A5065789334- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Rangeland Management and Livestock Ecology
- Flood Risk Assessment and Management
- Soil Geostatistics and Mapping
- Land Use and Ecosystem Services
- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Leaf Properties and Growth Measurement
- Animal Diversity and Health Studies
- Atmospheric chemistry and aerosols
- Science and Climate Studies
- Remote Sensing and Land Use
- Innovative Approaches in Technology and Social Development
- ICT in Developing Communities
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Agricultural Innovations and Practices
- Wildlife Ecology and Conservation
- Urban Heat Island Mitigation
- Hydrology and Drought Analysis
- Climate change impacts on agriculture
- Atmospheric and Environmental Gas Dynamics
South African National Space Agency
2020-2024
This study validated SNAP-derived LAI from Sentinel-2 and its consistency with existing global products. The validation inter-comparison experiments were performed on two processing levels, i.e., Top-of-Atmosphere Bottom-of-Atmosphere reflectances spatial resolutions, 10 m, 20 m. These chosen to determine their effect retrieved accuracy consistency. results showed moderate R2, ~0.6 ~0.7 between in-situ LAI, but high errors, RMSE, BIAS, MAE >2 m2 m–2 marked differences levels insignificant...
Abstract Earth observation (EO) data are increasingly being used to monitor vegetation and detect plant growth anomalies due water stress, drought, or pests, as well availability, weather conditions, disaster risks, land use/land cover changes evaluate soil degradation. Satellite provided regularly by worldwide organizations, covering a wide variety of spatial, temporal spectral characteristics. In addition, weather, climate crop models provide early estimates the expected climatic patterns...
Methane (CH4) is the second most abundant anthropogenic greenhouse gas after carbon dioxide (CO2), accounting for about 20% of global emissions. CH4 emission sources include landfills, oil and natural systems, agricultural activities, coal mining, stationary mobile combustion, wastewater treatment certain industrial processes. In this work, we examine spatio-temporal dynamics its relationship to climatic vegetation parameters in Northern Cape province South Africa. Various datasets from...
An increasing number of products and services based on satellite Earth Observation (EO) data are being developed for use by decision-makers in African agricultural contexts, providing information such as weather climate forecasts, crop yields water availability. Capacity development to support impactful EO is a key component many EO-for-development initiatives, but there little consensus over where or how capacity should be developed. Our goal this piece provide critical perspective the...
Globally, remotely sensed agricultural monitoring is impeded by cloudy conditions which render the acquired images useless. In semi-arid landscapes, rainfed croplands dominate production; thus, majority of planting occurs in rainy season, characterized erratic cloud cover. The clear-sky pixels partly-cloudy can be used to increase number useful observations for quantitative analysis. This achieved screening and atmospheric correction (AC) processes. However, effectiveness various AC...
In areas with extensive, nomadic, or transhumant livestock farming, it is important to access regular information on the location of ephemeral surface water bodies. Existing near-real time methods for high-resolution mapping are mainly based use optical satellite imagery. However, data restricts detection cloud-free conditions. To overcome this limitation SAR used bodies mapping. Nevertheless, implemented techniques usually not fully automated applicable in hilly landscapes. Indeed,...
The overarching goal of SALDi (South African Land Degradation MonItor) is to implement novel, adaptive, and sustainable tools for assessing land degradation in multi-use landscapes South Africa. This presentation demonstrates results from hyper-temporal Sentinel-1 -2 timeseries concerning woody cover mapping complex savanna systems, invasive slangbos bush encroachment grassland areas regional soil moisture retrievals. Validation has been performed by cross-comparisons, field trips...
African rangelands are threatened by anthropogenic land-use activities, adverse climate phenomena such as droughts, and poor land management. These undermine their capacity to support various fauna flora, provide ecosystem services, sustain livestock agriculture, i.e., a key economic activity in Africa. Therefore, preserving the integrity of is critical for addressing food security challenges. Using multi-sensor Earth observation data Random Forest classifier, this study characterized...
<p>Global biodiversity and ecosystem services are under high pressure of human impact. Although avoiding, reducing reversing the impacts activities on ecosystems should be an urgent priority, loss continues. One main drivers is land use change degradation. In South Africa degradation has a long history great concern. The SPACES II project SALDi (South African Land Degradation Monitor) aims for developing new, adaptive sustainable tools assessing by addressing dynamics...
<p>The project ‘South African Land Degradation Monitor (SALDi)’ contributes to the German-South Science Program SPACES by addressing dynamics and functioning of multi-use landscapes with respect land use, cover change, water fluxes, implications for habitats ecosystem services. Particularly, SALDi aims: i) develop an automated system high temporal (bi-weekly) spatial resolution (10 30 m) change detection monitoring service dynamics, ii) develop,...