Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images.
Rapideye sensor have been operating since 2009 and was one of the first multispectral (5 bands) sensors to operate as part of a satellite constellation (5 satellites), able to provide a massive stock of images with singular synoptic (~5 days) and spatial capabilities (5m). However, so far the Rapideye unique characteristic is still underused, precisely, its Red Edge band (690-730) and possible applications to agricultural mapping considering crop biophysical compounds. The Red Edge band is spectrally located between the Red band, where chlorophyll presence causes strong absorption of light, and the Near Infrared (NIR) band, which has a strong reflection associated with the leaf cell structure. In rder to explore the spectral characteristics of the Rapideye images we evaluated the sensor performance at the sugarcane crop over five different crop anagement (i.e. irrigated, non-irrigated, meiosi, conventional management and Coopercitrus management), by comparison between two band ratios: NDVI (Normalized Difference Vegetation Index), that uses Red and NIR bands; and NDRE (Normalized Difference Red Edge Index), which uses the Red and Red Edge bands. Through the use of NDRE index was possible to map iscreet and important spatial variations of chlorophyll content in the intra experimental fields.
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Format: | Separatas biblioteca |
Language: | English eng |
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2018-01-08
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Subjects: | Spectral indices, Rapideye, Índíces espectrais, Mapeamento., Sensoriamento remoto, Cana de açúcar, Clorofila., Remote sensing, Sugarcane, Chlorophyll, |
Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084598 |
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dig-alice-doc-10845982018-01-08T23:27:18Z Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. VICENTE, L. E. LOEBMANN, D. G. dos S. W. ZILLMANN, E. GONZALEZ, A. VICENTE, A. K. OLIVEIRA, B. P. de ARAUJO, L. S. de LUIZ EDUARDO VICENTE, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; ERIK ZILLMANN, Planet Labs; ADRIAN GONZALEZ, Planet Labs; ANDREA KOGA VICENTE, Unicamp; BIANCA PEDRONI DE OLIVEIRA, CNPMA; LUCIANA SPINELLI DE ARAUJO, CNPMA. Spectral indices Rapideye Índíces espectrais Mapeamento. Sensoriamento remoto Cana de açúcar Clorofila. Remote sensing Sugarcane Chlorophyll Rapideye sensor have been operating since 2009 and was one of the first multispectral (5 bands) sensors to operate as part of a satellite constellation (5 satellites), able to provide a massive stock of images with singular synoptic (~5 days) and spatial capabilities (5m). However, so far the Rapideye unique characteristic is still underused, precisely, its Red Edge band (690-730) and possible applications to agricultural mapping considering crop biophysical compounds. The Red Edge band is spectrally located between the Red band, where chlorophyll presence causes strong absorption of light, and the Near Infrared (NIR) band, which has a strong reflection associated with the leaf cell structure. In rder to explore the spectral characteristics of the Rapideye images we evaluated the sensor performance at the sugarcane crop over five different crop anagement (i.e. irrigated, non-irrigated, meiosi, conventional management and Coopercitrus management), by comparison between two band ratios: NDVI (Normalized Difference Vegetation Index), that uses Red and NIR bands; and NDRE (Normalized Difference Red Edge Index), which uses the Red and Red Edge bands. Through the use of NDRE index was possible to map iscreet and important spatial variations of chlorophyll content in the intra experimental fields. 2018-01-08T23:27:11Z 2018-01-08T23:27:11Z 2018-01-08 2017 2018-01-08T23:27:11Z Separatas In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59847. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084598 en eng openAccess p. 3970-3977. |
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Spectral indices Rapideye Índíces espectrais Mapeamento. Sensoriamento remoto Cana de açúcar Clorofila. Remote sensing Sugarcane Chlorophyll Spectral indices Rapideye Índíces espectrais Mapeamento. Sensoriamento remoto Cana de açúcar Clorofila. Remote sensing Sugarcane Chlorophyll |
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Spectral indices Rapideye Índíces espectrais Mapeamento. Sensoriamento remoto Cana de açúcar Clorofila. Remote sensing Sugarcane Chlorophyll Spectral indices Rapideye Índíces espectrais Mapeamento. Sensoriamento remoto Cana de açúcar Clorofila. Remote sensing Sugarcane Chlorophyll VICENTE, L. E. LOEBMANN, D. G. dos S. W. ZILLMANN, E. GONZALEZ, A. VICENTE, A. K. OLIVEIRA, B. P. de ARAUJO, L. S. de Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. |
description |
Rapideye sensor have been operating since 2009 and was one of the first multispectral (5 bands) sensors to operate as part of a satellite constellation (5 satellites), able to provide a massive stock of images with singular synoptic (~5 days) and spatial capabilities (5m). However, so far the Rapideye unique characteristic is still underused, precisely, its Red Edge band (690-730) and possible applications to agricultural mapping considering crop biophysical compounds. The Red Edge band is spectrally located between the Red band, where chlorophyll presence causes strong absorption of light, and the Near Infrared (NIR) band, which has a strong reflection associated with the leaf cell structure. In rder to explore the spectral characteristics of the Rapideye images we evaluated the sensor performance at the sugarcane crop over five different crop anagement (i.e. irrigated, non-irrigated, meiosi, conventional management and Coopercitrus management), by comparison between two band ratios: NDVI (Normalized Difference Vegetation Index), that uses Red and NIR bands; and NDRE (Normalized Difference Red Edge Index), which uses the Red and Red Edge bands. Through the use of NDRE index was possible to map iscreet and important spatial variations of chlorophyll content in the intra experimental fields. |
author2 |
LUIZ EDUARDO VICENTE, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; ERIK ZILLMANN, Planet Labs; ADRIAN GONZALEZ, Planet Labs; ANDREA KOGA VICENTE, Unicamp; BIANCA PEDRONI DE OLIVEIRA, CNPMA; LUCIANA SPINELLI DE ARAUJO, CNPMA. |
author_facet |
LUIZ EDUARDO VICENTE, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; ERIK ZILLMANN, Planet Labs; ADRIAN GONZALEZ, Planet Labs; ANDREA KOGA VICENTE, Unicamp; BIANCA PEDRONI DE OLIVEIRA, CNPMA; LUCIANA SPINELLI DE ARAUJO, CNPMA. VICENTE, L. E. LOEBMANN, D. G. dos S. W. ZILLMANN, E. GONZALEZ, A. VICENTE, A. K. OLIVEIRA, B. P. de ARAUJO, L. S. de |
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Separatas |
topic_facet |
Spectral indices Rapideye Índíces espectrais Mapeamento. Sensoriamento remoto Cana de açúcar Clorofila. Remote sensing Sugarcane Chlorophyll |
author |
VICENTE, L. E. LOEBMANN, D. G. dos S. W. ZILLMANN, E. GONZALEZ, A. VICENTE, A. K. OLIVEIRA, B. P. de ARAUJO, L. S. de |
author_sort |
VICENTE, L. E. |
title |
Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. |
title_short |
Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. |
title_full |
Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. |
title_fullStr |
Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. |
title_full_unstemmed |
Assessment of vegetational indices applied to sugarcane monitoring using Rapideye images. |
title_sort |
assessment of vegetational indices applied to sugarcane monitoring using rapideye images. |
publishDate |
2018-01-08 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084598 |
work_keys_str_mv |
AT vicentele assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages AT loebmanndgdossw assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages AT zillmanne assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages AT gonzaleza assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages AT vicenteak assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages AT oliveirabpde assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages AT araujolsde assessmentofvegetationalindicesappliedtosugarcanemonitoringusingrapideyeimages |
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1756024228355768320 |