Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos

Los humedales son algunos de los ecosistemas más importantes de la tierra y han sido señala- dos como soluciones naturales a la crisis mundial del agua. Por esta razón su monitoreo es necesario, y para esta tarea los datos de sensores remotos han sido ampliamente usados. Sin embargo, estos ecosistem...

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Rico Cabrera, Ronald
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Fecha de publicación:
2021
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Universidad Nacional de Colombia
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Universidad Nacional de Colombia
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spa
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https://repositorio.unal.edu.co/handle/unal/81319
https://repositorio.unal.edu.co/
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680 - Manufactura para usos específicos::681 - Instrumentos de precisión y otros dispositivos
Radar de Apertura Sintética
Mecanismos de dispersión
Descomposición Polarimétrica
Bosques aleatorios
Synthetic Aperture Radar
Scattering Mechanisms
Polarimetric Decomposition
Random Forests
Instrumento de medida
Measuring instruments
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Atribución-NoComercial-SinDerivadas 4.0 Internacional
id UNACIONAL2_7358de09a8bf91c5222a6692f74fd4b2
oai_identifier_str oai:repositorio.unal.edu.co:unal/81319
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
dc.title.translated.eng.fl_str_mv Land cover mapping in the Ciénaga Grande de Santa Marta wetland using polarimetric synthetic aperture radar data
title Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
spellingShingle Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
680 - Manufactura para usos específicos::681 - Instrumentos de precisión y otros dispositivos
Radar de Apertura Sintética
Mecanismos de dispersión
Descomposición Polarimétrica
Bosques aleatorios
Synthetic Aperture Radar
Scattering Mechanisms
Polarimetric Decomposition
Random Forests
Instrumento de medida
Measuring instruments
title_short Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
title_full Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
title_fullStr Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
title_full_unstemmed Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
title_sort Mapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricos
dc.creator.fl_str_mv Rico Cabrera, Ronald
dc.contributor.advisor.none.fl_str_mv Lizarazo Salcedo, Iván
dc.contributor.author.none.fl_str_mv Rico Cabrera, Ronald
dc.subject.ddc.spa.fl_str_mv 680 - Manufactura para usos específicos::681 - Instrumentos de precisión y otros dispositivos
topic 680 - Manufactura para usos específicos::681 - Instrumentos de precisión y otros dispositivos
Radar de Apertura Sintética
Mecanismos de dispersión
Descomposición Polarimétrica
Bosques aleatorios
Synthetic Aperture Radar
Scattering Mechanisms
Polarimetric Decomposition
Random Forests
Instrumento de medida
Measuring instruments
dc.subject.proposal.spa.fl_str_mv Radar de Apertura Sintética
Mecanismos de dispersión
Descomposición Polarimétrica
Bosques aleatorios
dc.subject.proposal.eng.fl_str_mv Synthetic Aperture Radar
Scattering Mechanisms
Polarimetric Decomposition
Random Forests
dc.subject.unesco.none.fl_str_mv Instrumento de medida
Measuring instruments
description Los humedales son algunos de los ecosistemas más importantes de la tierra y han sido señala- dos como soluciones naturales a la crisis mundial del agua. Por esta razón su monitoreo es necesario, y para esta tarea los datos de sensores remotos han sido ampliamente usados. Sin embargo, estos ecosistemas son difıciles de mapear y clasificar debido a su alto grado de variabilidad espacial y temporal, por lo que persisten incertidumbres. El objetivo de ésta investigación fue evaluar el potencial de técnicas de descomposicion polarimetrica de datos de radar de apertura sintética (SAR) de banda L en la extraccion de informacion tematica en el humedal Ciénaga Grande de Santa Marta. Para completarlo primero se obtuvieron des- criptores polarimétricos mediante las técnicas de descomposición Cloude-Pottier (CP), Touzi (TZ), Van Zyl (VZ) y Freeman-Durden (FD), que se usaron en un esquema de clasificación supervisada con el algoritmo Bosques Aleatorios (BA). Luego se analizaron los resultados de la evaluación de exactitud temática de las clasificaciones para estimar la contribución de los descriptores polarimétricos. Los resultados mostraron que, evaluadas individualmente, las descomposiciones basadas en el análisis de valores y vectores caracterı́sticos CP, TZ y VZ aventajaron a la descomposición basada en modelos de dispersión, FD. Finalmente, el escenario de clasificación polarimétrica alcanzó una exactitud global de 92.82 %, frente al 89.19 % del escenario no polarimétrico donde solo se usaron datos ópticos y intensidades lineales HH, HV y VV, sugiriendo que los descriptores polarimétricos aportan información adicional relevante para la discriminación de las coberturas del humedal. (Texto tomado de la fuente)
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-12
dc.date.accessioned.none.fl_str_mv 2022-03-22T19:39:02Z
dc.date.available.none.fl_str_mv 2022-03-22T19:39:02Z
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/81319
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/81319
