Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor

Detalhes bibliográficos
Autor(a) principal: Hott, Marcos Cicarini
Data de Publicação: 2016
Outros Autores: de Carvalho, Luis Marcelo Tavares, Antunes, Mauro Antonio Homem, Santos, Polyanne Aguiar, Arantes, Tássia Borges, de Resende, João Cesar, da Rocha, Wadson Sebastião Duarte
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/22829
Resumo: The objective of this work was to analyze the development of grasslands in Zona da Mata, in the state of Minas Gerais, Brazil, between 2000 and 2013, using a parameter based on the growth index of the normalized difference vegetation index (NDVI) from the moderate resolution imaging spectroradiometer (Modis) data series. Based on temporal NDVI profiles, which were used as indicators of edaphoclimatic conditions, the growth index (GI) was estimated for 16‑day periods throughout the spring season of 2012 to early 2013, being compared with the average GI from 2000 to 2011, used as the reference period. Currently, the grassland areas in Zona da Mata occupy approximately 1.2 million hectares. According to the used methods, 177,322 ha (14.61%) of these grassland areas have very low vegetative growth; 577,698 ha (45.96%) have low growth; 433,475 ha (35.72%) have balanced growth; 39,980 ha (3.29%) have high growth; and 5,032 ha (0.41%) have very high vegetative growth. The grasslands had predominantly low vegetative growth during the studied period, and the NDVI/Modis series is a useful source of data for regional assessments.
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spelling Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensorCrescimento vegetativo de pastagens baseado em dados hipertemporais de NDVI do sensor Modisgrowth index; pastures; remote sensing; time series; Zona da Mataíndice de crescimento; pastagens; sensoriamento remoto; séries temporais; Zona da MataThe objective of this work was to analyze the development of grasslands in Zona da Mata, in the state of Minas Gerais, Brazil, between 2000 and 2013, using a parameter based on the growth index of the normalized difference vegetation index (NDVI) from the moderate resolution imaging spectroradiometer (Modis) data series. Based on temporal NDVI profiles, which were used as indicators of edaphoclimatic conditions, the growth index (GI) was estimated for 16‑day periods throughout the spring season of 2012 to early 2013, being compared with the average GI from 2000 to 2011, used as the reference period. Currently, the grassland areas in Zona da Mata occupy approximately 1.2 million hectares. According to the used methods, 177,322 ha (14.61%) of these grassland areas have very low vegetative growth; 577,698 ha (45.96%) have low growth; 433,475 ha (35.72%) have balanced growth; 39,980 ha (3.29%) have high growth; and 5,032 ha (0.41%) have very high vegetative growth. The grasslands had predominantly low vegetative growth during the studied period, and the NDVI/Modis series is a useful source of data for regional assessments.O objetivo deste trabalho foi analisar o desenvolvimento das pastagens na Zona da Mata, em Minas Gerais, entre 2000 e 2013, com uso de um parâmetro baseado no índice de crescimento do índice de vegetação da diferença normalizada (NDVI) a partir de séries de dados do “moderate resolution imaging spectrodiometer” (Modis). A partir dos perfis temporais do NDVI, usados como indicadores das condições edafoclimáticas, estimou-se o índice de crescimento (IC) para períodos de 16 dias da estação primaveril de 2012 até o início de 2013, o qual foi comparado ao IC médio de 2000 a 2011, período usado como referência. A área atual de pastagens na Zona da Mata é de aproximadamente 1,2 milhão de hectares. De acordo com os métodos usados, 177.322 ha (14,61%) destas áreas de pastagens apresentam crescimento vegetativo muito baixo; 577.698 ha (45,96%), crescimento baixo; 433.475 ha (35,72%), crescimento equilibrado; 39.980 ha (3,29%), crescimento alto; e 5.032 ha (0,41%), crescimento vegetativo muito alto. As pastagens apresentaram baixo crescimento vegetativo durante o período estudado, e a série NDVI/Modis é fonte útil de dados para a avaliação regional.