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Dr Jim Watson
Dr

Jim Watson

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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

1 - 20 of 63 works

Featured

2014

Journal Article

Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model

Watson, James, Challinor, Andrew J., Fricker, Thomas E. and Ferro, Christopher A. T. (2014). Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model. Climatic Change, 132 (1), 93-109. doi: 10.1007/s10584-014-1264-3

Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model

Featured

2014

Journal Article

A meta-analysis of crop yield under climate change and adaptation

Challinor, A. J., Watson, J., Lobell, D. B., Howden, S. M., Smith, D. R. and Chhetri, N. (2014). A meta-analysis of crop yield under climate change and adaptation. Nature Climate Change, 4 (4), 287-291. doi: 10.1038/nclimate2153

A meta-analysis of crop yield under climate change and adaptation

Featured

2014

Book Chapter

Food security and food production systems

Porter, John R., Xie, Liyong, Challinor, Andrew J., Cochrane, Kevern, Howden, S. Mark, Iqbal, Muhammad Mohsin, Lobell, David B., Travasso, Maria Isabel, Netra Chhetri, Netra Chhetri, Garrett, Karen, Ingram, John, Lipper, Leslie, McCarthy, Nancy, McGrath, Justin, Smith, Daniel, Thornton, Philip, Watson, James and Ziska, Lewis (2014). Food security and food production systems. Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. (pp. 485-533) edited by Christopher B. Field, Vicente R. Barros, David Jon Dokken, Katharine J. Mach, Michael D. Mastrandrea, T. Eren Bilir, Monalisa Chatterjee, Kristie L. Ebi, Yuka Otsuki Estrada, Robert C. Genova, Betelhem Girma, Eric S. Kissel, Andrew N. Levy, Sandy MacCracken and Patricia R. Mastrandrea. New York, United States: Cambridge University Press.

Food security and food production systems

Featured

2013

Journal Article

The relative importance of rainfall, temperature and yield data for a regional-scale crop model

Watson, James and Challinor, Andrew (2013). The relative importance of rainfall, temperature and yield data for a regional-scale crop model. Agricultural and Forest Meteorology, 170, 47-57. doi: 10.1016/j.agrformet.2012.08.001

The relative importance of rainfall, temperature and yield data for a regional-scale crop model

Featured

2005

Conference Publication

Patterns in complex systems modeling

Wiles, Janet and Watson, James (2005). Patterns in complex systems modeling. Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2005), Brisbane, Australia, 6-8 July 2005. Berlin, Germany: Springer-Verlag. doi: 10.1007/11508069_69

Patterns in complex systems modeling

2024

Journal Article

The political economy of electricity system resource adequacy and renewable energy integration: A comparative study of Britain, Italy and California

Ragosa, Giulia, Watson, Jim and Grubb, Michael (2024). The political economy of electricity system resource adequacy and renewable energy integration: A comparative study of Britain, Italy and California. Energy Research & Social Science, 107 103335. doi: 10.1016/j.erss.2023.103335

The political economy of electricity system resource adequacy and renewable energy integration: A comparative study of Britain, Italy and California

2022

Journal Article

Africa needs context-relevant evidence to shape its clean energy future

Mulugetta, Yacob, Sokona, Youba, Trotter, Philipp A., Fankhauser, Samuel, Omukuti, Jessica, Croxatto, Lucas Somavilla, Steffen, Bjarne, Tesfamichael, Meron, Abraham, Edo, Adam, Jean-Paul, Agbemabiese, Lawrence, Agutu, Churchill, Aklilu, Mekalia Paulos, Alao, Olakunle, Batidzirai, Bothwell, Bekele, Getachew, Dagnachew, Anteneh G., Davidson, Ogunlade, Denton, Fatima, Diemuodeke, E. Ogheneruona, Egli, Florian, Gebresilassie, Eshetu Gebrekidan, Gebreslassie, Mulualem, Goundiam, Mamadou, Gujba, Haruna Kachalla, Hailu, Yohannes, Hawkes, Adam D., Hirmer, Stephanie, Hoka, Helen ... Yussuff, Abdulmutalib (2022). Africa needs context-relevant evidence to shape its clean energy future. Nature Energy, 7 (11), 1015-1022. doi: 10.1038/s41560-022-01152-0

Africa needs context-relevant evidence to shape its clean energy future

2022

Journal Article

Groundwater resource management during construction dewatering

Watson, James, Thomas, Stephen and Goodfellow, Thomas (2022). Groundwater resource management during construction dewatering. Sustainable Water Resources Management, 8 (4) 91. doi: 10.1007/s40899-022-00678-1

Groundwater resource management during construction dewatering

2022

Journal Article

Mexico's renewable energy innovation system: Geothermal and solar photovoltaics case study

Fernandez, Andres de Jesus and Watson, Jim (2022). Mexico's renewable energy innovation system: Geothermal and solar photovoltaics case study. Environmental Innovation and Societal Transitions, 43, 200-219. doi: 10.1016/j.eist.2022.04.004

Mexico's renewable energy innovation system: Geothermal and solar photovoltaics case study

2022

Conference Publication

A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields

Das, Sumanta, Massey-Reed, Sean Reynolds, Mahuika, Jenny, Watson, James, Cordova, Celso, Otto, Loren, Zhao, Yan, Chapman, Scott, George-Jaeggli, Barbara, Jordan, David, Hammer, Graeme L. and Potgieter, Andries B. (2022). A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IGARSS46834.2022.9884530

A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields

2021

Journal Article

Can low-income countries leapfrog to clean energy technologies?

