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Area wise very high resolution soil moisture availability estimation using heterogeneous remote sensing

Citation

Dutta, R and Mueller, H and Das, A and Smith, D, Area wise very high resolution soil moisture availability estimation using heterogeneous remote sensing, 36th Hydrology and Water Resources Symposium, HWRS 2015, 7-10 December 2015, Hobart, Tasmania, pp. 1356-1361. ISBN 9781922107497 (2015) [Refereed Conference Paper]


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Official URL: https://www.engineersaustralia.org.au/portal/event...

Abstract

This paper proposes and investigates a novel approach of using data-driven machine learning technique to overcome the drawbacks of conventional water balance modelling approaches due to the fact that the spatial and temporal resolution are limited as well as relying highly on condition-specified field experiments as a control group. The proposed approach integrates various independent remote sensing data sources of low to very high resolution as a single knowledge base, and then conducts a two-stage analysis of the data. Result from the research study shows that large area water availability could be modelled and estimated at a 50cm spatial and daily temporal resolution.

Item Details

Item Type:Refereed Conference Paper
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Information and Communication Services
Objective Group:Other Information and Communication Services
Objective Field:Information and Communication Services not elsewhere classified
Author:Das, A (Dr Aruneema Das)
ID Code:118007
Year Published:2015
Deposited By:Information and Communication Technology
Deposited On:2017-06-30
Last Modified:2017-11-03
Downloads:0

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