Knowledge Resource Center for Ecological Environment in Arid Area
| A GIS and remote sensing protocol for the extraction and definition of Interrill and Rill erosion types/intensities over a large area of Iran | |
| Saadat;Hossein | |
| 出版年 | 2010 |
| 学位授予单位 | McGill University |
| 英文摘要 | Soil erosion is a complex, natural process that often is accelerated by such human activities as land clearance, agriculture, construction, and surface mining. Accurate soil erosion type/intensity maps can be effective tools in aid of soil erosion control efforts. The principal objective of this research was to use geographic information system (GIS) and remotely sensed data to extract and define erosion types/intensities over a large area (4,511.8 km2) in Iran. The study proceeded in three major steps: (i) a 10-m resolution digital elevation model (DEM), land slope, elevation range, and stream network pattern were created. These basic identifying parameters plus Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images were used to differentiate various landforms, (ii) a land use and land cover map was created based on analysis of three Landsat Enhanced Thematic Mapper (ETM+) images from the growing season plus use of a landform map and climatic zones as ancillary information, and (iii) in order to extract and identify various erosion types/intensities, the difference in brightness combination over two growing season intervals derived from the Landsat ETM+ images were used. Further, land slope, landform, land use, and land cover layers were used to assist in the classification of the erosion types (interrill and rill). The approach presented produced soil erosion type/intensity maps with an overall accuracy of 93.4%. Considering only rangeland and forest a unique relationship exists between seasonal brightness combinations and erosion intensity. It was found that for the lower erosion levels it is the later season or second brightness combination (BJS) which indicates degree of erosion intensity, but for the areas of severe and very severe erosion it is the early season or first brightness combination (BMJ) that differentiates degree of erosion intensity. Further, this study illustrated that land use, land cover, landform, and land slope layers can be used for differentiating erosion types. The approach presented has been shown to be an effective tool for the creation of soil erosion maps over a large area of Iran and is expected to be useful for aiding in the development of soil conservation and watershed management plans in other areas. The main advantages of this approach are accuracy, lower demands on time and funds for field work and ready availability of required data for many regions of the world. Processus naturel complexe, l'érosion du sol est fréquemment exacerbée par les activités anthropiques telles le défrichage, l'agriculture, la construction, et l'exploitation minière à ciel ouvert. Une cartographie précise du type et de l'intensité d'érosion du sol peut s'avérer un outil efficace dans une lutte contre l'érosion. Les présentes recherches visèrent l'utilisation de SIG et de données de télédétection dans la localisation et l'identification de divers types d'érosion sur une aire de grande étendue (4,511.8 km2) en Iran. L'étude s'échelonna sur trois étapes: (i) un modèle altimétrique numérique (MAN) d'une résolution de 10 m servit à créer des plans de pente du terrain, d'altitude, et du tracé hydrographique. Différentes formes de relief furent différenciés grâce à ces paramètres identificateurs et à des images provenant de radiomètre spatial de pointe pour l'étude de la réflectance et des émissions thermiques terrestres (ASTER), (ii) une carte d'affectation et de couvert du sol fut tracée selon l'analyse de trois images Landsat ETM+ prises durant la saison de croissance ainsi que des informations supplémentaires tirés de cartes de relief et de zones climatiques, et (iii) la différence dans la combinaison de brillances provenant d'images Landsat ETM+, lors de deux intervalles de la saison de croissance, servit à extraire et identifier les différents types et intensités d'érosion. Les plans de pente du terrain, de relief, ainsi que ceux d'affectation et couvert du sol, appuyère |
| 英文关键词 | Earth Sciences - Remote Sensing |
| 语种 | 法语 |
| URL | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86813 |
| 来源机构 | McGill University |
| 资源类型 | 学位论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/245301 |
| 推荐引用方式 GB/T 7714 | Saadat;Hossein. A GIS and remote sensing protocol for the extraction and definition of Interrill and Rill erosion types/intensities over a large area of Iran[D]. McGill University,2010. |
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