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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 2015, 7-10 December 2015, Hobart, Australia, pp. 1356-1361. (2015) [Refereed Conference Paper]

Copyright Statement

Copyright 2015 Engineers Australia

Official URL: https://www.engineersaustralia.org.au/Event/36th-h...

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
Keywords:artificial intelligence, hydrology, knowledge based systems, learning systems, remote sensing, soil moisture
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Environment
Objective Group:Soils
Objective Field:Soils not elsewhere classified
Author:Das, A (Dr Aruneema Das)
ID Code:119993
Year Published:2015
Deposited By:Engineering
Deposited On:2017-08-08
Last Modified:2017-10-16
Downloads:0

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