Validating the data fusion-based drought index across Queensland, Australia, and investigating interdependencies with remote drivers

Author:

Azmi Mohammad1ORCID,Rüdiger Christoph1

Affiliation:

1. Department of Civil Engineering; Monash University; Clayton Victoria Australia

Publisher

Wiley

Subject

Atmospheric Science

Reference56 articles.

1. Remote sensing of drought: progress, challenges and opportunities;AghaKouchak;Reviews of Geophysics,2015

2. Endurance

3. Australian Broadcasting Corporation 2017 Biggest drought assistance relief payout shows depth of 2013-16 drought in Queensland http://www.abc.net.au/news/2017-01-04/queensland-drought-assistance-reviewed/8161490

4. Probabilistic forecasting of drought events using Markov chain- and Bayesian network-based models: a case study of an Andean regulated river basin;Aviles;Water,2016

5. Multi model data fusion for hydrological forecasting using K-nearest neighbour method;Azmi;Iranian Journal of Science and Technology,2010

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