Jan 01, 2019

The following list of publications provides an overview of the work our team has been involved with, spanning forest and landscape analysis, use of different approaches and sensors and time-series monitoring of landscapes and the development of operational monitoring solutions.

Plantation Monitoring, Forest Dynamics and Modelling

Watt, P.J, Chan, C, McIndoe, C, Yang, Bhandari, S, Tao, K, Penttilä, J. Continuous Forest Resource Monitoring using Cloud Computing and Satellite Data. What on Earth Colloquium, Wellington, New Zealand 2018.

Watt, M.S. Dash, J. P, Watt P.J. S Bhandari (2016). Multi-sensor modelling of a forest productivity index for radiata pine plantations. New Zealand Journal of Forestry Science 46 (1), 1-14 .

Watt, M.S. Dash, J.P, Bhandari, S, Watt P.J. (2015). Characterising forest structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental variables. Forestry.

Watt, M.S. Dash, J.P, Bhandari, S, Watt P.J. (2015). Comparing parametric and non-parametric methods of predicting Site Index for radiata pine using combinations of data derived from environmental surfaces, satellite imagery and airborne laser scanning. Forest Management & Ecology.

Watt, P.J., Meredith, A., Watt, M.S. & Yang, C. (2013). Development of regional models describing Pinus radiata height from satellite imagery. New Zealand Journal of Forest Science.

Watt, P.J. & Watt M.S. (2012). Forest planning applications using high-resolution satellite data. New Zealand Journal of Forestry (57) 1.

Bhandari, S. P., Phinn, S. and Gill, T (2012) Preparing Landsat image time series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia, Remote Sensing volume 4 no 6: 1856-1886.

Bhandari,S. (2011). Monitoring Forest Dynamics using Time Series of Satellite Image Data in Queensland, Australia. PhD Thesis, School of Geography, Planning & Env Management, The University of Queensland.

Landcover Monitoring and Ecosystem Services

Holdaway, A., & Ford, M. (2019). Resolution and scale controls on the accuracy of atoll island shorelines interpreted from satellite imagery. Applied Geomatics, 11(4), 339-352.

Paudyal, K., Baral, H., Bhandari, S. P., Bhandari, A. & Keenan, R. J. (2019). Spatial assessment of the impact of land use and land cover change on supply of ecosystem services in Phewa watershed, Nepal. Ecosystem Services, 36, 100895.

Paudyal, K., Baral, H., Burkhard, B., Bhandari, S. P., & Keenan, R. J. (2015). Participatory assessment and mapping of ecosystem services in a data-poor region: Case study of community-managed forests in central Nepal. Ecosystem services, 13, 81-92.

Bhandari, S. P., Phinn, S. and Gill, T. (2011) Assessing Viewing and Illumination Geometry Effects on the MODIS Vegetation Index (MOD13Q1) Time Series: Implications for Monitoring Phenology and Disturbances in Forest Communities in Queensland, Australia, International Journal of Remote Sensing.

Donoghue, D.N.M., Watt, P.J., Cox, N.J., Dunford, R.W., Wilson, J., Stables, S., & Smith, S. (2004). An evaluation of the use of satellite data for monitoring early development of young Sitka spruce plantation forest growth. Forestry (77) 383–396.

Resource Monitoring using LiDAR

Watt, MS, Meredith, A, Watt, P, & Gunn, A. (2013). Use of LiDAR to estimate stand characteristics for thinning operations in young Douglas-fir plantations. New Zealand Journal of Forestry Science, 43(1), 18.

Watt, M., Adams, T., Watt, P., & Marshall, H. (2013). Influence of stand and site conditions on the quality of digital elevation models. New Zealand Journal of Forestry Science.

Watt, P.J. & Watt M.S. (2013). Development of a national model of tree volume from LiDAR metrics for New Zealand. International Journal of Remote Sensing. 34 (16), 5892-5904.

Donoghue, D.N.M., Watt, P.J., Cox, N.J, & Wilson, J. (2007). Remote sensing of species mixtures in conifer plantations using LiDAR height and intensity data. Remote Sensing of Environment 110 (4) 509-522.

Watt, P.J. (2005). An evaluation of LiDAR and optical satellite data for the measurement of structural attributes in British upland conifer plantation forestry. Doctoral thesis. Department of Geography, University of Durham, England.

Watt, P.J. & Donoghue, D.N.M. (2005). Measuring forest structure with terrestrial laser scanning, International Journal of Remote Sensing 26 (7): 1437-1446.

National Monitoring

Holdaway, A., Ford, M., & Owen, S. (2021). Global-scale changes in the area of atoll islands during the 21st century. Anthropocene, 33, 100282.

Brown, S; Mahmood, J; Goslee, K; Pearson, T; Sukhdeo, H; Donoghue, D; Watt, P (2020). Accounting for Greenhouse Gas Emissions from Forest Edge Degradation: Gold Mining in Guyana as a Case Study. Forests 11 (12), 1307

Dewnath, N; Bholanath, P; R Rivas Palma; Freeman, B; Watt, P. (2020). Using Guyana’s monitoring reporting & verification system to guide national forest management & decision making. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLII-3/W11, : 43-50.

Galiatsatos, N, Donoghue, D.N.M, Watt, P, Bholanath, P, Pickering, J, Mahmood, A.R.J. (2020). An assessment of global forest change datasets for national forest monitoring and reporting. Remote Sensing. 12(11), 1790.

GFOI Integrating remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: Methods and Guidance from the Global Forest Observations Initiative: Pub: Group on Earth Observations, Geneva, Switzerland, 2020 (Version 3).

Persaud, H; Thomas, R; Bholanath, P; Smartt, T; Watt, P. (2020. Object-based image analysis approach to determine the fallow periods for shifting cultivation in indigenous communities in Guyana. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLII-3/W11, : 131-136.

Watt, P; Bholanath, P; Dewnath, N; Smartt, T; Chan, C, Donoghue, D.N.M. (2020). Interoperability of various data streams within Guyana’s MRV System. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLII-3/W11, : 147-154

Pickering, J, Stehman, S, Tyukavina, A, Potapov, P, Watt, P, Jantz S, Bholanath, P, Hansen, C. (2019). Quantifying the trade-off between cost and precision in estimating area of forest loss and degradation using probability sampling in Guyana. Remote Sensing of Environment 221, 122-135.

Dymond, J.R., Shepherd, J.D., Newsome, P.F., Gapare, N., Burgess, D.W., & Watt, P.J. (2012). Remote sensing of land-use change for Kyoto Protocol reporting: the New Zealand case. Environmental Science & Policy (16) 1-8.