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Multifractal Downscaling of Rainfall Using Normalized Difference Vegetation Index (NDVI) in the Andes Plateau
L A Duffaut Espinosa1, A N Posadas2,3, M Carbajal2
1Electrical and Biomedical Engineering Department, University of Vermont, Burlington, Vermont, United States of America.
This study estimates daily rainfall in the Peruvian Andes using Normalized Difference Vegetation Index (NDVI) data. The multifractal downscaling technique successfully generated daily rainfall estimates from satellite vegetation data.
Area of Science:
- Hydrology
- Remote Sensing
- Geospatial Analysis
Background:
- Accurate rainfall estimation is crucial for water resource management in high-altitude regions.
- Traditional meteorological data often lacks the spatial and temporal resolution needed for detailed hydrological studies.
- Satellite-derived vegetation indices offer a potential proxy for rainfall estimation.
Purpose of the Study:
- To develop and validate a temporal downscaling technique for estimating daily rainfall.
- To utilize Normalized Difference Vegetation Index (NDVI) data for rainfall estimation in the Peruvian Andean high plateau.
- To bridge the gap between irregular satellite data sampling and daily rainfall requirements.
Main Methods:
- Application of a multifractal downscaling technique.
- Transformation and lag correction of Normalized Difference Vegetation Index (NDVI) data.
- Temporal downscaling from 8-11 day intervals to daily estimates while maintaining ~1 km spatial resolution.
Main Results:
- Successful generation of daily rainfall estimates using the multifractal downscaling method.
- Validation of the downscaled rainfall estimates against on-site meteorological station data.
- Demonstration of the technique's efficacy in the Peruvian Andean high plateau.
Conclusions:
- Multifractal downscaling of NDVI is a viable method for estimating daily rainfall.
- The technique provides valuable high-resolution rainfall data for data-scarce regions.
- This approach enhances hydrological monitoring and water resource management in the Andes.
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