215 |
| 4. Application of DEM to Flood Mitigation Plans | 217 |
| 4.1 Quick Area and Reservoir Capacity Calculation | 217 |
| 4.2 Capacity Curve for Planning | 219 |
| 4.3 Flow Direction, Inundation and Discharge Simulation, Running-off Modelling | 219 |
| 4.4 Monitoring of Environmental Changes, Siltation | 222 |
| 5. Conclusion | 222 |
| References | 224 |
| Referenced Web Sites | 226 |
| CHAPTER 10. | |
| A QUANTITATIVE PROCEDURE FOR BUILDING PHYSIOGRAPHIC UNITS FOR THE EUROPEAN SOTER DATABASE | 227 |
| Endre Dobos, Joël Daroussin, Luca Montanarella | |
| 1. Introduction | 227 |
| 2. Materials and Methods | 230 |
| 2.1 The Study Area | 230 |
| 2.2 The Data | 230 |
| 2.3 Methods | 232 |
| 3. Results and Discussion | 246 |
| 4. Conclusions | 254 |
| References | 255 |
| Referenced Web Sites | 256 |
| Appendix | 257 |
| CHAPTER 11. | |
| SOLAR RESOURCE MODELLING FOR ENERGY APPLICATIONS | 259 |
| Marcel Súri, Thomas Huld, Ewan D. Dunlop and Jaroslav Hofierka | |
| 1. Introduction | 259 |
| 2. Solar Radiation Modelling | 260 |
| 3. Spatially Distributed Solar Databases | 261 |
| 4. Solar Radiation Model r.sun and Terrain Parameters | 263 |
| 4.1 Elevation Above Sea Level | 264 |
| 4.2 Inclination and Aspect | 264 |
| 4.3 Shadowing | 265 |
| 5. PVGIS: Application of solar Radiation Model in an Assessment of Photovoltaic Power generation | 267 |
| 6. Conclusions | 269 |
| References | 270 |
| Referenced Web Sites | 272 |
| TECHNICAL NOTES | |
| CHAPTER 12. | |
| GRASS AND R - ADVANCED GIS AND STATISTICAL TOOLS FOR DEM ANALYSIS | 275 |
| Radoslav Bonk | |
| 1. Introduction | 275 |
| 2. Case Study | 276 |
| 3. Conclusions | 281 |
| References | 282 |
| Referenced Web Sites | 282 |
| CHAPTER 13. | |
| CALCULATION OF POTENTIAL DRAINAGE DENSITY INDEX (PDD) | 283 |
| 283 | |
| Endre Dobos | |
| 1. Introduction | 283 |
| 2. Derivation of the PDD Layer | 285 |
| 2.1 Input DEM | 285 |
| 2.2 Step 1. Flow Direction | 286 |
| 2.3 Step 2. Flow Accumulation/Contributing Area/Catchment Area | 286 |
| 2.4 Step 3. Drainage Network | 286 |
| 2.5 Step 4. Potential Drainage Density (PDD) | 288 |
| References | 290 |
| Appendix: An Arc/Info® AML file to derive a PDD layer from a filled | 290 |
| DEM | 290 |
| ABOUT THE AUTHORS | 297 |
| INDEX | 307 |