Skip to menu Skip to content Skip to footer
Dr Jim Watson
Dr

Jim Watson

Email: 

Overview

Background

Dr Jim Watson is Principal Scientist (Remote Sensing) at the New South Wales Department of Planning and Environment, and a member of the Joint Remote Sensing Research Program (https://www.jrsrp.org.au/).

He designs and leads research projects for monitoring native vegetation, with a focus on algorithms for extracting information from satellite datasets and aerial photography.

Jim received a PhD in Computer Science from the University of Queensland. He has previously worked on the statistical inference of network interactions at the School of Computing (University of Leeds, United Kingdom), crop-climate modelling at the Institute for Climate and Atmospheric Science (University of Leeds), and agricultural proximal sensing at the Queensland Alliance for Agriculture and Food Innovation (University of Queensland).

He is a contributing author of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (AR5), has developed a number of novel feature detection algorithms, and is experienced in high performance computing.

Availability

Dr Jim Watson is:
Available for supervision

Qualifications

  • Doctor of Philosophy, The University of Queensland

Research interests

  • Remote Sensing

    I am currently investigating methods for analysing land use history from Landsat and Sentinel satellite data.

Works

Search Professor Jim Watson’s works on UQ eSpace

63 works between 2001 and 2024

41 - 60 of 63 works

2014

Conference Publication

Exploring synergies in field, regional and global yield impact studies

Koehler, Ann-Kristin, Challinor, Andrew and Watson, James (2014). Exploring synergies in field, regional and global yield impact studies. CropM International Symposium and Workshop, Oslo, Norway, 10-12 February 2014. Oslo, Norway: FACCE MACSUR.

Exploring synergies in field, regional and global yield impact studies

2014

Conference Publication

Measuring the impact of climate and yield data errors on regional scale crop models

Watson, James and Challinor, Andrew (2014). Measuring the impact of climate and yield data errors on regional scale crop models. CropM International Symposium and Workshop, Oslo, Norway, 10-12 February 2014. Oslo, Norway: FACCE MACSUR.

Measuring the impact of climate and yield data errors on regional scale crop models

2013

Conference Publication

Towards metrics for using process-based and statistical models to project regional-scale crop responses to climate

Watson, James and Challinor, Andrew (2013). Towards metrics for using process-based and statistical models to project regional-scale crop responses to climate. European Geosciences Union General Assembly 2013, Vienna, Austria, 7-12 April 2013.

Towards metrics for using process-based and statistical models to project regional-scale crop responses to climate

2011

Conference Publication

Quantifying the impact of input data uncertainties in regional scale crop-climate modeling

Watson, James and Challinor, Andrew (2011). Quantifying the impact of input data uncertainties in regional scale crop-climate modeling. American Geophysical Union (AGU) Fall Meeting 2011, San Francisco, CA, USA, 5-9 December, 2011.

Quantifying the impact of input data uncertainties in regional scale crop-climate modeling

2011

Conference Publication

Towards improved crop-climate projections: the role of calibration and weather data

Challinor, Andrew, Hawkins, Ed and Watson, James (2011). Towards improved crop-climate projections: the role of calibration and weather data. American Geophysical Union, Fall Meeting 2011, San Francicso, CA, United States, 5-9 December 2011.

Towards improved crop-climate projections: the role of calibration and weather data

2008

Journal Article

Software engineering for artificial life, complex systems, and agent-based distillation

Watson, James, Abbass, Hussein A., Lokan, Chris and Lindsay, Peter (2008). Software engineering for artificial life, complex systems, and agent-based distillation. Complexity International, 12, 1-13.

Software engineering for artificial life, complex systems, and agent-based distillation

2008

Journal Article

Modeling the fitness of plant morphologies across three levels of complexity

Watson, James, Hanan, Jim and Wiles, Janet (2008). Modeling the fitness of plant morphologies across three levels of complexity. Biosystems, 94 (1-2), 182-190. doi: 10.1016/j.biosystems.2008.05.023

Modeling the fitness of plant morphologies across three levels of complexity

2007

Conference Publication

Computational techniques for modeling complex biological systems

Watson, James, Wakabayashi, Mark, Moore, Jared, Sanin Montoya, Andres, Willadsen, Kai, Geard, Nic, Bradley, Daniel and Wiles, Janet (2007). Computational techniques for modeling complex biological systems. Complex 07: 8th Asia-Pacific Complex Systems Conference, Gold Coast, QLD, Australia, 2-5 July, 2007. Canberra, ACT, Australia: COSNet.

Computational techniques for modeling complex biological systems

2007

Conference Publication

Interactively exploring distributed computational models of biology

Watson, James and Wiles, Janet (2007). Interactively exploring distributed computational models of biology. Complex 07: 8th Asia-Pacific Complex Systems Conference, Gold Coast, QLD, Australia, 2-5 July, 2007. Canberra, ACT, Australia: COSNet.

