Sökning: "land image"
Visar resultat 1 - 5 av 199 uppsatser innehållade orden land image.
1. Using GIS and satellite data to assess access of green area for children living in growing cities
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Urban green space (UGS) refers to open spaces within an urban context that are filled with greenery and nature. These can range from very small vegetation to expansive park areas. The common denominator is that they have proven to be beneficial for human health and well-being. Access to green spaces is also important for children. LÄS MER
2. Exploring Urban Land Cover Changes and the Effect on Nocturnal Air Temperature Dynamics in Helsingborg - A temperature modeling made with TAPM
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : In light of increasing global temperatures, urban areas face growing challenges related to heat stress. Alterations in land cover (LC) within cities contribute to changes in the intra-urban climate, predominantly driven by the replacement of vegetated surfaces with impermeable materials. LÄS MER
3. Småbrukarkultur i björkskogsregionen : historiska bilder från Jämtlands län
Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvårdSammanfattning : In the Swedish mountains there are three different vegetation zones, the prealpine, subalpine and bare mountain. Between the prealpine zone, where the coniferous forest ends, and the bare mountain, there is the subalpine zone, or birch forest region. LÄS MER
4. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesiSammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER
5. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. LÄS MER