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-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lizarazo Salcedo, Ivána821b494af5e84e5da6d5b71608c7218Rico Cabrera, Ronaldc991a62ee57491fee16274e204fcdcac2022-03-22T19:39:02Z2022-03-22T19:39:02Z2021-12https://repositorio.unal.edu.co/handle/unal/81319Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Los humedales son algunos de los ecosistemas más importantes de la tierra y han sido señala- dos como soluciones naturales a la crisis mundial del agua. Por esta razón su monitoreo es necesario, y para esta tarea los datos de sensores remotos han sido ampliamente usados. Sin embargo, estos ecosistemas son difıciles de mapear y clasificar debido a su alto grado de variabilidad espacial y temporal, por lo que persisten incertidumbres. El objetivo de ésta investigación fue evaluar el potencial de técnicas de descomposicion polarimetrica de datos de radar de apertura sintética (SAR) de banda L en la extraccion de informacion tematica en el humedal Ciénaga Grande de Santa Marta. Para completarlo primero se obtuvieron des- criptores polarimétricos mediante las técnicas de descomposición Cloude-Pottier (CP), Touzi (TZ), Van Zyl (VZ) y Freeman-Durden (FD), que se usaron en un esquema de clasificación supervisada con el algoritmo Bosques Aleatorios (BA). Luego se analizaron los resultados de la evaluación de exactitud temática de las clasificaciones para estimar la contribución de los descriptores polarimétricos. Los resultados mostraron que, evaluadas individualmente, las descomposiciones basadas en el análisis de valores y vectores caracterı́sticos CP, TZ y VZ aventajaron a la descomposición basada en modelos de dispersión, FD. Finalmente, el escenario de clasificación polarimétrica alcanzó una exactitud global de 92.82 %, frente al 89.19 % del escenario no polarimétrico donde solo se usaron datos ópticos y intensidades lineales HH, HV y VV, sugiriendo que los descriptores polarimétricos aportan información adicional relevante para la discriminación de las coberturas del humedal. (Texto tomado de la fuente)Wetlands are some of the most important ecosystems on earth and have been identified as natural solutions to the global water crisis. For this reason their monitoring is necessary, and for this task remote sensing data have been widely used. However, these ecosystems are difficult to map and classify due to their high degree of spatial and temporal variability, and uncertainties persist. The objective of this research was to evaluate the potential of polarimetric decomposition techniques of L-band synthetic aperture radar (SAR) data in the extraction of thematic information in the Ciénaga Grande de Santa Marta wetland. To complete it, polarimetric descriptors were first obtained using Cloude-Pottier (CP), Touzi (TZ), Van Zyl (VZ) and Freeman-Durden (FD) decomposition techniques, which were used in a supervised classification scheme with the Random Forests (BA) algorithm. The results of the thematic accuracy assessment of the classifications were then analyzed to estimate the contribution of the polarimetric descriptors. The results showed that, evaluated individually, the decompositions based on CP, TZ and VZ characteristic values and vectors analysis outperformed the decomposition based on dispersion models, FD. Finally, the polarimetric classification scenario achieved an overall accuracy of 92.82 %, compared to 89.19 % for the non-polarimetric scenario where only optical data and linear intensities HH, HV and VV were used, suggesting that polarimetric descriptors provide additional relevant information for wetland cover discrimination.MaestríaMagíster en GeomáticaGeoinformación para el uso sostenible de los recursos naturalesxvi, 106 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ciencias Agrarias - Maestría en GeomáticaEscuela de posgradosFacultad de Ciencias AgrariasBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá680 - Manufactura para usos específicos::681 - Instrumentos de precisión y otros dispositivosRadar de Apertura SintéticaMecanismos de dispersiónDescomposición PolarimétricaBosques aleatoriosSynthetic Aperture RadarScattering MechanismsPolarimetric DecompositionRandom ForestsInstrumento de medidaMeasuring instrumentsMapeo de coberturas en el humedal Ciénaga Grande de Santa Marta usando datos de radar de apertura sintética polarimétricosLand cover mapping in the Ciénaga Grande de Santa Marta wetland using polarimetric synthetic aperture radar dataTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAbdel-Hamid, A., Dubovyk, O., Abou El-Magd, I., and Menz, G. 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PhD Thesis, Université Paris Sud - Paris XI,.ORIGINALTesisMaestria.pdfTesisMaestria.pdfTesis de Maestría en Geomáticaapplication/pdf34780038https://repositorio.unal.edu.co/bitstream/unal/81319/3/TesisMaestria.pdf86da2c817303c94fba67b071613fb7a4MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-84074https://repositorio.unal.edu.co/bitstream/unal/81319/4/license.txt8153f7789df02f0a4c9e079953658ab2MD54THUMBNAILTesisMaestria.pdf.jpgTesisMaestria.pdf.jpgGenerated Thumbnailimage/jpeg4686https://repositorio.unal.edu.co/bitstream/unal/81319/5/TesisMaestria.pdf.jpgfba7e021d19a131c3011be77c45e465bMD55unal/81319oai:repositorio.unal.edu.co:unal/813192023-08-03 23:03:37.553Repositorio Institucional Universidad Nacional de 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