World's Best Scientists 2026 revealed!
Michael S. Watt

Michael S. Watt

D-Index & Metrics

Plant Science and Agronomy

D-Index
41
Citations
5787
World Ranking
3745
National Ranking
43

Environmental Sciences

D-Index
42
Citations
5930
World Ranking
7476
National Ranking
45

Overview

Michael S. Watt is affiliated with Scion in New Zealand and has contributed extensively to the field of environmental science, with a focus on ecological and remote sensing applications. Their research spans several subfields, including ecology, global and planetary change, environmental engineering, nature and landscape conservation, and plant science.

The scientist's work covers a broad range of topics related to forest and wetland ecosystems, remote sensing technologies, and environmental management. The main topics of their research include:

  • Remote Sensing and LiDAR Applications
  • Forest Ecology and Management
  • Remote Sensing in Agriculture
  • Forest Management and Policy
  • Coastal Wetland Ecosystem Dynamics
  • Forest Ecology and Biodiversity Studies
  • Leaf Properties and Growth Measurement

Michael S. Watt's publication record includes contributions to a variety of journals, with frequent publications in:

  • Remote Sensing (13 publications)
  • Forests (11 publications)
  • Forest Ecology and Management (7 publications)
  • SSRN Electronic Journal (5 publications)
  • Journal of Environmental Management (3 publications)

The scientist has collaborated regularly with several co-authors, including:

  • Midhun Mohan (21 collaborations)
  • Meshal M. Abdullah (12 collaborations)
  • Robin J. L. Hartley (12 collaborations)
  • Benjamin S.C. Steer (12 collaborations)
  • Grant D. Pearse (11 collaborations)

Some notable recent papers authored or co-authored by Michael S. Watt include:

  • "Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Ecotourism and mangrove conservation in Southeast Asia: Current trends and perspectives," 2024, Journal of Environmental Management
  • "An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials," 2020, Remote Sensing
  • "Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review," 2023, Frontiers in Marine Science
  • "Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review," 2024, The Science of The Total Environment

Best Publications

  • Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak

    Jonathan P. Dash;Michael S. Watt;Grant D. Pearse;Marie Heaphy

  • Influence of initial planting spacing and genotype on microfibril angle, wood density, fibre properties and modulus of elasticity in Pinus radiata D. Don corewood

    Jean-Pierre Lasserre;Euan G. Mason;Michael S. Watt;John R. Moore

  • The hosts and potential geographic range of Dothistroma needle blight

    Michael S. Watt;Darren J. Kriticos;Samantha Alcaraz;Anna V. Brown

  • UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health

    Jonathan P. Dash;Grant D. Pearse;Michael S. Watt

  • Above-ground biomass accumulation and nitrogen fixation of broom (Cytisus scoparius L.) growing with juvenile Pinus radiata on a dryland site

    Michael S. Watt;Peter W. Clinton;David Whitehead;Brian Richardson

  • The effects of genotype and spacing on Pinus radiata [D. Don] corewood stiffness in an 11-year old experiment

    Jean-Pierre Lasserre;Euan G. Mason;Michael S. Watt

  • The influence of weed competition for light and water on growth and dry matter partitioning of young Pinus radiata, at a dryland site

    Michael S. Watt;David Whitehead;Euan G. Mason;Brian Richardson

  • Modelling the influence of stand structural, edaphic and climatic influences on juvenile Pinus radiata dynamic modulus of elasticity

    Michael S. Watt;John R. Moore;Jean-Philippe Façon;Geoff M. Downes

  • The Invasive Buddleja davidii (Butterfly Bush)

    Nita G. Tallent-Halsell;Nita G. Tallent-Halsell;Michael S. Watt

  • Defining sustainability of plantation forests through identification of site quality indicators influencing productivity--A national view for New Zealand.

