Simon D. Jones
Orcid: 0000-0002-3914-3717
According to our database1,
Simon D. Jones
authored at least 66 papers
between 2010 and 2024.
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Bibliography
2024
A New Method to Estimate the Point Spread Function of Satellite Imagers From Edge Measurements.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
A New Spatio-Temporal Selection Method for Estimating Upwelling Medium-Wave Radiation.
Remote. Sens., July, 2023
Up-Scaling Fuel Hazard Metrics Derived from Terrestrial Laser Scanning Using a Machine Learning Model.
Remote. Sens., March, 2023
One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023
A New Methodology to Assess Spatial Response Models for Satellite Imagers Using the Optical Design Parameters of a Generic Sensor as Independent Variables.
IEEE Trans. Geosci. Remote. Sens., 2023
The Effect of Surrounding Vegetation on Basal Stem Measurements Acquired Using Low-Cost Depth Sensors in Urban and Native Forest Environments.
Sensors, 2023
2022
Remote. Sens., 2022
Combining Object-Based Machine Learning with Long-Term Time-Series Analysis for Informal Settlement Identification.
Remote. Sens., 2022
Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI).
Remote. Sens., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
A Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data.
IEEE Trans. Geosci. Remote. Sens., 2021
Remote. Sens., 2021
Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites.
Remote. Sens., 2021
A reference data framework for the application of satellite time series to monitor forest disturbance.
Int. J. Appl. Earth Obs. Geoinformation, 2021
A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review.
Remote. Sens., 2020
Int. J. Digit. Earth, 2020
Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
A Method for Validating the Structural Completeness of Understory Vegetation Models Captured with 3D Remote Sensing.
Remote. Sens., 2019
Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data.
Int. J. Digit. Earth, 2019
Mapping informal settlement indicators using object-oriented analysis in the Middle East.
Int. J. Digit. Earth, 2019
Estimate Forest Biomass Dynamics Using Multi-Temporal Lidar And Single-Date Inventory Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data.
Remote. Sens., 2018
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery.
Remote. Sens., 2018
Estimating Fire Background Temperature at a Geostationary Scale - An Evaluation of Contextual Methods for AHI-8.
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A New Semi-Automatic Seamless Cloud-Free Landsat Mosaicing Approach Tracks Forest Change Over Large Extents.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The Potential of Sentinel Satellites for Large Area Aboveground Forest Biomass Mapping.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation.
Remote. Sens., 2017
2016
Development of a Multi-Spatial Resolution Approach to the Surveillance of Active Fire Lines Using Himawari-8.
Remote. Sens., 2016
Remote. Sens., 2016
An Assessment of Pre- and Post Fire Near Surface Fuel Hazard in an Australian Dry Sclerophyll Forest Using Point Cloud Data Captured Using a Terrestrial Laser Scanner.
Remote. Sens., 2016
2015
Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data.
Remote. Sens., 2015
Towards an Interoperable Field Spectroscopy Metadata Standard with Extended Support for Marine Specific Applications.
Remote. Sens., 2015
Assessing Metrics for Estimating Fire Induced Change in the Forest Understorey Structure Using Terrestrial Laser Scanning.
Remote. Sens., 2015
The impact of size variations in the ground instantaneous field of view of pixels on MODIS BRDF modelling.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Nexus of Health and Development: Modelling Crude Birth Rate and Maternal Mortality Ratio Using Nighttime Satellite Images.
ISPRS Int. J. Geo Inf., 2014
Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the Geospatial Science Research 3 Symposium, 2014
2013
The Performance of Random Forests in an Operational Setting for Large Area Sclerophyll Forest Classification.
Remote. Sens., 2013
The impact of sensor characteristics for obtaining accurate ground-based measurements of LAI.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Woody vegetation landscape feature generation from multispectral and LiDAR data (A CRCSI 2.07 woody attribution paper).
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
A collaborative framework for vegetated systems research: A perspective from Victoria, Australia.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Hyperspectral determination of feed quality constituents in temperate pastures: Effect of processing methods on predictive relationships from partial least squares regression.
Int. J. Appl. Earth Obs. Geoinformation, 2012
Comparison of MODIS and bird in detecting wildfires over large areas in an Australian context.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Deriving Metrics of Vertical Structure at the Plot Level for Use in Regional Characterisation of S.E. Australian Forests.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Field Sampling Protocol for Foliage Chemistry Assessment: Applicability over Varied Forest Sites in Australia.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Here, There, or Everywhere? An Accuracy Assessment and the Influence of Ecoregions in the Spatial Distribution of Errors in a Vegetation Land Cover Mapping Assessment of Victoria, Australia.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Proceedings of the Geospatial Science Research 2 Symposium, 2012
Key Attributes for Monitoring and Assessment of Australian Forests: A Land Management Perspective.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
An Evaluation of the Utility of Two Classifiers for Mapping Woody Vegetation Using Remote Sensing.
Proceedings of the Geospatial Science Research 2 Symposium, 2012
2011
A Comparison of High and Low Gain DMSP/OLS Satellite Images for the Study of Socio-Economic Metrics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011
Derivation of a resilient polygon centroid for natural resource management applications.
Int. J. Geogr. Inf. Sci., 2011
Delineating urban, suburban and rural areas using Landsat and DMSP-OLS night-time images.
Proceedings of the Joint Urban Remote Sensing Event, 2011
Indian census using satellite images: Can DMSP-OLS data be used for small administrative regions?
Proceedings of the Joint Urban Remote Sensing Event, 2011
2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010