| Titre : | Contribution of spatial remote sensing and GIS to the preparation of a multipurpose cadastre (Municipality of Rouissat Ouargla) |
| Auteurs : | عبد الغفور حفيان, Auteur ; سمية عرامي, Directeur de thèse |
| Type de document : | partition musicale manuscrite |
| Editeur : | Biskra : Universite Mohamed Khider, 2023-2024 |
| Format : | 77 p. |
| Langues: | Français |
| Mots-clés: | Multipurpose cadaster, Satellite images, cadaster, Land use, Land parcels, Land cover, Geographic information systems (GIS), Remote sensing, Digital elevation model, Landsat. |
| Résumé : |
The presented study discusses the use of Geographic Information Systems (GIS) and remote sensing in the
preparation and management of multipurpose cadaster. The study utilized aerial and satellite imagery, statistical data, field visits, cadastral maps, and geological maps of the study area. The analysis focused on the land cover changes between 1984, , and 2023 using supervised and unsupervised classification techniques with satellite images. The vegetation cover index was also used to assess plant changes in the area. All the data were organized in a dedicated geographic database for the multipurpose cadaster of the studied area. It includes information such as owner's name, section number, parcel number, account number, location, property type, land use, soil type, area, legal status, number of floors, slope, agriculture type, building materials, and building condition. These data can be used for land management and informed decision-making. Overall, the study demonstrates that remote sensing and GIS are valuable tools for the comprehensive and effective preparation and management of multipurpose cadaster. |
| Note de contenu : |
I.introduction: 01 II.Problem Statement 01 Research questions: 02 Hypotheses 02 Chapter 01: Fundamentals and Preliminary Concepts 1Part 1: Terms and Definitions of Multipurpose Cadastral 04 1.1ORIGINS OF THE CADASTRE: 04 1.2. Evolution of the North American Cadastral Arrangements: 04 1.3. THE CADASTRE TODAY : 06 1.4. The Concept of the Multipurpose Cadastre: 06 1.4.1. the Cadastral Concept: 06 1.4.2. Multipurpose cadaster: 9 1.5. Classification of Cadastral System 10 1.5.1. The Tax Cadaster: 11 1.5.2. Real Cadaster: 1.5.3. Legal Cadaster: 1.5.4. Fiscal cadaster: 1.6. The need for an MPC: 11 1.7. Fundamental Components of a MPC: 13 1.7.1. Geodetic Framework 14 1.7.2. Base maps 14 1.7.3. The Cadastral layer 1.7.4. The Land Information Centre 1.7.5. Existing Government Authorities 15 1.8. MPC: User Requirements 15 1.8.1. Geo-Spatial Information Interests 1.8.2. Temporal Interests 1.9. BENEFITS OF THE MULTI-PURPOSE CADASTRE: 16 1.10. The legal framework: 18 Part 2: Remote Sensing and Geographic Information Systems 20 2.1. Basic Concepts in Remote Sensing 20 2.1.1. What is Remote Sensing? 20 2.1.2. Basic Principles in Remote Sensing: 20 2.1.3. Basis of remote sensing technique: 21 2.1.4. Components of Remote Sensing: 2.1.4.1. Electromagnetic Spectrum 2.1.4.2. Electromagnetic Interactions 2.1.4.3. Spectral response (Spectral Signatures) 22 2.1.4.4. Remote Sensing Platforms Systems 23 2.1.4.5. Remote Sensing Sensors 24 2.1.4.6. Satellite resolution 24 2.1.5. Examples of Remote sensing satellites 25 2.1.6. Remotely sensed image 27 2.1.7. Pixels 28 2.1.8. Characteristics of Remotely sensed images 28 2.1.9. Types of Remotely sensed images 29 2.1.10. Multispectral Image 30 2.2. Geographic Information Systems 30 2.2.1. Components of a GIS 31 2.2.2. How GIS Works 33 2.2.3. Applications of GIS: 35 2.2.4. Spatial analyse methodes: 36 Chapter 02: Materials and Methods 1.Materials and Methods: 40 1.1. The methodology 40 1.1.1. Data Collection: 41 1.1.2. Satellite Data: 41 1.1.3. Image date selection: 42 1.1.4. Preprocessing of satellite images: 42 1.1.4.1. Atmospheric correction: 42 1.1.4.2. Geometric correction: 42 1.1.4.3.Data Extraction: 43 1.1.5. Image classification: 44 1.1.5.1. Supervised Classification: 1.1.5.2. Unsupervised classification: 1.1.6. NDVI 1.1.7. The Digital Elevation Model (DEM): 1.1.8. Cadastral maps: 1.1.9. The survey data: 45 1.1.10. Creating a database: 45 2.2. Materials 46 2.2.1. Software used 2.2.1.1. ArcGIS: 2.2.1.2. Google Earth Pro: 2.2.1.3. Excel: Chapter 03: Study Area Descript 1. Presentation of the study area: 48 1.1. Geographical and Administrative Situation: 48 1.2. Climate: 48 1.2.1. Temperature: 50 1.2.2. Precipitation: 50 1.2.3. Winds: 51 1.3. Topography: 51 1.4. slope map : 52 1.5. The slope exposure map: 53 1.6. Geological study: 54 1.7. Soil map : 55 Chapter 04: Results and Discussion 1. Production of basic maps of the study area: 57 1.1. Valuation of classification accuracy in 1988: 57 1.2. . Valuation of classification accuracy in 2000: 2.Mapping and analyzing land cover states for each year from 1988 and 2024 using the maximum likelihood method: 2.1. Analysis of land cover states for 1984, , and 2024: 2.2. Land cover state in 1988: 58 Tables of contents 2.3. Land cover state in 2023: 58 2.3. Cadastral Data Results: 59 2.3.1. the multi-purpose cadastral plan: 59 3.Suggestions: 61 Conclusion: 62 Bibliographic References: 63 |
Exemplaires (1)
| Cote | Support | Localisation | Disponibilité |
|---|---|---|---|
| MM-ST/498 | Mémoire master | bibliotheque departement agronomie | disponible Disponible |
