SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)

Detalhes bibliográficos
Autor(a) principal: Ferrelli, Federico
Data de Publicação: 2020
Outros Autores: Soledad Brendel, Andrea, Miguel Eduardo Perillo, Gerardo, Cintia Piccolo, María
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54051
Resumo: The study of regional-scale land covers is an expensive activity that requires specific equipment. This work aimed to analyze the precision and the accuracy between satellite products and a land cover map obtained using in situ measurements in the Sauce Grande river basin (Argentina). In order to do so, we carried out five field trips during 2018 to identify land covers. It was studied the reflectance of each class from georeferenced samples acquired with a spectrometer and a GPS. Besides, spectral indices of vegetation, water, and soil were calculated to analyze the spectral behavior of each class. With this information, we delimited regions of interest to perform the supervised method. Subsequently, we downloaded the MODIS and ESA Landcover products. Then, we established a pixel of 300 meters for the three maps with matrix metrics. The Kappa coefficient, the overall accuracy, as well as the user and producer ones, were calculated to evaluate the estimated land cover against the measured ones. Results showed that MODIS-Landcover presents excellent agreements for determining crops and grasslands, while ESA-Landcover for urban expansion and water bodies.
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spelling SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)VALIDACIÓN DE PRODUCTOS SATELITALES A PARTIR DE MEDICIONES IN SITU PARA EL MONITOREO DE COBERTURAS DEL SUELO EN EL SUR DE LA REGIÓN PAMPEANA (ARGENTINA)VALIDATION DES PRODUITS SATELLITES PAR MESURES IN SITU POUR LA SURVEILLANCE DES COUVERTURES TERRESTRES AU SUD DE PAMPAS (ARGENTINA)VALIDAÇÃO DE PRODUTOS POR SATÉLITE ATRAVÉS DE MEDIÇÕES DO SITU PARA MONITORAR COBERTURAS TERRESTRE NO SUL DE PAMPAS (ARGENTINA)Spectral signaturesLandsat imagesMODIS-LandcoverESA-LandcoverConfusion matrixFirmas espectralesImágenes LandsatMODIS-LandcoverESA-LandcoverMatriz de confusiónThe study of regional-scale land covers is an expensive activity that requires specific equipment. This work aimed to analyze the precision and the accuracy between satellite products and a land cover map obtained using in situ measurements in the Sauce Grande river basin (Argentina). In order to do so, we carried out five field trips during 2018 to identify land covers. It was studied the reflectance of each class from georeferenced samples acquired with a spectrometer and a GPS. Besides, spectral indices of vegetation, water, and soil were calculated to analyze the spectral behavior of each class. With this information, we delimited regions of interest to perform the supervised method. Subsequently, we downloaded the MODIS and ESA Landcover products. Then, we established a pixel of 300 meters for the three maps with matrix metrics. The Kappa coefficient, the overall accuracy, as well as the user and producer ones, were calculated to evaluate the estimated land cover against the measured ones. Results showed that MODIS-Landcover presents excellent agreements for determining crops and grasslands, while ESA-Landcover for urban expansion and water bodies.La delimitación de las coberturas del suelo es una actividad costosa que requiere de instrumental específico. En este contexto, el objetivo de este estudio fue analizar la precisión y exactitud de productos satelitales de cobertura del suelo con respecto a un mapa confeccionado con mediciones in situ en la cuenca del río Sauce Grande (Argentina). Para ello, se realizaron cinco viajes de campo durante el año 2018 y se tomaron muestras georeferenciadas y firmas espectrales de las coberturas del suelo. Complementariamente, se calcularon índices de vegetación, suelo y agua a partir del procesamiento de imágenes satelitales Landsat 8. Con la reflectancia adquirida a campo y el comportamiento espectral de cada cobertura, se identificaron muestras espaciales necesarias para realizar una clasificación supervisada. Posteriormente, se descargaron los productos MODIS-Landcover y ESA-Landcover y se diseñaron mapas de coberturas del suelo estimadas. Se estableció un tamaño de píxel de 300 m para los tres productos satelitales y se aplicó con una matriz de confusión del tipo pixel por pixel para compararlos. Los resultados permitieron establecer que el MODIS-Landcover es un producto útil para el monitoreo de cultivos y pastizales, mientras que el ESA-Landcover para la expansión urbana y las variaciones del agua superficial.The study of regional-scale land covers is an expensive activity that requires specific equipment. This work aimed to analyze the precision and the accuracy between satellite products and a land cover map obtained using in situ measurements in the Sauce Grande river basin (Argentina). In order to do so, we carried out five field trips during 2018 to identify land covers. It was studied the reflectance of each class from georeferenced samples acquired with a spectrometer and a GPS. Besides, spectral