Sökning: "Remote sensing"
Visar resultat 16 - 20 av 314 avhandlingar innehållade orden Remote sensing.
16. Urban Change Detection Using Multitemporal SAR Images
Sammanfattning : Multitemporal SAR images have been increasingly used for the detection of different types of environmental changes. The detection of urban changes using SAR images is complicated due to the complex mixture of the urban environment and the special characteristics of SAR images, for example, the existence of speckle. LÄS MER
17. Deep Learning for Active Fire Detection Using Multi-Source Satellite Image Time Series
Sammanfattning : In recent years, climate change and human activities have caused increas- ing numbers of wildfires. Earth observation data with various spatial and temporal resolutions have shown great potential in detecting and monitoring wildfires. LÄS MER
18. Remote Sensing and GIS : Applications for Groundwater Potential Assessment in Eritrea
Sammanfattning : An integrated approach with remote sensing, GeographicInformation Systems (GIS) and more traditional fieldworktechniques was adopted to assess the groundwater potential inthe central highlands of Eritrea. Digitally enhanced colorcomposites and panchromatic images of Landsat TM and Spot wereinterpreted to produce thematic maps such as lithology andlineaments. LÄS MER
19. Sea Surface Current Measurements Using Along-Track Interferometric SAR
Sammanfattning : Ocean currents affect the weather, the climate and the marine ecosystem. Observing ocean currents is important for understanding the upper-ocean layer dynamics and its interaction with the other components of the climate system. In-situ measurements are sparse and their deployment and maintenance is costly. LÄS MER
20. Inferring Land Use from Remote Sensing Imagery : A context-based approach
Sammanfattning : This doctoral thesis investigates the potential of classification methods based on spatial context to infer specific forms of land use from remote sensing data. The problem is that some types of land use are characterized by a complex configuration of land covers that traditional per-pixel based methods have problems classifying due to spectral heterogeneity. LÄS MER