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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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Code-barres Cote Support Localisation Section Disponibilité 15506-01 37.40 Livre Centre de documentation Géomatique Disponible Characterizing patterns of lands degradation potential and agro-ecological sustainability in Nang Rong, Thailand / W. Welsh in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)
[article]
Titre : Characterizing patterns of lands degradation potential and agro-ecological sustainability in Nang Rong, Thailand Type de document : Article/Communication Auteurs : W. Welsh, Auteur Année de publication : 2008 Article en page(s) : pp 765 - 773 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] caractérisation
[Termes IGN] développement durable
[Termes IGN] Eucalyptus (genre)
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] plantation forestière
[Termes IGN] revêtement
[Termes IGN] rizière
[Termes IGN] surface cultivée
[Termes IGN] ThaïlandeRésumé : (Auteur) Soil crop suitability data was used to characterize and evaluate land-use/land-cover (LULC) classifications derived from Landsat TM and MSS imagery for 1997, 1985, and 1972. Landsat spectral classifications were post-processed using GIS data into a time-series of pixels that were identified as having agricultural potential (not including household gardens within settlements), and then compared with soil suitability variables to characterize LULC patterns and assess the likelihood of potential for land degradation within the Nang Rong, Thailand study area. Results of this estimate indicate that for extensive areas of upland cash cropping, particularly in the case of cassava, a significant potential for land degradation and hence agro-ecological unsustainability exists. Lowland rain-fed rice cropping, the most areally extensive and temporally persistent form of agriculture, is revealed to be largely agro-ecologically sustainable. A trend in the Nang Rong region is towards planting fast growing eucalyptus trees, a non-native species known to be damaging to the soil and ecology, as a cash crop in both upland and lowland settings for pulpwood, construction framing, and biofuel feedstock, making future potential land degradation scenarios somewhat different than in the past and ongoing monitoring critical. Copyright ASPRS Numéro de notice : A2008-201 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.6.765 En ligne : https://doi.org/10.14358/PERS.74.6.765 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29196
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 6 (June 2008) . - pp 765 - 773[article]Developments in South & East Asia: Space image acquisition for geospatial intelligence / Gordon Petrie in Geoinformatics, vol 10 n° 3 (01/04/2007)
[article]
Titre : Developments in South & East Asia: Space image acquisition for geospatial intelligence Type de document : Article/Communication Auteurs : Gordon Petrie, Auteur Année de publication : 2007 Article en page(s) : pp 38 - 45 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] acquisition d'images
[Termes IGN] ALOS
[Termes IGN] CARTOSAT
[Termes IGN] CBERS
[Termes IGN] Chine
[Termes IGN] Corée du sud
[Termes IGN] image satellite
[Termes IGN] Inde
[Termes IGN] Japon
[Termes IGN] KOMPSAT
[Termes IGN] Malaisie
[Termes IGN] Panchromatic Remote Sensing Instrument for Stereo Mapping
[Termes IGN] ROCSAT
[Termes IGN] Taïwan
[Termes IGN] Thaïlande
[Termes IGN] THEOS
[Termes IGN] Tsinghua (microsatellite)Résumé : (Auteur) By far the biggest source of the data needed for geospatial intelligence purposes comes from the high resolution imagery acquired from spaceborne and airborne platforms. In the specific context of South and East Asia, where there are numerous concerns about national security and threats from neighbours, the primary source for this type of intelligence is spaceborne imagery. Indeed the defence and security agencies in the larger countries in this part of Asia have all been large consumers of the high-resolution space imagery provided, by commercial suppliers such as GeoEye, DigitalGlobe, SPOT Image and ImageSat International. However, recently, nearly all of these Asian countries have either acquired or they are creating their own national capabilities to acquire this type of imagery to overcome the actual or potential restrictions and the delays that occur with the supply of space imagery from sources out with their control. The situation has already been discussed in a preliminary manner in an article published in Geolnformatics by the present writer three years ago (in the March 2004 issue) as part of his world wide survey of high-resolution imaging from space. This new article will concentrate on the many new developments that have taken place in the region since then. Copyright GeoInformatics Numéro de notice : A2007-197 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28560
in Geoinformatics > vol 10 n° 3 (01/04/2007) . - pp 38 - 45[article]Classification of biodiversity in Doi Inthanon national parc / H. Draux (2007)
Titre : Classification of biodiversity in Doi Inthanon national parc Type de document : Mémoire Auteurs : H. Draux, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2007 Importance : 37 p. Format : 21 x 30 cm Note générale : Report of multi-field projet, cycle des ingénieurs diplômés de l'ENSG 2ème année (IT2) Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatiale
[Termes IGN] biodiversité
[Termes IGN] carte thématique
[Termes IGN] classification automatique
[Termes IGN] correction d'image
[Termes IGN] image Landsat
[Termes IGN] image SPOT 5
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Normalized Difference Water Index
[Termes IGN] parc naturel national
[Termes IGN] ThaïlandeIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) Ce document est le résultat d'un stage de trois mois effectué de Juin à Août 2007 au sein de la GISDTA à Bangkok (Thaïlande), dans le cadre de la seconde année du cycle d'Ingénieur de l'ENSG. Son objectif était de mieux comprendre la biodiversité existante dans le parc national "Doi Inthanon", en réalisant une classification de la zone à partir d'images satellites issues des capteurs des satellites de SPOT-5 et Landsat 5, ainsi que d'écrire un modèle capable de décrire les composantes des différentes classes. Note de contenu : Introduction
