Russell Main

Orcid: 0000-0003-1967-1122

According to our database1, Russell Main authored at least 10 papers between 2008 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Estimating South African Maize Biomass Using Integrated High-Resolution UAV and Sentinel 1 and 2 Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, Machine Learning, and ALOS PALSAR Data.
Remote. Sens., 2019

2018
Indirect Estimation of Structural Parameters in South African Forests Using MISR-HR and LiDAR Remote Sensing Data.
Remote. Sens., 2018

Detection of Burned Areas in Southern African Savannahs Using Time Series of C-Band Sentinel-1 Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
Hyper-Temporal C-Band SAR for Baseline Woody Structural Assessments in Deciduous Savannas.
Remote. Sens., 2016

L-band Synthetic Aperture Radar imagery performs better than optical datasets at retrieving woody fractional cover in deciduous, dry savannahs.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2014
The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2009
Integrating Remote Sensing and Ancillary Data for Regional Ecosystem Assessment: Eucalyptus Grandis Agro-system in KwaZulu-Natal, South Africa.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
Evaluating the Seasonality of Remote Sensing Indicators of System State for Eucalyptus Grandis Growing on Different Site Qualities.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


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