Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina

ilustraciones, diagramas, mapas, tablas

Autores:
Páez Lugo, Eliana Alejandra
Tipo de recurso:
Fecha de publicación:
2024
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/86537
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/86537
https://repositorio.unal.edu.co/
Palabra clave:
630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
INFILTRACION DEL SUELO
USO DE LA TIERRA
HIDROLOGIA-MODELOS MATEMATICOS
Soil infiltration
Land use
Hidrology - mathematical models
Sensoramiento remoto
Propiedades físicas del suelo
Hidrodinámica del suelo
Modelo de elevación digital
Cobertura y uso del suelo
Modelación espacial
Análisis de impactos
Remote sensing
Soil physical properties
Soil hydrodynamics
Digital elevation model
Land cover and use
Spatial modeling
Impact analysis
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_5ab75d5cd225ca1bd1a3df26bf31cba4
oai_identifier_str oai:repositorio.unal.edu.co:unal/86537
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
dc.title.translated.eng.fl_str_mv Prediction of soil infiltration through the integration of remote sensors and spatial inference in an Andean micro-watershed
title Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
spellingShingle Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
INFILTRACION DEL SUELO
USO DE LA TIERRA
HIDROLOGIA-MODELOS MATEMATICOS
Soil infiltration
Land use
Hidrology - mathematical models
Sensoramiento remoto
Propiedades físicas del suelo
Hidrodinámica del suelo
Modelo de elevación digital
Cobertura y uso del suelo
Modelación espacial
Análisis de impactos
Remote sensing
Soil physical properties
Soil hydrodynamics
Digital elevation model
Land cover and use
Spatial modeling
Impact analysis
title_short Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
title_full Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
title_fullStr Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
title_full_unstemmed Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
title_sort Predicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andina
dc.creator.fl_str_mv Páez Lugo, Eliana Alejandra
dc.contributor.advisor.none.fl_str_mv Darghan Contreras, Aquiles Enrique
Leal Villamil, Julián
dc.contributor.author.none.fl_str_mv Páez Lugo, Eliana Alejandra
dc.contributor.orcid.spa.fl_str_mv Paez Lugo, Eliana Alejandra [0009-0009-6435-1049]
dc.subject.ddc.spa.fl_str_mv 630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
topic 630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materiales
INFILTRACION DEL SUELO
USO DE LA TIERRA
HIDROLOGIA-MODELOS MATEMATICOS
Soil infiltration
Land use
Hidrology - mathematical models
Sensoramiento remoto
Propiedades físicas del suelo
Hidrodinámica del suelo
Modelo de elevación digital
Cobertura y uso del suelo
Modelación espacial
Análisis de impactos
Remote sensing
Soil physical properties
Soil hydrodynamics
Digital elevation model
Land cover and use
Spatial modeling
Impact analysis
dc.subject.lemb.spa.fl_str_mv INFILTRACION DEL SUELO
USO DE LA TIERRA
HIDROLOGIA-MODELOS MATEMATICOS
dc.subject.lemb.eng.fl_str_mv Soil infiltration
Land use
Hidrology - mathematical models
dc.subject.proposal.spa.fl_str_mv Sensoramiento remoto
Propiedades físicas del suelo
Hidrodinámica del suelo
Modelo de elevación digital
Cobertura y uso del suelo
Modelación espacial
Análisis de impactos
dc.subject.proposal.eng.fl_str_mv Remote sensing
Soil physical properties
Soil hydrodynamics
Digital elevation model
Land cover and use
Spatial modeling
Impact analysis
description ilustraciones, diagramas, mapas, tablas
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-07-17T18:36:20Z
dc.date.available.none.fl_str_mv 2024-07-17T18:36:20Z
dc.date.issued.none.fl_str_mv 2024
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/86537
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/86537
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Darghan Contreras, Aquiles Enrique47b75e73e4fb74030d670c282e8637d0Leal Villamil, Julián87dc436ececd4dcda67785c5f1f486c1Páez Lugo, Eliana Alejandrafb39d577bdeaf840431e7e6880641117Paez Lugo, Eliana Alejandra [0009-0009-6435-1049]2024-07-17T18:36:20Z2024-07-17T18:36:20Z2024https://repositorio.unal.edu.co/handle/unal/86537Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramas, mapas, tablasLa infiltración es el proceso de entrada del agua al suelo, su estimación es importante tanto para hacer un eficiente uso del recurso hídrico en cultivos, como para efectos de los modelos hidrológicos. Debido a su complejidad metodológica y espacial, se han desarrollado diversos modelos para su estimación; sin embargo, la idoneidad y ajuste de estos a las condiciones particulares de cada suelo generalmente no resulta