RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA

Detalhes bibliográficos
Autor(a) principal: Trentin, Carline Biasoli
Data de Publicação: 2019
Outros Autores: Trentin, Aline Biasoli, Saldanha, Dejanira Luderitz
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Geographia (Niterói. Online)
Texto Completo: https://periodicos.uff.br/geographia/article/view/14187
Resumo: Variations of spectral response are directly related to the amount of aboveground biomass vegetation (stored) in addition to other pigments. We estimate the aboveground biomass vegetation through a relationship between aboveground biomass vegetation in grassland native collected in the field and remote sensing data in the hot and cold seasons of the period from 2012 to 2014. To estimate the biomass of grassland native air from spectral data, the data were related to amount of instant air field collected biomass during the period 2012 to 2014 versus the spectral response of vegetation data (measured by MODIS sensor). From the development of a temporal profile of data and a scatter plot between aboveground biomass values and spectral data, conducted analyses of correlation and linear regression analysis, noting the relationship between these two sets of data. In this way, it was observed a relationship between aboveground biomass and the indices EVI and NDVI and NIR spectral band, with highest values in summer and lower in winter. The correlation coefficient was significant for the bands of blue, red, NIR, EVI and NDVI. In this way, the resulting model demonstrated the applicability of MODIS images for the estimation of aboveground biomass of grassland vegetation.
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spelling RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATARELACIONES ENTRE LA BIOMASA DE LA VEGETACIÓN CAMPESTRE NATIVA Y DATOS DE DETECCIÓN REMOTA ORBITALRELAÇÃO ENTRE A BIOMASSA DA VEGETAÇÃO CAMPESTRE NATIVA E DADOS DE SENSORIAMENTO REMOTO ORBITALresposta espectralsensor MODISBioma PampaAnálise da vegetação por sensoriamento remotoRespuesta espectralSensor MODISBioma PampaSpectral responseMODIS sensorPampa BiomeVariations of spectral response are directly related to the amount of aboveground biomass vegetation (stored) in addition to other pigments. We estimate the aboveground biomass vegetation through a relationship between aboveground biomass vegetation in grassland native collected in the field and remote sensing data in the hot and cold seasons of the period from 2012 to 2014. To estimate the biomass of grassland native air from spectral data, the data were related to amount of instant air field collected biomass during the period 2012 to 2014 versus the spectral response of vegetation data (measured by MODIS sensor). From the development of a temporal profile of data and a scatter plot between aboveground biomass values and spectral data, conducted analyses of correlation and linear regression analysis, noting the relationship between these two sets of data. In this way, it was observed a relationship between aboveground biomass and the indices EVI and NDVI and NIR spectral band, with highest values in summer and lower in winter. The correlation coefficient was significant for the bands of blue, red, NIR, EVI and NDVI. In this way, the resulting model demonstrated the applicability of MODIS images for the estimation of aboveground biomass of grassland vegetation.Las variaciones de la respuesta espectral de la vegetación están directamente relacionadas a la cantidad de biomasa aérea producida (estoqueada) además de otros pigmentos. El objetivo de este trabajo fue estimar la biomasa aérea de la vegetación a través de una relación entre la biomasa de la parte aérea de la vegetación campestre nativa colectada en el campo y datos de detección remota orbital, considerando las estaciones caliente y fría del año. Para estimar la biomasa aérea de la vegetación campestre nativa a partir de datos espectrales, fueron analisados los datos de cuantidad de biomasa aérea instantánea colectada en el campo durante el período de 2012 a 2014 y los datos de la respuesta espectral de la vegetación (medidos por el sensor MODIS). A partir de la elaboración de un perfil temporal de los datos y un gráfico de dispersión entre los valores de biomasa aérea y datos espectrales, fueron realizados análisis de correlación y análisis de regresión linear, verificando la relación existente entre estos dos conjuntos de datos. De esta manera, se observó que la vegetación campestre nativa del bioma Pampa tiene un comportamiento estacional bien definido, con período de crecimento de las especies en los meses calientes del año. Fue verificada una relación directa entre la biomasa aérea y los índices EVI y NDVI y la banda espectral del NIR, con mayores valores en el verano y menores en el invierno. El coeficiente de correlacción fue significativo para las bandas del azul, rojo, NIR, EVI y NDVI. Así, el modelo resultante demostró la aplicabilidad de las imagenes MODIS para la estimativa de la biomasa aérea de la vegetación campestre.As variações da resposta espectral da vegetação estão diretamente relacionadas com a quantidade de biomassa aérea produzida (estocada) além de outros pigmentos. O objetivo deste trabalho foi estimar a biomassa aérea da vegetação através de uma relação entre a biomassa da parte aérea da vegetação campestre nativa coletada em campo e dados de sensoriamento remoto orbital, considerando as estações quente e fria do ano. Para estimar a biomassa aérea da vegetação campestre nativa a partir de dados espectrais, foram analisados os dados de quantidade de biomassa aérea instantânea coletada em campo durante o período de 2012 a 2014 e os dados da resposta espectral da vegetação (medidos pelo sensor MODIS). A partir da elaboração de um perfil temporal dos dados e um gráfico de dispersão entre os valores de biomassa aérea e dados espectrais, foram realizadas análises de correlação e análise de regressão linear, verificando a relação existente entre estes dois