indices of vegetation, water, and soil were calculated to analyze the spectral behavior of each class. With this information, we delimited regions of interest to perform the supervised method. Subsequently, we downloaded the MODIS and ESA Landcover products. Then, we established a pixel of 300 meters for the three maps with matrix metrics. The Kappa coefficient, the overall accuracy, as well as the user and producer ones, were calculated to evaluate the estimated land cover against the measured ones. Results showed that MODIS-Landcover presents excellent agreements for determining crops and grasslands, while ESA-Landcover for urban expansion and water bodies.EDUFU - Editora da Universidade Federal de Uberlândia2020-08-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/5405110.14393/RCG217654051Caminhos de Geografia; Vol. 21 No. 76 (2020): Agosto; 190-207Caminhos de Geografia; Vol. 21 Núm. 76 (2020): Agosto; 190-207Caminhos de Geografia; v. 21 n. 76 (2020): Agosto; 190-2071678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/54051/29489Copyright (c) 2020 Federico Ferrelli, Andrea Soledad Brendel, Gerardo Miguel Eduardo Perillo, María Cintia Piccoloinfo:eu-repo/semantics/openAccessFerrelli, Federico Soledad Brendel, AndreaMiguel Eduardo Perillo, Gerardo Cintia Piccolo, María2020-08-03T17:03:45Zoai:ojs.www.seer.ufu.br:article/54051Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2020-08-03T17:03:45Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
VALIDACIÓN DE PRODUCTOS SATELITALES A PARTIR DE MEDICIONES IN SITU PARA EL MONITOREO DE COBERTURAS DEL SUELO EN EL SUR DE LA REGIÓN PAMPEANA (ARGENTINA)
VALIDATION DES PRODUITS SATELLITES PAR MESURES IN SITU POUR LA SURVEILLANCE DES COUVERTURES TERRESTRES AU SUD DE PAMPAS (ARGENTINA)
VALIDAÇÃO DE PRODUTOS POR SATÉLITE ATRAVÉS DE MEDIÇÕES DO SITU PARA MONITORAR COBERTURAS TERRESTRE NO SUL DE PAMPAS (ARGENTINA)
title SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
spellingShingle SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
Ferrelli, Federico
Spectral signatures
Landsat images
MODIS-Landcover
ESA-Landcover
Confusion matrix
Firmas espectrales
Imágenes Landsat
MODIS-Landcover
ESA-Landcover
Matriz de confusión
title_short SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
title_full SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
title_fullStr SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
title_full_unstemmed SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
title_sort SATELLITE PRODUCTS VALIDATION THROUGH IN SITU MEASUREMENTS FOR MONITORING LAND COVERS IN THE SOUTH OF PAMPAS (ARGENTINA)
author Ferrelli, Federico
author_facet Ferrelli, Federico
Soledad Brendel, Andrea
Miguel Eduardo Perillo, Gerardo
Cintia Piccolo, María
author_role author
author2 Soledad Brendel, Andrea
Miguel Eduardo Perillo, Gerardo
Cintia Piccolo, María
author2_role author
author
author
dc.contributor.author.fl_str_mv Ferrelli, Federico
Soledad Brendel, Andrea
Miguel Eduardo Perillo, Gerardo
Cintia Piccolo, María
dc.subject.por.fl_str_mv Spectral signatures
Landsat images
MODIS-Landcover
ESA-Landcover
Confusion matrix
Firmas espectrales
Imágenes Landsat
MODIS-Landcover
ESA-Landcover
Matriz de confusión
topic Spectral signatures
Landsat images
MODIS-Landcover
ESA-Landcover
Confusion matrix
Firmas espectrales
Imágenes Landsat
MODIS-Landcover
ESA-Landcover
Matriz de confusión
description The study of regional-scale land covers is an expensive activity that requires specific equipment. This work aimed to analyze the precision and the accuracy between satellite products and a land cover map obtained using in situ measurements in the Sauce Grande river basin (Argentina). In order to do so, we carried out five field trips during 2018 to identify land covers. It was studied the reflectance of each class from georeferenced samples acquired with a spectrometer and a GPS. Besides, spectral indices of vegetation, water, and soil were calculated to analyze the spectral behavior of each class. With this information, we delimited regions of interest to perform the supervised method. Subsequently, we downloaded the MODIS and ESA Landcover products. Then, we established a pixel of 300 meters for the three maps with matrix metrics. The Kappa coefficient, the overall accuracy, as well as the user and producer ones, were calculated to evaluate the estimated land cover against the measured ones. Results showed that MODIS-Landcover presents excellent agreements for determining crops and grasslands, while ESA-Landcover for urban expansion and water bodies.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54051
10.14393/RCG217654051
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54051
identifier_str_mv 10.14393/RCG217654051
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/54051/29489
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 21 No. 76 (2020): Agosto; 190-207
Caminhos de Geografia; Vol. 21 Núm. 76 (2020): Agosto; 190-207
Caminhos de Geografia; v. 21 n. 76 (2020): Agosto; 190-207
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
_version_ 1797067017667215360

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