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Area wise very high resolution soil moisture availability estimation using heterogeneous remote sensing
conference contribution
posted on 2023-05-23, 12:27 authored by Dutta, R, Mueller, H, Das, A, Smith, DThis 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.
History
Publication title
36th Hydrology and Water Resources Symposium 2015Pagination
1356-1361Department/School
Tasmanian School of MedicinePublisher
Engineers AustraliaPlace of publication
AustraliaEvent title
36th Hydrology and Water Resources Symposium 2015Event Venue
Hobart, AustraliaDate of Event (Start Date)
2015-12-07Date of Event (End Date)
2015-12-10Rights statement
Copyright 2015 Engineers AustraliaRepository Status
- Restricted