A5085346745- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Soil erosion and sediment transport
- Conservation, Biodiversity, and Resource Management
- Plant Water Relations and Carbon Dynamics
- Forest ecology and management
- Urban Heat Island Mitigation
- Urban Green Space and Health
- Rangeland Management and Livestock Ecology
- Hydrology and Sediment Transport Processes
- Aquatic Ecosystems and Biodiversity
- Groundwater and Watershed Analysis
- Soil Geostatistics and Mapping
- Wildlife Ecology and Conservation
- Water resources management and optimization
- Irrigation Practices and Water Management
- Remote-Sensing Image Classification
- Rangeland and Wildlife Management
- Hydrology and Drought Analysis
- Leaf Properties and Growth Measurement
University of the Western Cape
2017-2025
University of KwaZulu-Natal
2014-2025
Midlands State University
2024
University of Limpopo
2016-2023
University of the Witwatersrand
2021
University of Zimbabwe
2013-2016
ABSTRACT This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning. Applying Random Forest (RF) classification to Sentinel‐2 imagery, we observed an increase tree cover from 25.02% 2015 29.99% 2023 a decrease barren land 20.64% 16.81%, with accuracy above 85%. Hotspot spatial clustering analyses revealed significant vegetation recovery, high‐confidence hotspots rising 36.76% 42.56%. A...
The quantification of aboveground biomass using remote sensing is critical for better understanding the role forests in carbon sequestration and informed sustainable management. Although techniques have been proven useful assessing forest general, more required to investigate their capabilities predicting intra-and-inter species which are mainly characterised by non-linear relationships. In this study, we tested two machine learning algorithms, Stochastic Gradient Boosting (SGB) Random...
Accurate assessment of above-ground biomass (AGB) is important for the sustainable management forests, especially buffer zone (areas within protected area, where restrictions are placed upon resource use and special measure undertaken to intensify conservation value area) areas with a high dependence on forest products. This study presents new AGB estimation method demonstrates potential medium-resolution Sentinel-2 Multi-Spectral Instrument (MSI) data application as an alternative...
Urbanisation alters surface landscape characteristics through conversion of natural landscapes to impervious surfaces. Such changes alter the thermal properties urban mosaics, increasing heat island intensity and population’s vulnerability heat-related stress. This study aimed at deriving detailed area-specific spatial information on distribution in Harare city, Zimbabwe, valuable for informed mitigation, planning decision-making. Using Landsat-8-derived bio-physical socio-demographic...
The nature of interactions between ecological, physical and hydrological characteristics that determine the effects land cover change on surface sub-surface hydrology is not well understood in both natural disturbed environments. spatiotemporal dynamics water fluxes their relationship with changes 2009 2017 headwater Buzi sub-catchment Zimbabwe evaluated. To achieve this, for area under study were characterised from 30 m Landsat data, using eXtreme Gradient Boosting (XGBoost) algorithm....
Rapid urbanization threatens urban green spaces and vegetation, demonstrated by a decrease in connectivity higher levels of fragmentation. Understanding historic spatial temporal patterns such fragmentation is important for habitat biological conservation, ecosystem management planning. Despite their potential value, Local Indicators Spatial Autocorrelation (LISA) measures have not been sufficiently exploited monitoring the variability clustering vegetation areas. LISA statistics are an...
The recent global urban expansion has seen a massive decline and loss in the connectivity of vegetation. In areas, some vegetation patches have increasingly become isolated less connected by matrix composed impervious surfaces transportation networks like roads. Vegetation fragmentation is threat to remaining green spaces an impact on biodiversity conservation, environmental quality microclimates. So far, lot work been done mapping monitoring spaces, using conventional methods late remotely...
The impact of land use cover (LULC) change and climate variability on water resources poses as a major threat in semi-arid environments, especially the sub-Saharan Africa. Countries Africa are vulnerable to scarcity. Hence, there is an urgent need for understanding various methods LULC assessment, aid management at scales. Various studies have modelled assessed effect hydrological responses, using different approaches. In this regard, paper provides detailed review progress remote sensing...