conjuntos de dados. Desta forma, observou-se que a vegetação campestre nativa do bioma Pampa tem um comportamento sazonal bem definido, com período de crescimento das espécies nos meses quentes do ano. Foi verificada uma relação direta entre a biomassa aérea e os índices EVI e NDVI e a banda espectral do NIR, com maiores valores no verão e menores no inverno. O coeficiente de correlação foi significativo para as bandas do azul, vermelho, NIR, EVI e NDVI. Desta forma, o modelo resultante demonstrou a aplicabilidade das imagens MODIS para a estimativa da biomassa aérea da vegetação campestre. ABEC2019-06-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos ParesPesquisaapplication/pdfhttps://periodicos.uff.br/geographia/article/view/1418710.22409/GEOgraphia2019.v21i45.a14187GEOgraphia; Vol. 21 No. 45 (2019): jan./abr.; 98 - 106GEOgraphia; Vol. 21 Núm. 45 (2019): jan./abr.; 98 - 106GEOgraphia; v. 21 n. 45 (2019): jan./abr.; 98 - 1062674-81261517-779310.22409/GEOgraphia2019.v21i45reponame:Revista Geographia (Niterói. Online)instname:Universidade Federal Fluminense (UFF)instacron:UFFporhttps://periodicos.uff.br/geographia/article/view/14187/16833Copyright (c) 2019 GEOgraphiahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTrentin, Carline BiasoliTrentin, Aline BiasoliSaldanha, Dejanira Luderitz2019-06-07T18:23:44Zoai:ojs.pkp.sfu.ca:article/14187Revistahttps://periodicos.uff.br/geographia/indexPUBhttps://periodicos.uff.br/geographia/oaiperiodicos@proppi.uff.br ; revistageographia@gmail.com2674-81261517-7793opendoar:2023-01-12T16:43:09.309520Revista Geographia (Niterói. Online) - Universidade Federal Fluminense (UFF)false
dc.title.none.fl_str_mv RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
RELACIONES ENTRE LA BIOMASA DE LA VEGETACIÓN CAMPESTRE NATIVA Y DATOS DE DETECCIÓN REMOTA ORBITAL
RELAÇÃO ENTRE A BIOMASSA DA VEGETAÇÃO CAMPESTRE NATIVA E DADOS DE SENSORIAMENTO REMOTO ORBITAL
title RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
spellingShingle RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
Trentin, Carline Biasoli
resposta espectral
sensor MODIS
Bioma Pampa
Análise da vegetação por sensoriamento remoto
Respuesta espectral
Sensor MODIS
Bioma Pampa
Spectral response
MODIS sensor
Pampa Biome
title_short RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
title_full RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
title_fullStr RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
title_full_unstemmed RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
title_sort RELATIONSHIP BETWEEN BIOMASS OF NATIVE GRASSLANDS AND REMOTE SENSING DATA
author Trentin, Carline Biasoli
author_facet Trentin, Carline Biasoli
Trentin, Aline Biasoli
Saldanha, Dejanira Luderitz
author_role author
author2 Trentin, Aline Biasoli
Saldanha, Dejanira Luderitz
author2_role author
author
dc.contributor.author.fl_str_mv Trentin, Carline Biasoli
Trentin, Aline Biasoli
Saldanha, Dejanira Luderitz
dc.subject.por.fl_str_mv resposta espectral
sensor MODIS
Bioma Pampa
Análise da vegetação por sensoriamento remoto
Respuesta espectral
Sensor MODIS
Bioma Pampa
Spectral response
MODIS sensor
Pampa Biome
topic resposta espectral
sensor MODIS
Bioma Pampa
Análise da vegetação por sensoriamento remoto
Respuesta espectral
Sensor MODIS
Bioma Pampa
Spectral response
MODIS sensor
Pampa Biome
description Variations of spectral response are directly related to the amount of aboveground biomass vegetation (stored) in addition to other pigments. We estimate the aboveground biomass vegetation through a relationship between aboveground biomass vegetation in grassland native collected in the field and remote sensing data in the hot and cold seasons of the period from 2012 to 2014. To estimate the biomass of grassland native air from spectral data, the data were related to amount of instant air field collected biomass during the period 2012 to 2014 versus the spectral response of vegetation data (measured by MODIS sensor). From the development of a temporal profile of data and a scatter plot between aboveground biomass values and spectral data, conducted analyses of correlation and linear regression analysis, noting the relationship between these two sets of data. In this way, it was observed a relationship between aboveground biomass and the indices EVI and NDVI and NIR spectral band, with highest values in summer and lower in winter. The correlation coefficient was significant for the bands of blue, red, NIR, EVI and NDVI. In this way, the resulting model demonstrated the applicability of MODIS images for the estimation of aboveground biomass of grassland vegetation.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos Pares
Pesquisa
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uff.br/geographia/article/view/14187
10.22409/GEOgraphia2019.v21i45.a14187
url https://periodicos.uff.br/geographia/article/view/14187
identifier_str_mv 10.22409/GEOgraphia2019.v21i45.a14187
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uff.br/geographia/article/view/14187/16833
dc.rights.driver.fl_str_mv Copyright (c) 2019 GEOgraphia
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 GEOgraphia
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ABEC
publisher.none.fl_str_mv ABEC
dc.source.none.fl_str_mv GEOgraphia; Vol. 21 No. 45 (2019): jan./abr.; 98 - 106
GEOgraphia; Vol. 21 Núm. 45 (2019): jan./abr.; 98 - 106
GEOgraphia; v. 21 n. 45 (2019): jan./abr.; 98 - 106
2674-8126
1517-7793
10.22409/GEOgraphia2019.v21i45
reponame:Revista Geographia (Niterói. Online)
instname:Universidade Federal Fluminense (UFF)
instacron:UFF
instname_str Universidade Federal Fluminense (UFF)
instacron_str UFF
institution UFF
reponame_str Revista Geographia (Niterói. Online)
collection Revista Geographia (Niterói. Online)
repository.name.fl_str_mv Revista Geographia (Niterói. Online) - Universidade Federal Fluminense (UFF)
repository.mail.fl_str_mv periodicos@proppi.uff.br ; revistageographia@gmail.com
_version_ 1797051587759177728

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