Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning

In this article, our aim is to estimate synthetic aperture radar (SAR) observables, such as backscatter in VV and VH polarizations, as well as the VH/VV ratio, cross ratio, and interferometric coherence in VV, from agricultural fields. In this study, we use the decision support system for agrotechnology transfer (DSSAT) crop-growth simulation...

Achieving Informed Decision-Making using Building Performance Simulation

Building performance simulation (BPS) is the basis for informed decision-making of Net Zero Energy Buildings (NZEBs) design. This paper aims to investigate the use of building performance simulation tools as a method of informing the design decision of NZEBs. The aim of this study is to evaluate the effect of a simulationbased decision aid, ZEBO...

Gaming and simulation for transforming and reengineering government: Towards a research agenda

Purpose – In the process of transformation, governments have to deal with a host of stakeholders and complex organizational and technical issues. In this viewpoint paper, an argument is made in favour of using gaming and simulation as tools designed to aid the transformation and reengineering of government. Based on the argument, a research...

The DSOL simulation suite: Enabling multi-formalism simulation in a distributed context

In this thesis the development of a java-based, simulation environment is presented. The core concepts are to support multiple decision makers in a distributed context with multiple continuous and discrete formalisms. The environment is named DSOL and is published under the open source LGPL licence