STAFF PROFILE
Mr. Samuel Hislop
Position:
Research Fellow (Advanced)
College / Portfolio:
STEM College
School / Department:
STEM|School of Science
Email:
samuel.hislop@rmit.edu.au
Campus:
City Campus
- Huettermann, S.,Jones, S.,Soto-Berelov, M.,Hislop, S. (2022). Intercomparison of Real and Simulated GEDI Observations across Sclerophyll Forests In: Remote Sensing, 14, 1 - 16
- Hislop, S.,Haywood, A.,Alaibakhsh, M.,Nguyen, T.,Soto-Berelov, M.,Jones, S.,Stone, C. (2021). A reference data framework for the application of satellite time series to monitor forest disturbance In: International Journal of Applied Earth Observation and Geoinformation, 105, 1 - 12
- Nguyen, T.,Jones, S.,Soto-Berelov, M.,Haywood, A.,Hislop, S. (2020). Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data In: International Journal of Applied Earth Observation and Geoinformation, 84, 1 - 15
- Nguyen, T.,Jones, S.,Soto-Berelov, M.,Haywood, A.,Hislop, S. (2020). Landsat time-series for estimating forest aboveground biomass and its dynamics across space and time: A review In: Remote Sensing, 12, 1 - 25
- Hislop, S.,Haywood, A.,Jones, S.,Soto-Berelov, M.,Skidmore, A.,Nguyen, T. (2020). A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests In: International Journal of Applied Earth Observation and Geoinformation, 87, 1 - 14
- Hislop, S.,Jones, S.,Soto-Berelov, M.,Skidmore, A.,Haywood, A.,Nguyen, T. (2019). A fusion approach to forest disturbance mapping using time-series ensemble techniques In: Remote Sensing of Environment, 221, 188 - 197
- Hislop, S.,Jones, S.,Soto-Berelov, M.,Skidmore, A.,Haywood, A.,Nguyen, T. (2019). High fire disturbance in forests leads to longer recovery, but varies by forest type In: Remote Sensing in Ecology and Conservation, 5, 1 - 13
- Nguyen, T.,Jones, S.,Soto-Berelov, M.,Haywood, A.,Hislop, S. (2018). A comparison of imputation approaches for estimating forest biomass using Landsat time-series and inventory data In: Remote Sensing, 10, 1 - 22
- Soto-Berelov, M.,Haywood, A.,Jones, S.,Hislop, S.,Nguyen, T. (2018). Creating robust reference (training) datasets for large area time series disturbance attribution In: Remote Sensing Time Series Image Processing, CRC Press, Boca Raton, United States
- Hislop, S.,Jones, S.,Soto-Berelov, M.,Skidmore, A.,Haywood, A.,Nguyen, T. (2018). A new semi-automatic seamless cloud-free landsat mosaicking approach tracks forest change over large extents In: Proceedings of the 38th International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Spain, 22-27 July 2018
1 PhD Current Supervisions