Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season
This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Engenharia Agrícola
2013-06-01
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| Series: | Engenharia Agrícola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300009&tlng=en |
| _version_ | 1818965003752964096 |
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| author | Gustavo H. Dalposso Miguel A. Uribe-Opazo Erivelto Mercante Rubens A. C. Lamparelli |
| author_facet | Gustavo H. Dalposso Miguel A. Uribe-Opazo Erivelto Mercante Rubens A. C. Lamparelli |
| author_sort | Gustavo H. Dalposso |
| collection | DOAJ |
| description | This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning. |
| first_indexed | 2024-12-20T13:10:06Z |
| format | Article |
| id | doaj.art-967d516b0104419caeb453b77f6e3ad2 |
| institution | Directory Open Access Journal |
| issn | 0100-6916 |
| language | English |
| last_indexed | 2024-12-20T13:10:06Z |
| publishDate | 2013-06-01 |
| publisher | Sociedade Brasileira de Engenharia Agrícola |
| record_format | Article |
| series | Engenharia Agrícola |
| spelling | doaj.art-967d516b0104419caeb453b77f6e3ad22022-12-21T19:39:41ZengSociedade Brasileira de Engenharia AgrícolaEngenharia Agrícola0100-69162013-06-0133352553710.1590/S0100-69162013000300009Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop seasonGustavo H. Dalposso0Miguel A. Uribe-Opazo1Erivelto Mercante2Rubens A. C. Lamparelli3Universidade Tecnológica Federal do ParanáUniversidade Estadual do Oeste do ParanáUniversidade Estadual do Oeste do ParanáUniversidade Estadual de CampinasThis research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300009&tlng=enspatial statistics of areasspatial correlationvegetation index |
| spellingShingle | Gustavo H. Dalposso Miguel A. Uribe-Opazo Erivelto Mercante Rubens A. C. Lamparelli Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season Engenharia Agrícola spatial statistics of areas spatial correlation vegetation index |
| title | Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season |
| title_full | Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season |
| title_fullStr | Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season |
| title_full_unstemmed | Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season |
| title_short | Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season |
| title_sort | spatial autocorrelation of ndvi and gvi indices derived from landsat tm images for soybean crops in the western of the state of parana in 2004 2005 crop season |
| topic | spatial statistics of areas spatial correlation vegetation index |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300009&tlng=en |
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