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Visar resultat 1 - 5 av 8 avhandlingar som matchar ovanstående sökkriterier.
1. GNSS hardware biases in code and carrier phase observables
Sammanfattning : GNSS hardware biases appear in code and phase observations, and originates both from the receiver and satellite hardware. The presence of biases in GNSS observations might affect the accuracy in precise GNSS positioning applications, and might also be of relevance in other GNSS applications. LÄS MER
2. Advanced Remote Sensing Precipitation Input for Improved Runoff Simulation : Local to regional scale modelling
Sammanfattning : Accurate precipitation data are crucial for hydrological modelling and rainwater runoff management. Precipitation variability exists through a wide range of spatial and temporal scales and cannot be captured well using sparse rain gauge networks. LÄS MER
3. Hardware biases and their impact on GNSS positioning
Sammanfattning : GNSS hardware biases appear in code and phase observations, and originates both from the receiver and satellite hardware. These biases influence the accuracy in precise GNSS positioning if not handled properly. LÄS MER
4. Modeling the Zeeman Effect in Planetary Radiative Transfer and Applications
Sammanfattning : Remote sensing is about retrieving distant physical properties from locally observed radiation. The first step to remote sensing is to describe, or model, the radiative transfer. LÄS MER
5. Site-Dependent Effects in High-Accuracy Applications of GNSS
Sammanfattning : Global Navigation Satellite Systems, GNSS are used in many applications demanding millimetre-level accuracy in positioning. Such applications include monitoring of crustal movements. The GNSS technique also facilitates estimates of the tropospheric water vapour content, an important parameter in numerical weather predictions and climate research. LÄS MER