Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI

ABSTRACT The use of satellite images as a complement in irrigation management constitutes a primordial basis in the decision-making process for irrigated agriculture. In this context, the present study aimed to monitor through Normalized Difference Vegetation Index (NDVI) an irrigated sugarcane fiel...

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Main Authors: Angelo B. Alface, Silvio B. Pereira, Roberto Filgueiras, Fernando F. Cunha
Format: Article
Language:English
Published: Universidade Federal de Campina Grande 2019-05-01
Series:Revista Brasileira de Engenharia Agrícola e Ambiental
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000500330&lng=en&tlng=en
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author Angelo B. Alface
Silvio B. Pereira
Roberto Filgueiras
Fernando F. Cunha
author_facet Angelo B. Alface
Silvio B. Pereira
Roberto Filgueiras
Fernando F. Cunha
author_sort Angelo B. Alface
collection DOAJ
description ABSTRACT The use of satellite images as a complement in irrigation management constitutes a primordial basis in the decision-making process for irrigated agriculture. In this context, the present study aimed to monitor through Normalized Difference Vegetation Index (NDVI) an irrigated sugarcane field belonging to the Mafambisse company, located at the District of Nhamatanda/Sofala, Republic of Mozambique, and establish its relationship with the crop coefficient established by FAO (kcFAO) and fit a regression model to estimate crop coefficient (kc) from the relationship between NDVI and kcFAO. The study was conducted using a series of Sentinel-2A/MSI images, relative to the period from October 2016 to October 2017. Based on the NDVI images generated, it was possible to monitor the sugarcane crop in the field and analyse the sensitivity of the index to its vegetative vigor. A similar pattern was observed between kcFAO profiles and NDVI values, which allowed the adjustment to be performed, demonstrating that this index is an alternative to obtain the crop coefficient.
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publisher Universidade Federal de Campina Grande
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series Revista Brasileira de Engenharia Agrícola e Ambiental
spelling doaj-art-db23f7eb7f2447dbaf8099d84d5c69d72025-08-20T03:06:05ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292019-05-0123533033510.1590/1807-1929/agriambi.v23n5p330-335S1415-43662019000500330Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVIAngelo B. AlfaceSilvio B. PereiraRoberto FilgueirasFernando F. CunhaABSTRACT The use of satellite images as a complement in irrigation management constitutes a primordial basis in the decision-making process for irrigated agriculture. In this context, the present study aimed to monitor through Normalized Difference Vegetation Index (NDVI) an irrigated sugarcane field belonging to the Mafambisse company, located at the District of Nhamatanda/Sofala, Republic of Mozambique, and establish its relationship with the crop coefficient established by FAO (kcFAO) and fit a regression model to estimate crop coefficient (kc) from the relationship between NDVI and kcFAO. The study was conducted using a series of Sentinel-2A/MSI images, relative to the period from October 2016 to October 2017. Based on the NDVI images generated, it was possible to monitor the sugarcane crop in the field and analyse the sensitivity of the index to its vegetative vigor. A similar pattern was observed between kcFAO profiles and NDVI values, which allowed the adjustment to be performed, demonstrating that this index is an alternative to obtain the crop coefficient.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000500330&lng=en&tlng=enagricultura irrigadageotecnologiaSIG
spellingShingle Angelo B. Alface
Silvio B. Pereira
Roberto Filgueiras
Fernando F. Cunha
Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI
Revista Brasileira de Engenharia Agrícola e Ambiental
agricultura irrigada
geotecnologia
SIG
title Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI
title_full Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI
title_fullStr Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI
title_full_unstemmed Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI
title_short Sugarcane spatial-temporal monitoring and crop coefficient estimation through NDVI
title_sort sugarcane spatial temporal monitoring and crop coefficient estimation through ndvi
topic agricultura irrigada
geotecnologia
SIG
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000500330&lng=en&tlng=en
work_keys_str_mv AT angelobalface sugarcanespatialtemporalmonitoringandcropcoefficientestimationthroughndvi
AT silviobpereira sugarcanespatialtemporalmonitoringandcropcoefficientestimationthroughndvi
AT robertofilgueiras sugarcanespatialtemporalmonitoringandcropcoefficientestimationthroughndvi
AT fernandofcunha sugarcanespatialtemporalmonitoringandcropcoefficientestimationthroughndvi