Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay
Vegetation indices are a relevant source of information for spatial monitoring of vegetation at multiple scales. Among them, the Normalized Difference Vegetation Index (NDVI) is one of the most commonly used. This study aims to describe and analyze the spatial patterns of the NDVI in terrestrial sys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitat Politécnica de Valencia
2015-06-01
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| Series: | Revista de Teledetección |
| Subjects: | |
| Online Access: | http://polipapers.upv.es/index.php/raet/article/view/3683 |
| _version_ | 1811306634500112384 |
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| author | M. Ceroni M. Achkar I. Gazzano J. Burgeño |
| author_facet | M. Ceroni M. Achkar I. Gazzano J. Burgeño |
| author_sort | M. Ceroni |
| collection | DOAJ |
| description | Vegetation indices are a relevant source of information for spatial monitoring of vegetation at multiple scales. Among them, the Normalized Difference Vegetation Index (NDVI) is one of the most commonly used. This study aims to describe and analyze the spatial patterns of the NDVI in terrestrial systems in Uruguay at the onset of the 21st Century. A multiscalar approach (country, basin and sites) was applied using time series analysis of NDVI values obtained from SPOT 4 and 5 images through the program Instrument Vegetation (VGT). The analyzed time series showed a significant fit of the Autocorrelated Integrated Moving Averages (ARIMA) model, with an autocorrelation of order 2 and a level of integration of order 1, ARIMA (211). A significant decline of the NDVI over all spatial units was found, with agricultural units (site scale) showing the most negative slope. This study provides baseline data on changes in vegetation productivity for Uruguay, and develops an accurate and robust methodology for spatio-temporal analysis of NDVI series. Remote sensing techniques are shown to be relevant to improve the management of environmental systems. |
| first_indexed | 2024-04-13T08:47:52Z |
| format | Article |
| id | doaj.art-8e26494e692841d2a90d7405d719bde0 |
| institution | Directory Open Access Journal |
| issn | 1133-0953 1988-8740 |
| language | English |
| last_indexed | 2024-04-13T08:47:52Z |
| publishDate | 2015-06-01 |
| publisher | Universitat Politécnica de Valencia |
| record_format | Article |
| series | Revista de Teledetección |
| spelling | doaj.art-8e26494e692841d2a90d7405d719bde02022-12-22T02:53:35ZengUniversitat Politécnica de ValenciaRevista de Teledetección1133-09531988-87402015-06-01043314210.4995/raet.2015.36833028Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in UruguayM. Ceroni0M. Achkar1I. Gazzano2J. Burgeño3Universidad de la RepúblicaUniversidad de la RepúblicaUniversidad de la RepúblicaCentro Internacional de Mejoramiento de Maíz y TrigoVegetation indices are a relevant source of information for spatial monitoring of vegetation at multiple scales. Among them, the Normalized Difference Vegetation Index (NDVI) is one of the most commonly used. This study aims to describe and analyze the spatial patterns of the NDVI in terrestrial systems in Uruguay at the onset of the 21st Century. A multiscalar approach (country, basin and sites) was applied using time series analysis of NDVI values obtained from SPOT 4 and 5 images through the program Instrument Vegetation (VGT). The analyzed time series showed a significant fit of the Autocorrelated Integrated Moving Averages (ARIMA) model, with an autocorrelation of order 2 and a level of integration of order 1, ARIMA (211). A significant decline of the NDVI over all spatial units was found, with agricultural units (site scale) showing the most negative slope. This study provides baseline data on changes in vegetation productivity for Uruguay, and develops an accurate and robust methodology for spatio-temporal analysis of NDVI series. Remote sensing techniques are shown to be relevant to improve the management of environmental systems.http://polipapers.upv.es/index.php/raet/article/view/3683NDVIseries temporalesSPOTenfoque multiescalarpercepción remota |
| spellingShingle | M. Ceroni M. Achkar I. Gazzano J. Burgeño Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay Revista de Teledetección NDVI series temporales SPOT enfoque multiescalar percepción remota |
| title | Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay |
| title_full | Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay |
| title_fullStr | Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay |
| title_full_unstemmed | Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay |
| title_short | Study of the NDVI with multi-scale and time-series analysis using SPOT imagery during the period 1998-2012 in Uruguay |
| title_sort | study of the ndvi with multi scale and time series analysis using spot imagery during the period 1998 2012 in uruguay |
| topic | NDVI series temporales SPOT enfoque multiescalar percepción remota |
| url | http://polipapers.upv.es/index.php/raet/article/view/3683 |
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