Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis. - Moses Azong Cho; Pravesh Debba; Renaud Mathieu; Laven Naidoo; Jan van Aardt; Gregory Asner (IEEE Trans. Geosci. Remote. Sens., 2010)

Use of Radarsat-2 polarimetric SAR images for fuel moisture mapping in the Kruger National Park, South Africa. - Martin Kong; Brigitte Leblon; Renaud Mathieu; Claus-Peter Gross; Joseph Buckley; Laven Naidoo; Laura L. Bourgeau-Chavez (IGARSS, 2014)

Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data. - Russell Main; Renaud Mathieu; Waldo Kleynhans; Konrad J. Wessels; Laven Naidoo; Gregory P. Asner (IGARSS, 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. - Laven Naidoo; Renaud Mathieu; Russell Main; Waldo Kleynhans; Konrad J. Wessels; Gregory P. Asner; Brigitte Leblon (IGARSS, 2014)

Reducing Leaf-Level Hyperspectral Data to 22 Components of Biochemical and Biophysical Bands Optimizes Tree Species Discrimination. - Heidi van Deventer; Moses Azong Cho; Onisimo Mutanga; Laven Naidoo; Nontembeko Dudeni-Tlhone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

L-band Synthetic Aperture Radar imagery performs better than optical datasets at retrieving woody fractional cover in deciduous, dry savannahs. - Laven Naidoo; Renaud Mathieu; Russell Main; Konrad J. Wessels; Gregory P. Asner (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Hyper-Temporal C-Band SAR for Baseline Woody Structural Assessments in Deciduous Savannas. - Russell Main; Renaud Mathieu; Waldo Kleynhans; Konrad J. Wessels; Laven Naidoo; Gregory P. Asner (Remote. Sens., 2016)

Detection of Burned Areas in Southern African Savannahs Using Time Series of C-Band Sentinel-1 Data. - Renaud Mathieu; Russell Main; David Roy; Laven Naidoo; Hannah Yang (IGARSS, 2018)

Estimating tree species diversity in the savannah using NDVI and woody canopy cover. - Sabelo Madonsela; Moses Azong Cho; Abel Ramoelo; Onisimo Mutanga; Laven Naidoo (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Indirect Estimation of Structural Parameters in South African Forests Using MISR-HR and LiDAR Remote Sensing Data. - Precious Mahlangu; Renaud Mathieu; Konrad J. Wessels; Laven Naidoo; Michel M. Verstraete; Gregory Asner; Russell Main (Remote. Sens., 2018)

Estimating above ground biomass as an indicator of carbon storage in vegetated wetlands of the grassland biome of South Africa. - Laven Naidoo; Heidi van Deventer; Abel Ramoelo; Renaud Mathieu; Basanda Nondlazi; Ridhwannah Gangat (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, Machine Learning, and ALOS PALSAR Data. - Konrad J. Wessels; Renaud Mathieu; Nichola M. Knox; Russell Main; Laven Naidoo; Karen C. Steenkamp (Remote. Sens., 2019)

Estimating South African Maize Biomass Using Integrated High-Resolution UAV and Sentinel 1 and 2 Datasets. - Laven Naidoo; Russell Main; Moses Azong Cho; Sabelo Madonsela; Nobuhle Majozi (IGARSS, 2021)

Multi-Temporal Assessment of Woody Canopy Cover Changes in South Africa; Products and Analysis based on Gedi, Sentinel-1 and 2 Data. - Mcebisi Qabaqaba; Laven Naidoo; Philemon Tsele; Abel Ramoelo; Moses Azong Cho (IGARSS, 2024)