John Armston
Orcid: 0000-0003-1232-3424
According to our database1,
John Armston
authored at least 28 papers
between 2004 and 2024.
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Bibliography
2024
A New InSAR Temporal Decorrelation Model for Seasonal Vegetation Change With Dense Time-Series Data.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023
Forest Biomass Mapping Using Continuous InSAR and Discrete Waveform Lidar Measurements: A TanDEM-X/GEDI Test Study.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2021
Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning.
CoRR, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
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
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
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
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
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