A5034335064- GNSS positioning and interference
- Ionosphere and magnetosphere dynamics
- Earthquake Detection and Analysis
- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Geophysics and Gravity Measurements
- Weed Control and Herbicide Applications
- Precipitation Measurement and Analysis
- Building Energy and Comfort Optimization
- Remote Sensing and Land Use
- Soil Moisture and Remote Sensing
- Aquatic Ecosystems and Biodiversity
- Calibration and Measurement Techniques
- Meteorological Phenomena and Simulations
- Bacterial Identification and Susceptibility Testing
- Antibiotic Resistance in Bacteria
- Biological Control of Invasive Species
- Black Holes and Theoretical Physics
- Aquatic Ecosystems and Phytoplankton Dynamics
- Remote-Sensing Image Classification
- Architecture and Cultural Influences
- Particle Detector Development and Performance
- Cosmology and Gravitation Theories
- Hydrology and Watershed Management Studies
- Water Quality Monitoring and Analysis
University of Nairobi
2006-2024
Chesterfield Royal Hospital
2016-2019
Sapienza University of Rome
2002-2006
Delineation of aquatic plants and estimation its surface extent are crucial to the efficient control proliferation, this information can be derived accurately with fine resolution remote sensing products. However, small swath low observation frequency associated them may prohibitive for application large water bodies rapid proliferation dynamic floating plants. The from products high frequency, but coarse resolution; quality so must eventually assessed using finer data. In study, we evaluate...
For many environmental and agricultural applications, an accurate estimation of surface soil moisture is essential. This study sought to determine whether combining Sentinel-1A, Sentinel-2A, meteorological data with artificial neural networks (ANN) could improve in various land cover types. To train evaluate the model’s performance, we used field (provided by La Tuscia University) on area collected during time periods between October 2022, December 2022. Surface was measured at 29 locations....
This study investigates the utility of using remote sensing and geographic information system techniques to accurately infer presence radioactive minerals in a typical high background radiation area (HBRA) by analyzing spectral signatures associated soil, rocks vegetation. To accomplish this, both unsupervised (K-Means Clustering) supervised classification based on maximum likelihood classifier (MLC) were applied Landsat-8 Imager data from Mrima Hill Kenya's south coast. The hill is...
We investigated the use of phenological information extracted from satellite imagery and supported by agro-ecological zoning (AEZ) in accurate crop classification monitoring. Vegetation indices Landsat 8 are capable to track vegetation development through year them profile can be extrapolated implemented into a multi-temporal automatic process detect agricultural vegetated areas discriminate among different species. Our case study is Nakuru district located within Great Rift Valley Kenya.
Sensible heat flux (H) has a large impact on energy exchange between the surface and atmosphere and, thus, affects climate change climatic hydrological modelling. In past, remote sensing of H been major area interest as result, various methods have established for its retrieval. However, discrepancies measured simulated values observed over land surfaces because assumptions simplifications. This article presents generalized algorithm estimation sensible that is suitable wide range...
Abstract Fast Atmospheric Signature Code (FASCODE), a line‐by‐line radiative transfer programme, was used to simulate Moderate Resolution Imaging Spectroradiometer (MODIS) data at wavelengths 11.03 and 12.02 µm ascertain how accurately the land surface temperature (LST) can be inferred, by split‐window technique (SWT), for wide range of atmospheric terrestrial conditions. The approach starts from Ulivieri algorithm, originally applied Advanced Very High Radiometer (AVHRR) channels 4 5. This...
The global validation for SMAP (Soil Moisture Active Passive) Level-4 surface soil moisture using well-established core sites does not comprehensively account all landscapes on earth's due to the diverse nature of their intrinsic characteristics. Due inhibitive cost implementing a standard site, this study presents an alternative sampling approach suitable localized data in non-complex terrains. It involves clustering large heterogeneous area smaller units terrains where landscape-defining...
This article presents a remote-sensing tool employing an artificial neural networks algorithm for near real-time determination of the relative humidity (RH) profile above site using global positioning system (GPS) data recorded by ground-based GPS receiver. were processed to obtain Integrated Water Vapour. The integrated water vapour in conjunction with ground level information temperature, pressure, and RH was fed as inputs developed network which turn generated instantaneous profile, at...
Analyses have been done on the climatic data to obtain physical building design specifications for various regional conditions in Kenya. The main aim is provide a general and appropriate information at strategic pre-design stages make better use of passive solar energy urban planning and, indoor 'comfort' climate health productivity occupants. It utilizes computer program, ARCHIPAK together with (for 8 year period) get 'comfort zones', 'control potential zones'(CPZs), nine stations...