Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400014 |
Resumo: | The search for low subjectivity area estimates has increased the use of remote sensing for agricultural monitoring and crop yield prediction, leading to more flexibility in data acquisition and lower costs comparing to traditional methods such as census and surveys. Low spatial resolution satellite images with higher frequency in image acquisition have shown to be adequate for cropland mapping and monitoring in large areas. The main goal of this study was to map the Summer crops in the State of Paraná, Brazil, using 10-day composition of NDVI SPOT Vegetation data for 2005/2006, 2006/2007 and 2007/2008 cropping seasons. For this, a supervised digital classification method with Parallelepiped algorithm in multitemporal RGB image composites was used, in order to generate masks of Summer cultures for each 10-day composition. Accuracy assessment was performed using Kappa index, overall accuracy and Willmott's concordance index, resulting in good levels of accuracy. This methodology allowed the accomplishment, with free and low resolution data, of the mapping of Summer cultures at State level. |
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Engenharia Agrícola |
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Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI compositesremote sensingtime seriescrop yield estimatesThe search for low subjectivity area estimates has increased the use of remote sensing for agricultural monitoring and crop yield prediction, leading to more flexibility in data acquisition and lower costs comparing to traditional methods such as census and surveys. Low spatial resolution satellite images with higher frequency in image acquisition have shown to be adequate for cropland mapping and monitoring in large areas. The main goal of this study was to map the Summer crops in the State of Paraná, Brazil, using 10-day composition of NDVI SPOT Vegetation data for 2005/2006, 2006/2007 and 2007/2008 cropping seasons. For this, a supervised digital classification method with Parallelepiped algorithm in multitemporal RGB image composites was used, in order to generate masks of Summer cultures for each 10-day composition. Accuracy assessment was performed using Kappa index, overall accuracy and Willmott's concordance index, resulting in good levels of accuracy. This methodology allowed the accomplishment, with free and low resolution data, of the mapping of Summer cultures at State level.Associação Brasileira de Engenharia Agrícola2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400014Engenharia Agrícola v.31 n.4 2011reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162011000400014info:eu-repo/semantics/openAccessAraújo,Gleyce K. D.Rocha,Jansle V.Lamparelli,Rubens A. C.Rocha,Agmon M.eng2011-09-22T00:00:00Zoai:scielo:S0100-69162011000400014Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2011-09-22T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
title |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
spellingShingle |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites Araújo,Gleyce K. D. remote sensing time series crop yield estimates |
title_short |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
title_full |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
title_fullStr |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
title_full_unstemmed |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
title_sort |
Mapping of summer crops in the State of Paraná, Brazil, through the 10-day spot vegetation NDVI composites |
author |
Araújo,Gleyce K. D. |
author_facet |
Araújo,Gleyce K. D. Rocha,Jansle V. Lamparelli,Rubens A. C. Rocha,Agmon M. |
author_role |
author |
author2 |
Rocha,Jansle V. Lamparelli,Rubens A. C. Rocha,Agmon M. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Araújo,Gleyce K. D. Rocha,Jansle V. Lamparelli,Rubens A. C. Rocha,Agmon M. |
dc.subject.por.fl_str_mv |
remote sensing time series crop yield estimates |
topic |
remote sensing time series crop yield estimates |
description |
The search for low subjectivity area estimates has increased the use of remote sensing for agricultural monitoring and crop yield prediction, leading to more flexibility in data acquisition and lower costs comparing to traditional methods such as census and surveys. Low spatial resolution satellite images with higher frequency in image acquisition have shown to be adequate for cropland mapping and monitoring in large areas. The main goal of this study was to map the Summer crops in the State of Paraná, Brazil, using 10-day composition of NDVI SPOT Vegetation data for 2005/2006, 2006/2007 and 2007/2008 cropping seasons. For this, a supervised digital classification method with Parallelepiped algorithm in multitemporal RGB image composites was used, in order to generate masks of Summer cultures for each 10-day composition. Accuracy assessment was performed using Kappa index, overall accuracy and Willmott's concordance index, resulting in good levels of accuracy. This methodology allowed the accomplishment, with free and low resolution data, of the mapping of Summer cultures at State level. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400014 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400014 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0100-69162011000400014 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.31 n.4 2011 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126270598021120 |