1. Inventory of the data
1. Satellite images
2. Data collected into the field
3. Thai forests
3.1. Characteristics
3.2. Distribution
2. Data processing
1. SPOT-5
2. LANDSAT 5
2.1. Geo-referencing
2.2. Model maker
3. Classifications
3.1. Manual classification
3.1.a. Segmentation
3.1.b. Choices
3.2. Automatic classification
3.2.a. Result
3.2.b. Comparison between the visual classification and the model
3. Interpretations
1. Indexes
1.1. Normalized Difference Vegetation Index (NDVI)
1.2. Temperature
1.3. Water Index
1.4. Model
2. Biodiversity
3. Propositions to improve the model
ConclusionNuméro de notice : 19125 Affiliation des auteurs : IGN (1940-2011) Thématique : BIODIVERSITE/IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Geo-Informatics and Space Technology Development Agency (Thailande) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=51064 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 19125-01 PROJET Livre Centre de documentation Travaux d'élèves Disponible 19125-02 PROJET Livre Centre de documentation Travaux d'élèves Disponible Assessment of the processed SRTM-based elevation data by CGIAR using field from USA and Thailand and its relation to the terrain characteristics / Y. Gorokhovich in Remote sensing of environment, vol 104 n° 4 (30/10/2006)
[article]
Titre : Assessment of the processed SRTM-based elevation data by CGIAR using field from USA and Thailand and its relation to the terrain characteristics Type de document : Article/Communication Auteurs : Y. Gorokhovich, Auteur ; A. Voustianiouk, Auteur Année de publication : 2006 Article en page(s) : pp 409 - 415 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de données
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] New York (Etats-Unis ; état)
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] réalité de terrain
[Termes IGN] régression multiple
[Termes IGN] ThaïlandeRésumé : (Auteur) Shuttle radar topographic mission (SRTM) has created an unparalleled data set of global elevations that is freely available for modeling and environmental applications. The global availability (almost 80% of the Earth surface) of SRTM data provides baseline information for many types of the worldwide research. The processed SRTM 90 m digital elevation model (DEM) for the entire globe was compiled by Consultative Group for International Agriculture Research Consortium for Spatial Information (CGIAR-CSI) and made available to the public via internet mapping interface. This product presents a great value for scientists dealing with terrain analysis, thanks to its easy download procedure and ready-to-use format. However, overall assessment of the accuracy of this product requires additional regional studies involving ground truth control and accuracy verification methods with higher level of precision, such as the global positioning system (GPS).
The study presented in this paper is based on two independent datasets collected with the same GPS system in Catskill Mountains (New York, USA) and Phuket (Thailand). Both datasets were corrected with differential base station data. Statistical analysis included estimation of absolute errors and multiple regression analysis with slope and aspect variables. Data were analyzed for each location separately and in combination. Differences in terrain and geographical location allowed independent interpretation of results.
The results of this study showed that absolute average vertical errors from CGIAR dataset can range from 7.58 1 0.60 m in Phuket to 4.07 1 0.47 m in Catskills (mean 1 S.E.M.). This is significantly better than a standard SRTM accuracy value indicated in its specification (i.e. 16 m). The error values have strong correlation with slope and certain aspect values. Taking into account slope and aspect considerably improved the accuracy of the CGIAR DEM product for terrain with slope values greater than 10°; however, for the terrain with slope values less than 10°, this improvement was found to be negligible. Copyright ElsevierNuméro de notice : A2006-495 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.05.012 En ligne : https://doi.org/10.1016/j.rse.2006.05.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28219
in Remote sensing of environment > vol 104 n° 4 (30/10/2006) . - pp 409 - 415[article]Monitoring surface soil moisture in post-harvest rice areas using C-band radar imagery in NorthEast Thailand / S. Kaojarern in Geocarto international, vol 19 n° 3 (September - November 2004)PermalinkL'information géographique, guide simplifié de l'exportateur dans quinze pays cibles / Association française pour l'information géographique (2001)PermalinkUsing auxiliary information to adjust fuzzy membership functions for improved mapping of soil qualities / T. Oberthur in International journal of geographical information science IJGIS, vol 14 n° 5 (july 2000)PermalinkFrom rubble to virtual reality: photogrammetry and the virtual world of ancient Ayutthaya, Thaïlande: paper read at a technical meeting of the photogrammetric society on 11th January, 1999 / C.L. Ogleby in Photogrammetric record, vol 16 n° 94 (October 1999 - March 2000)PermalinkMéthodologies de recherche et d'analyse des voies anciennes par la télédétection dans la partie méridionale du nord-est de la Thaïlande / S. Ittaratana (1998)PermalinkMékong-6 à l'horizon 2020, une vision prospective de l'évolution des six pays du Mékong au regard du développement et de l'aménagement du territoire / Groupe d'etudes ressources prospective amenagement (1996)PermalinkApplication de systèmes d'informations géographiques à l'élaboration d'un schéma directeur / S. Dontree (1994)PermalinkContribution de la télédétection spatiale à la caractérisation des systèmes de production agricole en Thaïlande du sud (provinces de Phatthalung et Songkhla) / N. Panapitukkul (1994)PermalinkSystème à base de connaissances pour la cartographie thématique par télédétection / Nittaya Nintarakit (1993)PermalinkExploitation d'images de Spot et Landsat TM / S. Silapacharanan (1992)Permalink