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Spatio-Temporal Characterisation of Drought: Data Analytics, Modelling, Tracking, Impact and Prediction
Vitali Diaz
GIS Technologie
Water Resources
Research output
:
Thesis
›
Dissertation (TU Delft)
258
Downloads (Pure)
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Dive into the research topics of 'Spatio-Temporal Characterisation of Drought: Data Analytics, Modelling, Tracking, Impact and Prediction'. Together they form a unique fingerprint.
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INIS
prediction
100%
droughts
100%
data
100%
modeling
100%
variations
13%
machine learning
13%
populations
6%
tracks
6%
crops
6%
yields
6%
availability
6%
Earth and Planetary Sciences
Impact
100%
Drought
100%
Characterization
100%
Variation
13%
Machine Learning
13%
Approach
13%
Temporal Analysis
13%
Monitor
6%
Investigation
6%
Improvement
6%
Yield Response
6%
Crop Yield
6%
Research
6%
Need
6%
Agricultural and Biological Sciences
Prediction
100%
Drought
100%
Mathematical Model
100%
Area
20%
Methodology
13%
Learning
13%
Crop Yield
6%
Research
6%
Keyphrases
Drought Prediction
22%
Drought Variability
11%
Crop Yield Response
11%
Visual Approach
11%