Detalhes bibliográficos
| Ano de defesa: |
2013 |
| Autor(a) principal: |
Rodrigues, Thalita Scharr
 |
| Orientador(a): |
Vaz, Maria Salete Marcon Gomes
|
| Banca de defesa: |
Falate, Rosane
,
Sanches, Ionildo José
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| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
UNIVERSIDADE ESTADUAL DE PONTA GROSSA
|
| Programa de Pós-Graduação: |
Programa de Pós Graduação Computação Aplicada
|
| Departamento: |
Computação para Tecnologias em Agricultura
|
| País: |
BR
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://tede2.uepg.br/jspui/handle/prefix/159
|
Resumo: |
The Remote Sensing has many techniques and technologies which are able to be applied in agriculture. Among these applications are the analysis of images taken by satellites that are in orbit around the Earth. In this work were used orbital images from Landsat 5 TM and 7 ETM+ about the years 2001, 2004 and 2009 in order to analyze the performance of the application of different vegetation indices such as NDVI, NRVI, SAVI, MSAVI2, AVI and TTVI. Statistical techniques were used as well as image processing, such as visual analysis, Histogram, Index Universal Image Quality (IQI) and Mean Square Error. Among the assessment techniques used were the most appropriate visual analysis in conjunction with the application of the IQI and histogram to detect differences in rates of phenological cycles of discrimination agricultural crops, natural vegetation and soils without vegetation. Indexes that showed the lowest performances were CTVI, followed by TTVI and AVI. The application of these vegetation indices enabled the monitoring of land use in the study area over the three years, without the need for continuous trips to the field.Although the spatial resolution is 30 meters, which is considered moderate for the case study, the images from Landsat 5 TM and Landsat 7 ETM were appropriate for this study. |
