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Using Wavelet Transform for MODIS Time-Series Analysis

Ramon Morais de Freitas, Instituto Nacional de Pesquisas Espaciais, (Presenting)
Yosio Edemir Shimabukuro, Instituto Nacional de Pesquisas Espaciais,

The Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index - EVI are widely accepted as good indicators of vegetation properties at regional scale. This work reports preliminary findings of a science training research project carried out as part of the LBA-Ecology program. The experiment was performed to assess the suitability of wavelets transform for Moderate Resolution Imaging Spectroradiometer - MODIS time-series filtering and analysis in the Amazon Region. In that, MOD13 Vegetation Indices product, 1km spatial resolution, 16-Days composite images from 2000 to 2005 were used as input data. The test site was a west - east transect (75º W to 35º W at 6º South latitude) encompassing several landscape types as tropical forest, deforestation area, transitional forest and semi-arid vegetation (“caatinga”). The Discrete Wavelets Transform (DWT) were used for filtering MODIS time-series and Continuous Wavelets Transform (CWT) for time-series analysis. The results showed that wavelets transform provides a gain in multitemporal analysis and visualization on interannual NDVI and EVI variability patterns.

Science Theme:  LC (Land Use and Land Cover Change)

Presentation Type:  Poster

Abstract ID: 72

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