Wavelet-based spatio-temporal fusion of observed rainfall with NDVI in Sri Lanka
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Chemin, Yann. 2012. Wavelet-based spatio-temporal fusion of observed rainfall with NDVI in Sri Lanka. Paper presented at the 33rd Asian Conference on Remote Sensing, Pattaya, Thailand, 26-30 November 2012. 11p.
Permanent link to cite or share this item: https://hdl.handle.net/10568/38323
External link to download this item: http://www.academia.edu/1953778/Wavelet-based_spatio-temporal_fusion_of_observed_rainfall_with_NDVI_in_Sri_Lanka
Availability of rainfall time-series is limited in many parts of the World, and the continuity of such records is variable. This research endeavors to extend actual daily rainfall observations to ungauged areas, taking into account events of rainfall as well as cumulative total daily rainfall, over a period of 11 years. Results show that rainfall events histograms can be reconstructed, and that total cumulative rainfall is estimated with 85% accuracy, using a surrounding network of rain gauges at 30-50 Km of distance from the point of study. This research can strengthen various types of research and applications such as ungauged basins research, regional climate modeling, food security early warning systems, agricultural insurance systems, etc.
Paper presented at the 33rd Asian Conference on Remote Sensing, Pattaya, Thailand, 26-30 November 2012