Journal of Aeronautics & Aerospace Engineering

Journal of Aeronautics & Aerospace Engineering
Open Access

ISSN: 2168-9792

+44-77-2385-9429

Studying hydrological processes in dry land landscapes: Can satellites help in data-poor regions?


2nd International Conference and Exhibition on Satellite & Space Missions

July 21-23, 2016 Berlin, Germany

Ben Jarihani

University of the Sunshine Coast, Australia

Posters & Accepted Abstracts: J Aeronaut Aerospace Eng

Abstract :

Dry lands occupy one third of the Earth�s surface and are home to around 400 million people, yet the water resources of these regions are often poorly understood because of a lack of fundamental hydrological data. Thus fundamental questions of (eco) hydrological function of these river systems cannot be understood at a detailed scale. Earth observation satellites have been proved to provide data and information on water cycle in multiple spatio-temporal scales. This research project aims to develop remotelysensed data approaches in order to improve our understanding of hydrological processes in data-sparse dry land landscapes. Four objectives were investigated: (i) to evaluate the accuracy and effectiveness of satellite derived altimetry data for estimating flood water depths in low-gradient, multi-channel rivers; (ii) to detect and map flood extents and optimize the trade-off between image frequency and spatial resolution using Landsat and MODIS satellites imagery; (iii) to assess satellite-based Digital Elevation Models (DEMs) accuracy for hydrodynamic modeling; and (iv) to use a hydrodynamic model supported by satellite-derived data to investigate flood water transmission loss. This research concluded that it is now possible to realistically constrain water balances in data-sparse dry land rivers using hydrodynamic models in combination with satellite-derived data to address limitations in the availability of conventional hydrological datasets. This research has implications for the opportunities, limitations, and future directions of using remotely-sensed data to better understand water balance and hydrodynamics of data-sparse regions. This knowledge is imperative for improved management of the limited water resources in dry land, both in Australia and around the world.

Biography :

Email: bjarihan@usc.edu.au

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