Interactively exploring distributed computational models of biology

2007

Conference Publication

Dsweep: A lightweight tool for distributed parameter sweeps

Watson, J., Maetschke, S. and Wiles, J. (2007). Dsweep: A lightweight tool for distributed parameter sweeps. Seventh International Workshop on Information Processing in Cells and Tissues (IPCAT 2007), Oxford, United Kingdom, 29-31 August 2007. Brno, Czech Republic: Tribun EU.

Dsweep: A lightweight tool for distributed parameter sweeps

2006

Other Outputs

From genotypes to phenotypes and back again : modeling the interaction between individual behaviour and evolution

Watson, James Robert (2006). From genotypes to phenotypes and back again : modeling the interaction between individual behaviour and evolution. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/158254

From genotypes to phenotypes and back again : modeling the interaction between individual behaviour and evolution

2005

Book Chapter

Towards a network pattern language for complex systems

Watson, J., Hawkins, J., Bradley, D., Dassanayake, D., Wiles, J. and Hanan, J. (2005). Towards a network pattern language for complex systems. Recent Advances In Artificial Life. (pp. 309-317) Shatin, Hong Kong: World Scientific Publishing. doi: 10.1142/9789812701497_0023

Towards a network pattern language for complex systems

2005

Conference Publication

There's more to a model than code: understanding and formalizing in silico modeling experience

Wiles, Janet, Geard, Nicholas L., Watson, James, Willadsen, Kai, Mattick, John, Bradley, Daniel and Hallinan, Jennifer (2005). There's more to a model than code: understanding and formalizing in silico modeling experience. GECCO'05: The Genetic and Evolutionary Computation Conference 2005, Washington, DC, USA, 25-29 June, 2005. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/1102256.1102318

There's more to a model than code: understanding and formalizing in silico modeling experience

2005

Conference Publication

Towards a network pattern language for complex systems

Watson, J. R., Hawkins, J. C., Bradley, D. R., Dassanayake, D., Wiles, J. H. and Hanan, J. S. (2005). Towards a network pattern language for complex systems. Australian Conference on Artificial Life (ACAL'05), Sydney, Australia, 5-9 December 2005. Singapore: World Scientific Publishing.

Towards a network pattern language for complex systems

2005

Journal Article

Transient phenomena in learning and evolution: genetic assimilation and genetic redistribution

Wiles, Janet, Watson, James, Tonkes, Bradley and Deacon, Terrence (2005). Transient phenomena in learning and evolution: genetic assimilation and genetic redistribution. Artificial Life, 11 (1-2), 177-188. doi: 10.1162/1064546053279026

Transient phenomena in learning and evolution: genetic assimilation and genetic redistribution

2004

Journal Article

Towards More Biological Mutation Operators in Gene Regulation Studies

Watson, James, Geard, Nicholas and Wiles, Janet (2004). Towards More Biological Mutation Operators in Gene Regulation Studies. BioSystems, 76 (1-3), 239-248. doi: 10.1016/j.biosystems.2004.05.016

Towards More Biological Mutation Operators in Gene Regulation Studies

2004

Conference Publication

Software engineering for artificial life, complex systems, and agent-based distillation

Watson, J. R., Abbass, H., Lokan, C. and Lindsay, P. A. (2004). Software engineering for artificial life, complex systems, and agent-based distillation. The Seventh Asia-Pacific Conference on Complex Systems, Cairns, 6-10 December, 2004. Rockhampton: Central Queensland University.

Software engineering for artificial life, complex systems, and agent-based distillation

2003

Conference Publication

Towards More Relevant Evolutionary Models: Integrating an Artificial Genome With a Developmental Phenotype

Watson, James, Wiles, Janet and Hanan, Jim (2003). Towards More Relevant Evolutionary Models: Integrating an Artificial Genome With a Developmental Phenotype. The 1st Australian Conference on Artificial Life (ACAL 2003), Canberra, Australia, 6-7 December, 2003. Canberra, Australia: The University of New South Wales.

Towards More Relevant Evolutionary Models: Integrating an Artificial Genome With a Developmental Phenotype

2002

Conference Publication

Stability and Task Complexity: A Neural Network Model of Evolution and Learning

Watson, James, Geard, Nicholas and Wiles, Janet H. (2002). Stability and Task Complexity: A Neural Network Model of Evolution and Learning. The 8th International Conference on Artificial Life (Artificial Life VIII), Sydney, Australia, 9-13 December, 2002. Cambridge, Massachusetts: The MIT Press.

Stability and Task Complexity: A Neural Network Model of Evolution and Learning

2002

Conference Publication

The rise and fall of learning: A neural network model of the genetic assimilation of aquired traits

Watson, J. R. and Wiles, J. H. (2002). The rise and fall of learning: A neural network model of the genetic assimilation of aquired traits. 2002 Congress on Evolutionary Computation, Hawaii, 12-17 May, 2002. Piscataway, NJ: The Institute of Electrical and Electronics Engineers.

The rise and fall of learning: A neural network model of the genetic assimilation of aquired traits

Supervision

Availability

Dr Jim Watson is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Media

Enquiries

For media enquiries about Dr Jim Watson's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au