Sökning: "multi-temporal"
Visar resultat 1 - 5 av 23 uppsatser innehållade ordet multi-temporal.
1. Inventering av skred genom jämförelse av två generationer LiDAR-genererad höjddata
Kandidat-uppsats, Stockholms universitet/Institutionen för naturgeografiSammanfattning : Landslides are a natural hazard that is expected to increase in the future, due to climate change. In order to keep risk management plans up to date, an efficient inventory method is needed. LÄS MER
2. Monitoring Urbanization in Sekondi-Takoradi, Ghana, using Multi-Temporal Sentinel-2 MSI Imagery and In-Situ Interviews
Master-uppsats, KTH/GeoinformatikSammanfattning : Rapid urbanization is taking place in Low-and middle-income countries (LMICs). Often there is not sufficient data monitoring the quick urban change. This study explores the use of machine learning classification within remote sensing to foster sustainable urban practices in a secondary city in an LMIC. LÄS MER
3. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. LÄS MER
4. Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Wetlands are valuable ecosystems, and assets for human life, that must be regularly monitored, starting with accurately mapping their location and extent. However, an updated national inventory of wetlands is needed. LÄS MER
5. Assessing the suitability of using Sentinel-1A SAR multi-temporal imagery to detect fallow periods between rice crops
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Fallow, understood as a period where no crop is cultivated during a growing season, is an important crop management practice. Fallow plays an important role in pest and disease management, and monitoring the presence and duration of fallow can have implications for understanding the extent and effectiveness of this agricultural practice. LÄS MER