    Michael S. Watt;Graham Coker;Peter W. Clinton;Murray R. Davis

  • Development of models to predict Pinus radiata productivity throughout New Zealand

    Michael S. WattM.S. Watt;Michael S. WattM.S. Watt;David J. PalmerD.J. Palmer;David J. PalmerD.J. Palmer;Mark O. KimberleyM.O. Kimberley;Mark O. KimberleyM.O. Kimberley;Barbara K. HöckB.K. Höck;Barbara K. HöckB.K. Höck

  • A global climatic risk assessment of pitch canker disease.

    Rebecca J. GanleyR.J. Ganley;Michael S. WattM.S. Watt;Lucy ManningL. Manning;Eugenia IturritxaE. Iturritxa

  • Dothistroma needle blight and pitch canker: the current and future potential distribution of two important diseases of Pinus species

    Michael S. WattM.S. Watt;Michael S. WattM.S. Watt;Rebecca J. GanleyR.J. Ganley;Rebecca J. GanleyR.J. Ganley;Darren J. KriticosD.J. Kriticos;Darren J. KriticosD.J. Kriticos;Lucy K. ManningL.K. Manning;Lucy K. ManningL.K. Manning

  • The influence of nitrogen and phosphorus supply and genotype on mesophyll conductance limitations to photosynthesis in Pinus radiata

    Horacio E. Bown;Michael S. Watt;Euan G. Mason;Peter W. Clinton

  • Quantitative validation and comparison of a range of forest growth model types

    Guy Pinjuv;Euan G. Mason;Mike Watt

  • Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data

    Grant D. Pearse;Alan Y.S. Tan;Michael S. Watt;Matthias O. Franz

  • The current and future potential distribution of Cytisus scoparius: a weed of pastoral systems, natural ecosystems and plantation forestry

    K J B Potter;K J B Potter;D J Kriticos;M S Watt;A Leriche

  • What determines pine naturalization: species traits, climate suitability or forestry use?

    Kirsty F. McGregor;Michael S. Watt;Philip E. Hulme;Richard P. Duncan

  • Ecosystem carbon accretion 10 years after afforestation of depleted subhumid grassland planted with three densities of Pinus nigra

    Murray Davis;Alan Nordmeyer;David Henley;Michael Watt

  • Managing invasive weeds under climate change: considering the current and potential future distribution of Buddleja davidii

    D J Kriticos;D J Kriticos;M S Watt;K J B Potter;L K Manning

  • Influence of initial stand density and genotype on longitudinal variation in modulus of elasticity for 17-year-old Pinus radiata

    Matthew J. Waghorn;Euan G. Mason;Michael S. Watt

  • Comparison of spatial prediction techniques for developing Pinus radiata productivity surfaces across New Zealand

    David John Palmer;David John Palmer;Barbara K. Hock;Mark O. Kimberley;Michael S. Watt

  • Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data

    Jonathan P. Dash;Michael S. Watt;Thomas S. H. Paul;Justin Morgenroth

  • The influence of wind on branch characteristics of Pinus radiata

    M. S. Watt;J. R. Moore;B. McKinlay

  • Assessing corewood acoustic velocity and modulus of elasticity with two impact based instruments in 11-year-old trees from a clonal-spacing experiment of Pinus radiata D. Don

    Jean-Pierre Lasserre;Euan G. Mason;Michael S. Watt

  • Moving beyond simple linear allometric relationships between tree height and diameter

    Michael S. Watt;Miko U.F. Kirschbaum

Frequent Co-Authors

Darren J. Kriticos
Darren J. Kriticos Commonwealth Scientific and Industrial Research Organisation
David Whitehead
David Whitehead Landcare Research
Roger L. Parfitt
Roger L. Parfitt Landcare Research
David J. Lowe
David J. Lowe University of Waikato
Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Alastair W. Robertson
Alastair W. Robertson Massey University
Eckehard G. Brockerhoff
Eckehard G. Brockerhoff Swiss Federal Institute for Forest, Snow and Landscape Research
Miko U. F. Kirschbaum
Miko U. F. Kirschbaum Landcare Research

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