Water balance estimation in Australia through the merging of satellite observations with models

Valentijn R.N. Pauwels, Ashley Wright, Ashkan Shokri, Stefania Grimaldi

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

Australia is the driest of all inhabited continents, and is prone to both droughts and severe floods. In order to mitigate the impact of these phenomena, accurate flood forecasts and a reliable estimate of the land surface water storage are needed. This chapter provides an overview of three studies developing innovative methods to merge satellite data with models to achieve these goals. The overall conclusion from this work is that satellite data provide extremely valuable information for an improved water management, and that innovative methods are required to fully utilize their potential.

Original languageEnglish
Title of host publicationData Science Applied to Sustainability Analysis
EditorsJennifer B. Dunn, Prasanna Balaprakash
Place of PublicationAmsterdam Netherlands
PublisherElsevier - Mosby
Chapter3
Pages29-42
Number of pages14
Edition1st
ISBN (Electronic)9780128179765
DOIs
Publication statusPublished - 2021

Keywords

  • Drought
  • Flood forecasting
  • Model-data fusion
  • Modeling
  • Remote sensing

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