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Showing result 1 - 5 of 21 essays matching the above criteria.
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1. Monitoring Urbanization in Sekondi-Takoradi, Ghana, using Multi-Temporal Sentinel-2 MSI Imagery and In-Situ Interviews
University essay from KTH/GeoinformatikAbstract : 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. READ MORE
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2. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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3. Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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4. Assessing the suitability of using Sentinel-1A SAR multi-temporal imagery to detect fallow periods between rice crops
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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5. Cropland and tree cover mapping using Sentinel-2 data in an agroforestry landscape, Burkina Faso
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : Sentinel-2, with high spatial resolution bands and increased number of spectral channels, has provided increased capabilities for vegetation mapping. Cropland masks within heterogeneous areas such as the Sudano-Sahel zone have become useful for monitoring landscapes. READ MORE