John Armston

According to our database1, John Armston authored at least 24 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning.
CoRR, 2021

Ecosystem Sciences with NISAR.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Forest Aboveground Biomass Estimation with GEDI and ICESat-2 in Boreal Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels.
Remote. Sens., 2020

Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation.
Remote. Sens., 2020

2019
A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data.
Remote. Sens., 2019

Spaceborne Data Fusion for Large-Scale Forest Parameter Estimation: GEDI Lidar & Tandem-X INSAR Missions.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Gedi and Tandem-X Fusion for 3D Forest Structure Parameter Retrieval.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Evaluation of the Range Accuracy and the Radiometric Calibration of Multiple Terrestrial Laser Scanning Instruments for Data Interoperability.
IEEE Trans. Geosci. Remote. Sens., 2017

An Accuracy Assessment of Derived Digital Elevation Models from Terrestrial Laser Scanning in a Sub-Tropical Forested Environment.
Remote. Sens., 2017

The 2016 NASA AfriSAR campaign: Airborne SAR and Lidar measurements of tropical forest structure and biomass in support of future satellite missions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Contribution of ALOS PALSAR data to forest characterization and monitoring in Australia.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables.
Remote. Sens., 2014

2013
Sorted pulse data (SPD) library. Part I: A generic file format for LiDAR data from pulsed laser systems in terrestrial environments.
Comput. Geosci., 2013

Sorted pulse data (SPD) library - Part II: A processing framework for LiDAR data from pulsed laser systems in terrestrial environments.
Comput. Geosci., 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

Rapid characterisation of forest structure from TLS and 3D modelling.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
An Approach to Mapping Forest Growth Stages in Queensland, Australia through Integration of ALOS PALSAR and Landsat Sensor Data.
Remote. Sens., 2012

Effects of clumping on modelling LiDAR waveforms in forest canopies.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2010
An Evaluation of the ALOS PALSAR L-Band Backscatter - Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010

Advances in the integration of ALOS PALSAR and Landsat sensor data for forest characterisation, mapping and monitoring.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Estimation of pasture biomass and soil-moisture using dual-polarimetric X and L band SAR - accuracy assessment with field data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2007
ALOS PALSAR for characterizing wooded savannas in Northern Australia.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2004
A regression model approach for mapping woody foliage projective cover using landsat imagery in Queensland, Australia.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004


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