Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"synthetic aperture radar (SAR) data"”.
-
A spaceborne synthetic aperture radar data processor
… with the design and implementation of a Synthetic Aperture Radar (SAR) data processor. The implementation of the processing is based on a standard sequential approach to the problem and employs commonly used algorithms. The processing was done using the C language running on an IBM …
-
Development of a Support-Vector-Machine-based Supervised Learning Algorithm for Land Cover Classification Using Polarimetric SAR Imagery
Land cover classification using Synthetic Aperture Radar (SAR) data has been a topic of great interest in recent literature. Food commodities output prediction through crop identification, environmental monitoring, and forest regrowth tracking are some of the many problems that can be aided by land …
-
Automatic matching of features in Synthetic Aperture Radar data to digital map data.
The large amounts of Synthetic Aperture Radar (SAR) data now being generated demand automatic tools for image interpretation. Where available, map data provides a valuable aid for visual interpretation and it should aid automatic interpretation. Automatic map based interpretation will be heavily …
-
The design and implementation of a radar simulator
… describes the design and implementation of a radar simulator called Sarsim2. The radar simulator was originally developed to produce synthetic range profiles (SRPs) of complex aircraft models. It was then expanded and upgraded to generate simulated synthetic aperture radar (SAR) data. Over the …
-
Flood risk modeling and impact assessment using google earth engine in Mpumalanga province, South Africa
… computing platform and multi-source spatial data (Sentinel-1 SAR, Sentinel-2 and CHIRPS). The study aimed to assess flood dynamics in the study area through two main components: a detailed assessment of flood events and an inter-annual analysis covering the period 2020-2024. Firstly, a flood …
-
Quantitative rice mapping with remote sensing image time series
… with remote sensing time series, including data pre-processing, crop identification, rice classification, and rice variety separation. Time-series optical and Synthetic-Aperture Radar (SAR) data delivered by the Sentinel satellites are utilised. Testing sites are at a major rice planting …
-
RADAR MONITORING OF HYDROLOGY IN MARYLAND'S FORESTED COASTAL PLAIN WETLANDS: IMPLICATIONS FOR PREDICTED CLIMATE CHANGE AND IMPROVED MAPPING
… and traditional remote sensing methods. C-band synthetic aperture radar (SAR) data could improve the capability to monitor forested wetland hydrology but the abilities and limitations of these data need further investigation. This study examined: 1) the link between climate and wetland …
-
Retrieval of grassland biophysical parameters using multitemporal optical and radar satellite data
… Imaging Spectroradiometer (MODIS)) and radar (TerraSAR-X) time series imagery to estimate the grassland biomass at two study sites (Moorepark and Grange) in the Republic of Ireland using both statistical and state of the art machine learning algorithms. High quality weather data …
-
The gulf of cadiz as a natural laboratory for the validation and exploitation of coastal altimetry and model data
… The research was performed using: in-situ data, sea level altimetry measurements from Sentinel-3 SRAL, and observations from a hydrodynamic model implemented in the main study area. The in-situ data were used to validate the altimetry measurements, as well as to calibrate and validate the …