Spatio-Temporal Prediction of Root Zone Soil Moisture Using Multivariate Relevance Vector Machines

Mapping Root Zone Soil Moisture Using Remotely Sensed Optical Imagery

Field-based soil moisture measurements are cumbersome. Remote sensing techniques based on active or passive microwave data have limitations. This paper presents and validates a new method based on land surface energy balances using remotely sensed optical data ~including thermal infrared!, which allows field and landscape-scale mapping of soil moisture depth-averaged through the root zone of ex...

Multivariate Relevance Vector Machines for Tracking

This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mapping from image features to state space is learned using a set of relevance vector machines, extended to handle multivariate outputs. The image features are Hausdorff matching scores obtained by matching different shape...

Analysis, Modeling and Spatio-Temporal Prediction of Avalanches Using Support Vector Machines

Root Zone Soil Moisture Retrieval Using Streamflow and Surface Moisture Data Assimilation in Nested Catchments

Correct knowledge of soil moisture is important for improving the prediction of coupled land surface atmosphere interactions. This is due to the control that soil moisture exerts on the latent and sensible heat flux transfer between the land surface and atmosphere. Because of this strong dependence on moisture availability, improved atmospheric prediction requires correct initialisation of soil...

Australian Root Zone Soil Moisture: Assimilation of Remote Sensing Observations

Knowledge of temporal and spatial variation in root zone soil moisture content across Australia is vital for a wide range of environmental and socio-economic activities. However, such information is not currently available, due to an inability to monitor with ground-based point measurement techniques at an appropriate spatial resolution, and the uncertainty associated with land surface model pr...