Sökning: "satellite imagery"
Visar resultat 1 - 5 av 149 uppsatser innehållade orden satellite imagery.
1. Artificial Intelligence In The Field Of Archaeology
Kandidat-uppsats,Sammanfattning : Artificial intelligence is something the world has only just been starting to get a grasp on. The race for who can create the best model is taking place all around the globe. In archaeology, the usage of programs like these is tested every day and through many trials, usable solutions are slowly being born. LÄS MER
2. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER
3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER
4. CHANGES IN URBAN GREENERY DURING THE 2018 HEAT WAVE – A CASE STUDY FOR GÖTEBORG USING REMOTE SENSING
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Urban vegetation plays a crucial role in diverse urban microclimates. The numerous ecosystem services provided by vegetation, particularly trees, ensure greater quality of life and thermal comfort regulation. Yet, not all trees are immune to extreme weather events, such as droughts and heat waves, especially in cities. LÄS MER
5. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. LÄS MER