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dc.contributor.author
Gonzalez Loyarte, Maria Margarita
dc.contributor.author
Menenti, M.
dc.date.available
2019-12-26T14:19:07Z
dc.date.issued
2008-02
dc.identifier.citation
Gonzalez Loyarte, Maria Margarita; Menenti, M.; Impact of rainfall anomalies on Fourier parameters of NDVI time series of northwestern Argentina; Taylor & Francis Ltd; International Journal of Remote Sensing; 29; 4; 2-2008; 1125-1152
dc.identifier.issn
0143-1161
dc.identifier.uri
http://hdl.handle.net/11336/92896
dc.description.abstract
This paper describes a method to detect the impact of rainfall anomalies on vegetation phenology, in terms of timing (phase) and greenness, by using Fourier series to fit a time series of Normalized Difference Vegetation Index (NDVI) observations. The study was conducted in the northern semiarid region of Argentina, where rainfall is the driving factor of vegetation phenology. A 9-year time series of monthly NDVI Global Area Coverage (GAC) images, obtained with the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR), was split into nine series of 12-monthly images, each corresponding to a yearly growth cycle. A Fast Fourier Transform (FFT) algorithm was applied to each cycle, and derived parameters were analysed according to rainfall anomalies for irrigated and rainfed crops, grasslands and native forest. Derived Fourier parameters were: mean NDVI, amplitude and phase. Both negative and positive rainfall anomalies had a significant impact on the Fourier parameters. Amplitude and phase were the most sensitive parameters. Droughts modified the monomodal structure of the yearly cycle by decreasing the contribution of the 12-month periodic component and increasing the contribution of the 6-month component. The impact of drought on the Fourier parameters was highest for rainfed crops. Yearly values of Fourier parameters for grasslands and native forest were affected by prevailing hydrological conditions over the previous year.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
RAINFALL ANOMALIES
dc.subject
FOURIER PARAMETERS
dc.subject
TIME SERIES
dc.subject
NOAA-AVHRR/NDVI
dc.subject.classification
Ecología
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Impact of rainfall anomalies on Fourier parameters of NDVI time series of northwestern Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-10-10T19:34:50Z
dc.journal.volume
29
dc.journal.number
4
dc.journal.pagination
1125-1152
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Gonzalez Loyarte, Maria Margarita. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
dc.description.fil
Fil: Menenti, M.. Istituto per i Sistemi Agricoli e Forestali del Mediterraneo; Italia
dc.journal.title
International Journal of Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/01431160701355223
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/01431160701355223
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