Uso de sensores remotos y tecnología UAV para apoyar la identificación de la salinización del suelo en San Miguel de Sema, Boyacá, Colombia

Salinization is a process that affects the productive capacity of the soil, the task of identifying the state of the resource in this situation is beyond what is relevant to its objective. The particular description of soil salinization for the study area allows to theoretically outline the situation of soil salinization, the application of remote sensing by the generation of spectral indices of soil and vegetation derived from a spatial sensor Along with Field Sampling and the use of UAV air vehicle technology with no acronyms of its manned feet in English, an alternative support as conventional methods for identifying soil salinization in favor of its optimization. The present research proposes the use of contemporary tools and techniques of spatial analysis useful to support the identification of the salinization of the soil in order to make the baseline survey of the state of salinization in an area of the Hydraulic System of Environmental Management and Flood Control Fúquene - Cucunubá in the municipality of San Miguel de Sema, Boyacá. In the process of soil identification with salinization, a review of the literature and field observations was made, which determined that the specific components of those that most influence salinization for the study area, Land use such as intensive livestock farming, agriculture through the constant use of some herbicides, the high groundwater level, and the high percentage of exchangeable sodium as a chemical parameter alluding to salinization. To identify the salinization of the soil with the support of the remote sensors spectral indexes were classified that have a direct or indirect relationship with this process, cataloging their pixel values in the signal function of selection of salinization, this stability allowed the interpretation In which the zones of the place of study a probability of salinization is presented, in the end a map was generated that demonstrates the probability given a southwest with salinization, where it is evidenced that 4.13% of the area has high probability, 25.20% average probability, 43.02% Low probability and 27.65% Very low probability The zoning adjustment is on the map that is supported by the chemical parameters that have salinization references, which also allowed in the detail windows to establish the relationship of these registers with the ground cover, there was identified that there is no relationship Strictly Direct between EC (Electrical Conductivity) and pH with the ground cover identified on an orthophotomosaic produced from photographs of the aircraft captured by the UAV

• Autores: González Cubides, Angie Roxana; Otálora Cárdenas, Pablo César
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2017
• Institución: Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
• Repositorio: Repositorio Institucional UDCA
• Idioma: spa
• OAI Identifier: oai:repository.udca.edu.co:11158/683
• Acceso en línea: https://repository.udca.edu.co/handle/11158/683
• Palabra clave: Salinización de suelos; San Miguel de Sema (Boyacá); Sensores remotos; Composición de suelos; Química de suelos -- Sensores remotos; Composición de suelos -- Sensores remotos; Ingeniería geográfica y ambiental
• Rights: closedAccess
• License: Derechos Reservados - Universidad de Ciencias Aplicadas y Ambientales