A5012859434- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Remote Sensing and Land Use
- Species Distribution and Climate Change
- Forest ecology and management
- Remote-Sensing Image Classification
- Ecology and Vegetation Dynamics Studies
- Land Use and Ecosystem Services
- Rangeland and Wildlife Management
- Soil erosion and sediment transport
- Adaptive optics and wavefront sensing
- Hybrid Renewable Energy Systems
- Conservation, Biodiversity, and Resource Management
- Plant Water Relations and Carbon Dynamics
- Soil and Land Suitability Analysis
- Energy and Environment Impacts
- Calibration and Measurement Techniques
- Planetary Science and Exploration
- Smart Agriculture and AI
- Water-Energy-Food Nexus Studies
- Tree Root and Stability Studies
- Spectroscopy and Chemometric Analyses
- Wildlife Ecology and Conservation
University of Pretoria
2017-2025
Orthomosaics derived from consumer grade digital cameras on board unmanned aerial vehicles (UAVs) are increasingly being used for biodiversity monitoring and remote sensing of the environment. To have lasting quantitative value, remotely sensed imagery should be calibrated to physical units reflectance. Radiometric calibration improves quality raw consistent analysis comparison across different imagery. Moreover, calibrating reflectance its usefulness deriving biochemical biophysical...
Abstract Current biodiversity metrics derived from remote sensing data are typically applied to small local areas, require significant training data, and not easily extensible globally. Here we propose the mathematical concept of intrinsic dimensionality (ID) as a method quantify terrestrial vegetation variability without need for in situ data. We apply this technique airborne imaging spectroscopy Surface Biology Geology High Frequency Time series (SHIFT) campaign, with weekly overflights...
Estimation of biophysical variables such as leaf area index (LAI) and canopy chlorophyll content (CCC) at high spatiotemporal resolution is important for managing natural heterogeneous environments. However, accurate estimation particularly over environments remains a challenge. The objective the study was to develop locally parameterized grass LAI CCC empirical models using Sentinel-2 combined with Stepwise multiple linear regression (SMLR) Random forest (RF) Golden Gate Highlands National...
Abstract Woody canopy cover (CC) is important for characterising terrestrial ecosystems and understanding vegetation dynamics. The lack of accurate calibration validation datasets reliable modelling CC in the indigenous forests South Africa contributes to uncertainties carbon stock estimates limits our how they might influence long-term climate change. aim this study was develop a method monitoring Dukuduku forest Africa. Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band...
Access to clean water, reliable energy services and adequate food supply are basic needs for life contribute the reduction of national global levels human poverty forced migration. This study concentrated on reviewing progress made in understanding relationship between Water-Energy-Food (WEF) nexus climate change adaptation, using Africa as a case study. The method used achieve this objective was bibliometric analysis, covering period from 1980–2021. Data were acquired Web Science (WoS)...
The Sentinel-2 Level 2 Prototype Processor (SL2P) allows the generation of biophysical estimates at high spatiotemporal resolution from imagery and could be a solution for generating products in natural environments. This study validated SL2P leaf area index (LAI), fractional vegetation cover (FVC) canopy chlorophyll content (CCC) over savanna grassland environments using field measurements. performance Marakele Golden Gate Highlands National Parks were comparatively poor linearly biased...
Biophysical variables such as leaf area index (LAI) and chlorophyll content (LCC) are cited essential biodiversity variables. A comprehensive comparison integration of retrieval methods is needed for the estimation biophysical LAI LCC over a multispecies grass canopy. This study tested an assortment five potentially robust, nonparametric regression (NPRMs) inversion radiative transfer model (RTM) to retrieve in Marakele National Park (MNP) South Africa. The NPRMs used were, namely (i)...
Invasive alien plants (IAPs) are responsible for loss in biodiversity and the depletion of water resources natural ecosystems. Prosopis species IAPs previously introduced by farmers to provide shade fodder livestock. In Northern Cape, spp. invasions associated with native resulting overgrazing degrading rangelands. Mapping glandulosa is essential management initiatives assist government minimising spread impact IAPs. This study aims evaluate performance two machine learning algorithms i.e.,...
The Hartebeesthoek Radio Astronomy Observatory (HartRAO) of South Africa is developing a Lunar Laser Ranging (LLR) system to achieve sub-centimetre range precision the Moon. Key this high expectation, which includes improving overall operational performance its telescope, thermal analysis telescope structure. In study, sensors were mounted on thermally- important areas tube structure measure displacements emanating from varying ambient air temperatures. A laser distance-measurement was used...