simple, conllevando a la necesidad de disminuir su incertidumbre para obtener resultados más consistentes. Esta investigación desarrolló un modelo espacial para estimar la tasa de infiltración básica empleando índices de humedad y vegetación provenientes de imágenes Sentinel- 1, atributos del terreno obtenidos del modelo digital de elevación ALOS PALSAR y algunas propiedades del suelo. Los resultados demostraron que el modelo autorregresivo espacial con errores autorregresivos permitió modelar espacialmente la infiltración base, donde el ajuste de los valores observados y estimados presentaron un coeficiente de correlación de 0.98. Se evidenció una relación estadística significativa entre los índices de radar y la infiltración base en los suelos y se confirmó la incidencia de la elevación y algunas de las propiedades físicas del suelo en la estimación de la infiltración base, esta relación se entiende también como el impacto que tienen dichas variables en el cálculo de la infiltración, allí se encontró que todas las variables tuvieron impacto positivo, particularmente el índice de humedad y la elevación tuvieron el mayor impacto y el porcentaje de arenas el menor (texto tomado de la fuente).Infiltration is the process of entry of water into the soil, its estimation is important both for an efficient use of the water resource in crops, and for the effects of hydrological models. Due to its methodological and spatial complexity, various models have been developed for its estimation; however, the suitability and adjustment of these to the particular conditions of each soil is generally not simple, leading to the need to reduce their uncertainty to obtain more consistent results. This research developed a spatial model to estimate the steady-state infiltration rate using moisture and vegetation indices from Sentinel-1 images, terrain attributes obtained from the ALOS PALSAR digital elevation model and some soil properties. The results showed that the spatial autoregressive model with autoregressive errors allowed to spatially model the base infiltration, where the adjustment of the observed and estimated values presented a Pearson correlation coefficient of 0.98. A significant statistical relationship between radar indices and steady-state infiltration rate in soils was evidenced and the incidence of elevation and some of the physical properties of the soil in the estimation of base infiltration was confirmed, this relationship is also understood as the impact that these variables have on the calculation of infiltration, it was found that all variables had a positive impact, particularly the humidity index and elevation had the greatest impact and the percentage of sand the least.MaestríaMagister en GeomáticaTecnologías Geoespaciales118 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ciencias Agrarias - Maestría en GeomáticaFacultad de Ciencias AgrariasBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá630 - Agricultura y tecnologías relacionadas::631 - Técnicas específicas, aparatos, equipos, materialesINFILTRACION DEL SUELOUSO DE LA TIERRAHIDROLOGIA-MODELOS MATEMATICOSSoil infiltrationLand useHidrology - mathematical modelsSensoramiento remotoPropiedades físicas del sueloHidrodinámica del sueloModelo de elevación digitalCobertura y uso del sueloModelación espacialAnálisis de impactosRemote sensingSoil physical propertiesSoil hydrodynamicsDigital elevation modelLand cover and useSpatial modelingImpact analysisPredicción de la infiltración en el suelo mediante la integración de sensores remotos e inferencia espacial en una microcuenca andinaPrediction of soil infiltration through the integration of remote sensors and spatial inference in an Andean micro-watershedTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAchouri, M., y Gifford, G. 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GIS-based digital modeling of soil infiltration in calcareous soils. Communications in Soil Science and Plant Analysis, 1590–1601. https://doi.org/10.1080/00103624.2020.1791153EstudiantesInvestigadoresPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/86537/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1016087397.2024.pdf1016087397.2024.pdfTesis de Maestría en Geomáticaapplication/pdf5277256https://repositorio.unal.edu.co/bitstream/unal/86537/2/1016087397.2024.pdf9e03e3f296b70c0016bc39311dff37c4MD52THUMBNAIL1016087397.2024.pdf.jpg1016087397.2024.pdf.jpgGenerated Thumbnailimage/jpeg4958https://repositorio.unal.edu.co/bitstream/unal/86537/3/1016087397.2024.pdf.jpg4159a8b1b4701c386bdd17c9bd436fdfMD53unal/86537oai:repositorio.unal.edu.co:unal/865372024-08-26 23:11:03.598Repositorio Institucional Universidad Nacional de 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