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Activity Number:
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274
- Statistical Analysis of Large Time Series of Remotely Sensed Environmental Measurements: Tales of the Collision Between Statistics, Remote Sensing and Geo-Computation
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 4, 2020 : 1:00 PM to 2:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #310933
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Title:
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Embedding Spatial Variability in Rainfall Field Reconstruction
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Author(s):
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Luis Rosales Marticorena*
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Companies:
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ESAN University
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Keywords:
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Wavelet;
NDVI;
Rainfall;
lag
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Abstract:
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We provide a method for rainfall field reconstruction when there are scarce rain-gauge stations available. The proposed method is based on a wavelet reconstruction technique that requires no distributional assumptions, but relies on the relation between rainfall and normalized difference vegetation index to account for the unobserved spatial variability of the field. We apply this idea over a region of the southern Peruvian Andes where data gathered from meteorological stations provide enough statistical significance. A comparison with respect to an alternative source of spatial variability and common practices is provided.
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Authors who are presenting talks have a * after their name.