Watson, Jim (2021). Can low-income countries leapfrog to clean energy technologies?. New Scientist, 245 (3346), 23-23.

Can low-income countries leapfrog to clean energy technologies?

2020

Journal Article

High-throughput phenotyping of dynamic canopy traits associated with stay-green in grain sorghum

Liedtke, J. D., Hunt, C. H., George-Jaeggli, B., Laws, K., Watson, J., Potgieter, A. B., Cruickshank, A. and Jordan, D. R. (2020). High-throughput phenotyping of dynamic canopy traits associated with stay-green in grain sorghum. Plant Phenomics, 2020 4635153, 1-10. doi: 10.34133/2020/4635153

High-throughput phenotyping of dynamic canopy traits associated with stay-green in grain sorghum

2019

Book Chapter

The use of hyperspectral proximal sensing for phenotyping of plant breeding trials

Potgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781315164151-5

The use of hyperspectral proximal sensing for phenotyping of plant breeding trials

2019

Conference Publication

High-throughput phenotyping of canopy radiation use efficiency and its component traits

George-Jaeggli, Barbara, Potgieter, Andries, Zhi, Xiaoyu, Reynolds Massey-Reed, Sean, Watson, James, Lamprecht, Marnie, Chapman, Scott, Laws, Kenneth, Hunt, Colleen, Borrell, Andrew, Jordan, David, van Oosterom, Erik, Wu, Alex and Hammer, Graeme (2019). High-throughput phenotyping of canopy radiation use efficiency and its component traits. 6th International Plant Phenotyping Symposium, Nanjing, China, 22-26 October 2019.

High-throughput phenotyping of canopy radiation use efficiency and its component traits

2019

Conference Publication

High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level

George-Jaeggli, Barbara, Potgieter, Andries, Zhi, Xiaoyu, Reynolds Massey-Reed, Sean, Watson, James, Lamprecht, Marnie, Chapman, Scott, Laws, Kenneth, Hunt, Colleen, Borrell, Andrew, Jordan, David, van Oosterom, Erik, Wu, Alex and Hammer, Graeme (2019). High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level. TropAg 2019, Brisbane, QLD Australia, 10-13 November 2019.

High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level

2019

Conference Publication

Seeing canopy photosynthesis through the eyes of a Gecko

George-Jaeggli, Barbara, Zhi, Xiaoyue, Wu, Alex, Potgieter, Andries, Reynolds Massey-Reed, Sean, Watson, James, Hunt, Colleen, Lamprecht, Marnie, Chapman, Scott, Borrell, Andrew, Jordan, David and Hammer, Graeme (2019). Seeing canopy photosynthesis through the eyes of a Gecko. Innovations in Agriculture for Food Security, Brisbane, QLD Australia, 30 June - 3 July 2019.

Seeing canopy photosynthesis through the eyes of a Gecko

2019

Conference Publication

Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials

Potgieter, Andries, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Guo, Wei, Watson, James, Reynolds Massey-Reed, Sean, Chapman, Scott, Hammer, Graeme and Jordan, David (2019). Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials. Australian Summer Grains Conference, Gold Coast, QLD, Australia, 8-10 July 2019.

Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials

2019

Conference Publication

Genotype and management adaptation of wheat to heat and drought in current and future climates

Chenu, Karine, Ababaei, Behnam, Watson, James and Chapman, Scott (2019). Genotype and management adaptation of wheat to heat and drought in current and future climates. International Tropical Agriculture Conference (TropAg2019), Brisbane, QLD Australia, 11-13 November 2019.

Genotype and management adaptation of wheat to heat and drought in current and future climates

2018

Journal Article

Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy

Guo, Wei, Zheng, Bangyou, Potgieter, Andries B., Diot, Julien, Watanabe, Kakeru, Noshita, Koji, Jordan, David R., Wang, Xuemin, Watson, James, Ninomiya, Seishi and Chapman, Scott C. (2018). Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy. Frontiers in Plant Science, 9 1544, 1544. doi: 10.3389/fpls.2018.01544

Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy

2018

Conference Publication

An integrated sensing platform to map the genetic loci associated with canopy radiation use efficiency in sorghum

George-Jaeggli, Barbara, Watson, James and Potgieter, Andries (2018). An integrated sensing platform to map the genetic loci associated with canopy radiation use efficiency in sorghum. Combio, Sydney, Australia, 23-26 September 2018.

An integrated sensing platform to map the genetic loci associated with canopy radiation use efficiency in sorghum

Supervision

Availability

Dr Jim Watson is:
Available for supervision

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Media

Enquiries

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