Laven Naidoo

Orcid: 0000-0002-7091-0566

According to our database1, Laven Naidoo authored at least 14 papers between 2010 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-Temporal Assessment of Woody Canopy Cover Changes in South Africa; Products and Analysis based on Gedi, Sentinel-1 and 2 Data.
Proceedings of the IGARSS 2024, 2024

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

Estimating above ground biomass as an indicator of carbon storage in vegetated wetlands of the grassland biome of South Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2019

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

Estimating tree species diversity in the savannah using NDVI and woody canopy cover.
Int. J. Appl. Earth Obs. Geoinformation, 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

2015
Reducing Leaf-Level Hyperspectral Data to 22 Components of Biochemical and Biophysical Bands Optimizes Tree Species Discrimination.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

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

Use of Radarsat-2 polarimetric SAR images for fuel moisture mapping in the Kruger National Park, South Africa.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2010
Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis.
IEEE Trans. Geosci. Remote. Sens., 2010


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