Laven Naidoo

TL;DR: In this article, the authors classified eight common savanna tree species in the Greater Kruger National Park region, South Africa, using a combination of hyperspectral and Light Detection and Ranging (LiDAR)-derived structural parameters, in the form of seven predictor datasets, in an automated Random Forest modelling approach.

TL;DR: In this article, the authors investigated the utility of the Carnegie Airborne Observatory (CAO) hyperspectral data, and WorldView-2 and Quickbird multispectral spectral data and a combined spectral+tree height dataset (derived from the CAO LiDAR system) for mapping seven common savanna tree species or genera in the Sabi Sands Reserve and communal lands adjacent to Kruger National Park, South Africa.

TL;DR: In this paper, a map of the above-ground woody biomass (AGB) of African savannahs and woodlands at a resolution of 25 m is presented, based on the 2010 L-band PALSAR mosaic produced by JAXA.

TL;DR: Evaluating the classification performance of a multiple-endmember spectral angle mapper (SAM) classification approach in discriminating ten common African savanna tree species found higher overall classification accuracies were observed for evergreen trees than for deciduous trees.

TL;DR: In this article , the authors present the development of the models used to create GEDI's footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection.