MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.

Detalhes bibliográficos
Autor(a) principal: AGUIAR, D. A.
Data de Publicação: 2017
Outros Autores: MELLO, M. P., NOGUEIRA, S. F., GONÇALVES, F. G., ADAMI, M., RUDORFF, B. F. T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1060956
Resumo: The unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock production, responsible for close to 15% of global production, be prepared to answer to the increasing demand of beef. Consequently, the evaluation of pasture quality at regional scale is important to inform public policies towards a rational land use strategy directed to improve livestock productivity in the country. Our hypothesis is that MODIS images can be used to evaluate the processes of degradation, restoration and renovation of tropical pastures. To test this hypothesis, two field campaigns were performed covering a route of approximately 40,000 km through nine Brazilian states. To characterize the sampled pastures, biophysical parameters were measured and observations about the pastures, the adopted management and the landscape were collected. Each sampled pasture was evaluated using a time series of MODIS EVI2 images from 2000?2012, according to a new protocol based on seven phenological metrics, 14 Boolean criteria and two numerical criteria. The theoretical basis of this protocol was derived from interviews with producers and livestock experts during a third field campaign. The analysis of the MODIS EVI2 time series provided valuable historical information on the type of intervention and on the biological degradation process of the sampled pastures. Of the 782 pastures sampled, 26.6% experienced some type of intervention, 19.1% were under biological degradation, and 54.3% presented neither intervention nor trend of biomass decrease during the period analyzed.
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spelling MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.EVI2 time seriesBiophysical parametersPhenological metricsBiological degradationPasture reformationParâmetros biofísicosMétricas fenológicasDegradação biológicaReforma de pastagensRenovação de pastagensRecuperação de pastagemThe unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock production, responsible for close to 15% of global production, be prepared to answer to the increasing demand of beef. Consequently, the evaluation of pasture quality at regional scale is important to inform public policies towards a rational land use strategy directed to improve livestock productivity in the country. Our hypothesis is that MODIS images can be used to evaluate the processes of degradation, restoration and renovation of tropical pastures. To test this hypothesis, two field campaigns were performed covering a route of approximately 40,000 km through nine Brazilian states. To characterize the sampled pastures, biophysical parameters were measured and observations about the pastures, the adopted management and the landscape were collected. Each sampled pasture was evaluated using a time series of MODIS EVI2 images from 2000?2012, according to a new protocol based on seven phenological metrics, 14 Boolean criteria and two numerical criteria. The theoretical basis of this protocol was derived from interviews with producers and livestock experts during a third field campaign. The analysis of the MODIS EVI2 time series provided valuable historical information on the type of intervention and on the biological degradation process of the sampled pastures. Of the 782 pastures sampled, 26.6% experienced some type of intervention, 19.1% were under biological degradation, and 54.3% presented neither intervention nor trend of biomass decrease during the period analyzed.Daniel Alves Aguiar, Agrosatélite Geotecnologia Aplicada; Marcio Pupin Mello, Boeing Research & Technology; SANDRA FURLAN NOGUEIRA, CNPM; Fabio Guimarães Gonçalves, Canopy Remote Sensing Solutions; Marcos Adami, Instituto Nacional de Pesquisas Espaciais; Bernardo Friedrich Theodor Rudorff, Agrosatélite Geotecnologia Aplicada.AGUIAR, D. A.MELLO, M. P.NOGUEIRA, S. F.GONÇALVES, F. G.ADAMI, M.RUDORFF, B. F. T.2017-01-17T11:11:11Z2017-01-17T11:11:11Z2017-01-1720172017-05-30T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRemote Sensing, v. 9, n. 73, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1060956enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:04:09Zoai:www.alice.cnptia.embrapa.br:doc/1060956Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:04:09falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:04:09Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
title MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
spellingShingle MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
AGUIAR, D. A.
EVI2 time series
Biophysical parameters
Phenological metrics
Biological degradation
Pasture reformation
Parâmetros biofísicos
Métricas fenológicas
Degradação biológica
Reforma de pastagens
Renovação de pastagens
Recuperação de pastagem
title_short MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
title_full MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
title_fullStr MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
title_full_unstemmed MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
title_sort MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture.
author AGUIAR, D. A.
author_facet AGUIAR, D. A.
MELLO, M. P.
NOGUEIRA, S. F.
GONÇALVES, F. G.
ADAMI, M.
RUDORFF, B. F. T.
author_role author
author2 MELLO, M. P.
NOGUEIRA, S. F.
GONÇALVES, F. G.
ADAMI, M.
RUDORFF, B. F. T.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Daniel Alves Aguiar, Agrosatélite Geotecnologia Aplicada; Marcio Pupin Mello, Boeing Research & Technology; SANDRA FURLAN NOGUEIRA, CNPM; Fabio Guimarães Gonçalves, Canopy Remote Sensing Solutions; Marcos Adami, Instituto Nacional de Pesquisas Espaciais; Bernardo Friedrich Theodor Rudorff, Agrosatélite Geotecnologia Aplicada.
dc.contributor.author.fl_str_mv AGUIAR, D. A.
MELLO, M. P.
NOGUEIRA, S. F.
GONÇALVES, F. G.
ADAMI, M.
RUDORFF, B. F. T.
dc.subject.por.fl_str_mv EVI2 time series
Biophysical parameters
Phenological metrics
Biological degradation
Pasture reformation
Parâmetros biofísicos
Métricas fenológicas
Degradação biológica
Reforma de pastagens
Renovação de pastagens
Recuperação de pastagem
topic EVI2 time series
Biophysical parameters
Phenological metrics
Biological degradation
Pasture reformation
Parâmetros biofísicos
Métricas fenológicas
Degradação biológica
Reforma de pastagens
Renovação de pastagens
Recuperação de pastagem
description The unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock production, responsible for close to 15% of global production, be prepared to answer to the increasing demand of beef. Consequently, the evaluation of pasture quality at regional scale is important to inform public policies towards a rational land use strategy directed to improve livestock productivity in the country. Our hypothesis is that MODIS images can be used to evaluate the processes of degradation, restoration and renovation of tropical pastures. To test this hypothesis, two field campaigns were performed covering a route of approximately 40,000 km through nine Brazilian states. To characterize the sampled pastures, biophysical parameters were measured and observations about the pastures, the adopted management and the landscape were collected. Each sampled pasture was evaluated using a time series of MODIS EVI2 images from 2000?2012, according to a new protocol based on seven phenological metrics, 14 Boolean criteria and two numerical criteria. The theoretical basis of this protocol was derived from interviews with producers and livestock experts during a third field campaign. The analysis of the MODIS EVI2 time series provided valuable historical information on the type of intervention and on the biological degradation process of the sampled pastures. Of the 782 pastures sampled, 26.6% experienced some type of intervention, 19.1% were under biological degradation, and 54.3% presented neither intervention nor trend of biomass decrease during the period analyzed.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-17T11:11:11Z
2017-01-17T11:11:11Z
2017-01-17
2017
2017-05-30T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Remote Sensing, v. 9, n. 73, 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1060956
identifier_str_mv Remote Sensing, v. 9, n. 73, 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1060956
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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