Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta Scientiarum. Agronomy (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2849 |
Resumo: | This paper presents a methodology for the use of AVHRR/NOAA-14 (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) sensor data in USLE (universal soil loss equation) for the identification of soil degradation and the mapping of erosion risks at regional level. To apply USLE equation, remote sensing and GIS (Geographic Information System) techniques were used to define sugarcane plantation areas. NDVI (Normalized Difference Vegetation Index) data acquired from seven different AVHRR images were transformed from gray scale levels to percent of reflectance, because reflectance data are more adequate to get NDVI values. A linear correlation analysis was performed between soil losses ratio and the age of sugarcane to derive the factor C (land use and management) which indicates the soil protection provided by the vegetative cover and it changes gradually as the amount of biomass increases. NDVI data derived from AVHRR/NOAA-14 images were adequate to characterize biomass increase in sugarcane plantations in a 16-month period covering two harvests |
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Acta Scientiarum. Agronomy (Online) |
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Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradationUso de dados multi-temporais do sensor AVHRR/NOAA-14 para avaliar a degradação do solosensoriamento remotosistema de informação geográficaplanejamento de uso da terra5.00.00.00-4 Ciências AgráriasThis paper presents a methodology for the use of AVHRR/NOAA-14 (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) sensor data in USLE (universal soil loss equation) for the identification of soil degradation and the mapping of erosion risks at regional level. To apply USLE equation, remote sensing and GIS (Geographic Information System) techniques were used to define sugarcane plantation areas. NDVI (Normalized Difference Vegetation Index) data acquired from seven different AVHRR images were transformed from gray scale levels to percent of reflectance, because reflectance data are more adequate to get NDVI values. A linear correlation analysis was performed between soil losses ratio and the age of sugarcane to derive the factor C (land use and management) which indicates the soil protection provided by the vegetative cover and it changes gradually as the amount of biomass increases. NDVI data derived from AVHRR/NOAA-14 images were adequate to characterize biomass increase in sugarcane plantations in a 16-month period covering two harvestsEste trabalho apresenta uma metodologia para a integração dos dados do sensor AVHRR/NOAA-14 na equação universal de perda de solos (EUPS) para identificar a degradação do solo e mapear os riscos de erosão em escala regional. Técnicas de sensoriamento remoto e sistema de informação geográfica (SIG) foram utilizadas para definir áreas plantadas com cana-de-açúcar. O IVDN (índice de vegetação por diferença normalizada) foi obtido de sete imagens AVHRR, transformadas de níveis de cinza em porcentagem de reflectância. Uma correlação linear foi estabelecida entre o índice de perda por erosão e a idade da cana-de-açúcar, visando a obtenção do fator C (uso e manejo) da EUPS que indica a proteção do solo fornecida pela cobertura vegetal e muda gradualmente com o aumento da biomassa. O IVDN derivado das imagens AVHRR mostrou-se adequado para caraterizar o aumento da biomassa em plantios de cana-de-açúcar num período de 16 meses, cobrindo duas colheitasUniversidade Estadual de Maringá2008-05-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/284910.4025/actasciagron.v22i0.2849Acta Scientiarum. Agronomy; Vol 22 (2000); 1037-1043Acta Scientiarum. Agronomy; v. 22 (2000); 1037-10431807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2849/1966Cavalli, Antonio CarlosLombardi Neto, FranciscoGarcia, Gilberto JoséZullo Junior, Jurandirinfo:eu-repo/semantics/openAccess2022-11-23T18:37:55Zoai:periodicos.uem.br/ojs:article/2849Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:37:55Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation Uso de dados multi-temporais do sensor AVHRR/NOAA-14 para avaliar a degradação do solo |
title |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation |
spellingShingle |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation Cavalli, Antonio Carlos sensoriamento remoto sistema de informação geográfica planejamento de uso da terra 5.00.00.00-4 Ciências Agrárias |
title_short |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation |
title_full |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation |
title_fullStr |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation |
title_full_unstemmed |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation |
title_sort |
Use of AVHRR/NOAA-14 multi-temporal data to evaluate soil degradation |
author |
Cavalli, Antonio Carlos |
author_facet |
Cavalli, Antonio Carlos Lombardi Neto, Francisco Garcia, Gilberto José Zullo Junior, Jurandir |
author_role |
author |
author2 |
Lombardi Neto, Francisco Garcia, Gilberto José Zullo Junior, Jurandir |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cavalli, Antonio Carlos Lombardi Neto, Francisco Garcia, Gilberto José Zullo Junior, Jurandir |
dc.subject.por.fl_str_mv |
sensoriamento remoto sistema de informação geográfica planejamento de uso da terra 5.00.00.00-4 Ciências Agrárias |
topic |
sensoriamento remoto sistema de informação geográfica planejamento de uso da terra 5.00.00.00-4 Ciências Agrárias |
description |
This paper presents a methodology for the use of AVHRR/NOAA-14 (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) sensor data in USLE (universal soil loss equation) for the identification of soil degradation and the mapping of erosion risks at regional level. To apply USLE equation, remote sensing and GIS (Geographic Information System) techniques were used to define sugarcane plantation areas. NDVI (Normalized Difference Vegetation Index) data acquired from seven different AVHRR images were transformed from gray scale levels to percent of reflectance, because reflectance data are more adequate to get NDVI values. A linear correlation analysis was performed between soil losses ratio and the age of sugarcane to derive the factor C (land use and management) which indicates the soil protection provided by the vegetative cover and it changes gradually as the amount of biomass increases. NDVI data derived from AVHRR/NOAA-14 images were adequate to characterize biomass increase in sugarcane plantations in a 16-month period covering two harvests |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-05-08 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2849 10.4025/actasciagron.v22i0.2849 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2849 |
identifier_str_mv |
10.4025/actasciagron.v22i0.2849 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/2849/1966 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 22 (2000); 1037-1043 Acta Scientiarum. Agronomy; v. 22 (2000); 1037-1043 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305905918967808 |