Soil Erosion Assessment and Its Verification Using the Universal Soil Loss Equation and Geographic Information System: A Case Study at Boun, Korea. Lee, S. 45(4):457–465.
Soil Erosion Assessment and Its Verification Using the Universal Soil Loss Equation and Geographic Information System: A Case Study at Boun, Korea [link]Paper  doi  abstract   bibtex   
This study is aimed at the evaluation of the hazard of soil erosion and its verification at Boun, Korea, using a Geographic Information System (GIS) and remote sensing. Precipitation, topographic, soil, and land use data were collected, processed, and constructed into a spatial database using GIS and remote sensing data. Areas that had suffered soil erosion were analysed and mapped using the Universal Soil Loss Equation (USLE). The factors that influence soil erosion are rainfall erosivitiy (R) from the precipitation database, soil erodibility (K) from the soil database, slope length and steepness (LS) from the topographic database, and crop and management (C) and conservation supporting practices (P) from the land use database. Land use was classified from Landsat Thematic Mapper satellite images. The soil erosion map verified use of the landslide location data. Landslide locations were identified in the Boun area from interpretation of aerial photographs and field surveys.
@article{leeSoilErosionAssessment2004,
  title = {Soil Erosion Assessment and Its Verification Using the {{Universal Soil Loss Equation}} and Geographic Information System: A Case Study at {{Boun}}, {{Korea}}},
  author = {Lee, Saro},
  date = {2004},
  volume = {45},
  pages = {457--465},
  doi = {10.1007/s00254-003-0897-8},
  url = {https://doi.org/10.1007/s00254-003-0897-8},
  abstract = {This study is aimed at the evaluation of the hazard of soil erosion and its verification at Boun, Korea, using a Geographic Information System (GIS) and remote sensing. Precipitation, topographic, soil, and land use data were collected, processed, and constructed into a spatial database using GIS and remote sensing data. Areas that had suffered soil erosion were analysed and mapped using the Universal Soil Loss Equation (USLE). The factors that influence soil erosion are rainfall erosivitiy (R) from the precipitation database, soil erodibility (K) from the soil database, slope length and steepness (LS) from the topographic database, and crop and management (C) and conservation supporting practices (P) from the land use database. Land use was classified from Landsat Thematic Mapper satellite images. The soil erosion map verified use of the landslide location data. Landslide locations were identified in the Boun area from interpretation of aerial photographs and field surveys.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13827836,geospatial,gis,landslides,remote-sensing,rusle,soil-erosion,soil-resources,usle},
  number = {4}
}

Downloads: 0