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraHott, Marcos Cicarinide Carvalho, Luis Marcelo TavaresAntunes, Mauro Antonio HomemSantos, Polyanne AguiarArantes, Tássia Borgesde Resende, João Cesarda Rocha, Wadson Sebastião Duarte2016-09-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/22829Pesquisa Agropecuaria Brasileira; v.51, n.7, jul. 2016; 858-868Pesquisa Agropecuária Brasileira; v.51, n.7, jul. 2016; 858-8681678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAenghttps://seer.sct.embrapa.br/index.php/pab/article/view/22829/13383https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22829/14849Direitos autorais 2016 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2016-09-26T18:50:57Zoai:ojs.seer.sct.embrapa.br:article/22829Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2016-09-26T18:50:57Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
Crescimento vegetativo de pastagens baseado em dados hipertemporais de NDVI do sensor Modis
title Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
spellingShingle Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
Hott, Marcos Cicarini
growth index; pastures; remote sensing; time series; Zona da Mata
índice de crescimento; pastagens; sensoriamento remoto; séries temporais; Zona da Mata
title_short Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
title_full Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
title_fullStr Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
title_full_unstemmed Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
title_sort Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor
author Hott, Marcos Cicarini
author_facet Hott, Marcos Cicarini
de Carvalho, Luis Marcelo Tavares
Antunes, Mauro Antonio Homem
Santos, Polyanne Aguiar
Arantes, Tássia Borges
de Resende, João Cesar
da Rocha, Wadson Sebastião Duarte
author_role author
author2 de Carvalho, Luis Marcelo Tavares
Antunes, Mauro Antonio Homem
Santos, Polyanne Aguiar
Arantes, Tássia Borges
de Resende, João Cesar
da Rocha, Wadson Sebastião Duarte
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Hott, Marcos Cicarini
de Carvalho, Luis Marcelo Tavares
Antunes, Mauro Antonio Homem
Santos, Polyanne Aguiar
Arantes, Tássia Borges
de Resende, João Cesar
da Rocha, Wadson Sebastião Duarte
dc.subject.por.fl_str_mv growth index; pastures; remote sensing; time series; Zona da Mata
índice de crescimento; pastagens; sensoriamento remoto; séries temporais; Zona da Mata
topic growth index; pastures; remote sensing; time series; Zona da Mata
índice de crescimento; pastagens; sensoriamento remoto; séries temporais; Zona da Mata
description The objective of this work was to analyze the development of grasslands in Zona da Mata, in the state of Minas Gerais, Brazil, between 2000 and 2013, using a parameter based on the growth index of the normalized difference vegetation index (NDVI) from the moderate resolution imaging spectroradiometer (Modis) data series. Based on temporal NDVI profiles, which were used as indicators of edaphoclimatic conditions, the growth index (GI) was estimated for 16‑day periods throughout the spring season of 2012 to early 2013, being compared with the average GI from 2000 to 2011, used as the reference period. Currently, the grassland areas in Zona da Mata occupy approximately 1.2 million hectares. According to the used methods, 177,322 ha (14.61%) of these grassland areas have very low vegetative growth; 577,698 ha (45.96%) have low growth; 433,475 ha (35.72%) have balanced growth; 39,980 ha (3.29%) have high growth; and 5,032 ha (0.41%) have very high vegetative growth. The grasslands had predominantly low vegetative growth during the studied period, and the NDVI/Modis series is a useful source of data for regional assessments.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-26
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/22829
url https://seer.sct.embrapa.br/index.php/pab/article/view/22829
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/22829/13383
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22829/14849
dc.rights.driver.fl_str_mv Direitos autorais 2016 Pesquisa Agropecuária Brasileira
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2016 Pesquisa Agropecuária Brasileira
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.51, n.7, jul. 2016; 858-868
Pesquisa Agropecuária Brasileira; v.51, n.7, jul. 2016; 858-868
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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