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Titre : Effects of geographic information quality on soil erosion prediction Type de document : Thèse/HDR Auteurs : Karika Kunta, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2009 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 103 Importance : 153 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-84-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse de sensibilité
[Termes IGN] ArcGIS
[Termes IGN] érosion
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] métadonnées
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle physique
[Termes IGN] modèle RUSLE
[Termes IGN] montagne
[Termes IGN] partage de données localisées
[Termes IGN] pente
[Termes IGN] prédiction
[Termes IGN] qualité des données
[Termes IGN] ruissellement
[Termes IGN] Suisse
[Termes IGN] système d'information géographique
[Termes IGN] Thaïlande
[Termes IGN] VBARésumé : (Auteur) (Auteur) Soil erosion is one of the most serious problems in the mountainous areas. Geographic Information Systems (GIS) are widely applied to predict soil erosion, as all factors on soil erosion can be extracted by spatial analysis. Therefore, the quality of spatial data plays a great role on the prediction and the most appropriated data should be used for input data to the model.
The purpose of this study is to evaluate the sensitivity of GIS data quality for the Revised Universal Soil Loss Equation (RUSLE) model. Different quality of GIS data input for two catchments in Switzerland and a catchment in Thailand are applied to the calculation. A programmed Visual Basic Application (VBA) extension on ArcGIS 9.2 and the geostatistics analysis are used for the calculation.
Moreover, the study aims to improve the soil erosion prediction, experienced from the study, using GIS technology. In order to achieve the aim, the study recommends, different methods : the use of GIS database of different soil-scales, the soil GIS data sharing, the Web-based GIS soil data and the soil erosion metadata model.
From the study, the developed algorithm (VBA application) is implemented on ArcGIS 9.2 Interface and has shown to be a good tool for the RUSLE model in the study areas. The results of the study present that in the heterogeneous slope area, the finer Digital Elevation Model (DEM) yields more accurate the soil erosion values. In contrast, in the flatter area, coarse DEM derives similar results to the finer ones. The finer OEMs are expensive, therefore it should be used as necessary.
Also, the channelization results using different methods, which combine DEM and a Vector River Network (VRN), are completed. The results show that the VRN is very effective to identify the channels starting points. The study highly recommends to combine the VRN with the DEM for channelization in all cases.
Furthermore, the soil erosion metadata model is established conforming to the ISO 19115. It is found that the basic GIS data (DEM, Vector River Network, etc.) can apply to ISO 19115, but specific metadata (soil types, cropping types, etc.) is needed to identify the particular data. Altogether, the GIS data transfer, the interoperability in GIS, a unique standard for soil classifications, Spatial Data Infrastructures (SDI) and the soil erosion metadata model should be completed for all soil data in order to share all data from different sources or organizations. The methodologies will support all users to access the most appropriate GIS data and then obtain the more accurate soil erosion.Note de contenu : Chapter 1 Introduction
1.1 Background
1.2 Motivation and problem statement of thesis
1.3 Objectives
1.4 Structure of the thesis
1.5 Basic definitions
Chapter 2 Soil Erosion
2.1 Soil Erosion .
2.1.1 Soil Erosion Types
2.1.2 Principal soil erosion factors
2.2 Soil erosion models
2.2.1 Universal Soil Loss Equation (USLE) model
2.2.2 Revised Soil Loss Equation (RUSLE)
Chapter 3 Geographic Information System and Soil Erosion
3.1 Geographic information system and soil erosion .
3.1.1 Applications of GIS on soil erosion
3.1.2 Development of data model in ArcGIS
3.1.3 ArcObjects in ArcGIS and soil erosion
3.1.4 Geographic Resources Analysis Support System with soil erosion
3.1.5 Slope Length factor calculation with VBA
3.2 Soil GIS data sharing .
3.2.1 Spatial Data Infrastructure .
3.2.2 Interoperability in GIS and standards
3.3 Metadata on soil erosion
3.3.1 Development of metadata for National Spatial Data Infrastructure in Thailand
3.3.2 Metadata on soil erosion and soil data in Europe
3.3.3 Metadata standards
Chapter 4 GIS Application for Soil Erosion Model
4.1 GIS application on soil erosion
4.1.1 Slope Length Calculation
4.1.2 Overall Slope Length calculation process .
4.1.3 Iteration of accumulative Slope Length .
4.1.4 Channelization .
4.1.5 Conclusion of the calculation
4.2 Study areas
4.2.1 Introduction
4.2.2 Study Areas in Switzerland
4.2.3 Study area in Thailand
4.3 Application results and discussions
4.3.1 Results in study areas of Switzerland
4.3.2 Results in the Study Area of Chiang Rai province, Thailand
4.3.3 The comparison of results in Thailand and Switzerland
4.4 Conclusion
Chapter 5 GIS Data Quality and Soil Erosion
5.1 Different quality of GIS soil database
5.1.1 World Soils and Terrain Digital Database
5.1.2 The Australian Soil Resource Information System
5.1.3 Thailand soil information system
5.2 Soil GIS data sharing: Thai example
5.2.1 Interoperability in GIS in Thailand
5.3 Web-based GIS soil data
5.3.1 Water Erosion Prediction Project-Climate Assessment Tool
5.3.2 Mapping services in the european soil portal .
Chapter 6 Metadata on Soil and Soil Erosion
6.1 Data model of soil erosion
6.1.1 GIS data model for RUSLE
6.1.2 Required Data for RUSLE
6.2 Soil erosion metadata model
6.2.1 Soil erosion Required Metadata model
6.2.2 ISO 19115 conformity
6.3 Conclusion
Chapter 7 Conclusion and Discussion
7.1 Summary of results
7.2 Outlooks
References
Vita .
AcknowledgementsNuméro de notice : 15506 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère En ligne : http://dx.doi.org/10.3929/ethz-a-005810385 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62739 Réservation
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