Sökning: "land use land cover classification"
Visar resultat 1 - 5 av 48 uppsatser innehållade orden land use land cover classification.
1. 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
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. END-OF-LIFE FOR A QUARRY, WHAT IS THE ENVIRONMENTAL IMPACT?
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Aggregates products are the largest non-energy mining industry in the world, which is the most extracted materials after water. The most prevalent source of aggregates is from quarries, or mines that target the rock itself. LÄS MER
4. 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
5. 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