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Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data

Azzali, S ; Menenti, M

International journal of remote sensing, 2000, Vol.21 (5), p.973-996 [Periódico revisado por pares]

Abingdon: Taylor & Francis Group

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Título:
Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data
Autor: Azzali, S ; Menenti, M
Assuntos: AFRICA MERIDIONAL ; AFRIQUE AUSTRALE ; ALTERRA Wageningen UR ; Applied geophysics ; BOSQUE HUMEDO ; CARTOGRAFIA ; CARTOGRAPHIE ; CARTOGRAPHY ; CHARACTERISTICS ; CLIMA ; CLIMAT ; CLIMATE ; DESERT ; DESERTS ; DESIERTOS ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; FORET CLAIRE ; FORET HUMIDE ; FORMACION BOSCOSA ; GRASSLANDS ; HERBAGE ; HUMAN ACTIVITY ; IMAGENES ; IMAGERIE ; IMAGERY ; Internal geophysics ; PRADERAS ; RAIN FORESTS ; SATELLITES ; SOIL ; Soils ; SOL ; SOUTHERN AFRICA ; SUELO ; Surficial geology ; TIME SERIES ; VEGETACION ; VEGETATION ; Wageningen Environmental Research ; WOODLANDS
É parte de: International journal of remote sensing, 2000, Vol.21 (5), p.973-996
Notas: U40
P30
2001001726
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Descrição: The distribution and phenology of vegetation is largely associated with climate, terrain characteristics and human activity. Satellite data provide the opportunity to monitor continuously the dynamics of vegetation, its changes and its impact on the environment. Monthly normalized difference vegetation index (NDVI) values which had been extracted from NOAA-AVHRR GAC data for Southern Africa (south of the Equator) from 1981 till 1991 were analysed using the Fast Fourier Transform (FFT). The FFT gives a new representation of the time series of images, i.e. a set of images of amplitude and phase (pixelwise) of periodic functions with different frequencies, which allows the analysis of the vegetation phenology using only the amplitude and phase of the most important periodic components. This approach is a powerful way to monitor various dynamic parameters of the vegetation in Southern Africa. The relationship between amplitude values and aridity and vegetation type was studied by correlating the amplitude and phase images with maps of the Budyko Aridity Index (ratio of net radiation to rainfall) and of the vegetation (White map). Images of amplitude and phase values were then used as attributes to map land units homogeneous as regards leaf display phenology. The map of these land units in Southern Africa, which has a 7.6 km resolution, was based on long term (9 years) information of 19 different vegetation-soil-climate complexes. Ten out of the 19 vegetation-soil-climate complexes are described in detail.
Editor: Abingdon: Taylor & Francis Group
Idioma: Inglês

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Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data

Azzali, S ; Menenti, M

Abingdon: Taylor & Francis Group

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