Enabling Stakeholder Decision-Making With Earth Observation and Modeling Data Using Tethys Platform

Data assimilation: making sense of Earth Observation

*Correspondence: William A. Lahoz, INBY, NILU – Norwegian Institute for Air Research, Instituttveien 18, PO Box 100, Kjeller 2027, Norway e-mail: [email protected] Climate change, air quality, and environmental degradation are important societal challenges for the Twenty-first Century. These challenges require an intelligent response from society, which in turn requires access to information about th...

Modeling Earth Observation Satellite Data Semantically

This paper presents preliminary research results on using semantic technologies to model Earth observation satellite data. The research goal is to enhance the data search functionalities that satellite data catalogues provide to researchers and practitioners. An ontology that captures characteristics of satellite data is introduced. How to utilize this ontology in assisting data search and how ...

The Role of Spatial Data Infrastructures in Establishing an Enabling Platform for Decision Making in Australia

Computational modeling of dynamic decision making using connectionist networks

In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decisio...

Cluster Design in the Earth Sciences Tethys