Sökning: "Land cover classification"

Visar resultat 1 - 5 av 77 uppsatser innehållade orden Land cover classification.

1. 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 ekosystemvetenskap

   Författare :Anastasia Sarelli; [2024]
   Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

   Sammanfattning : 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

3. 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 geovetenskaper

   Författare :Amanda Bäck; [2023-10-09]
   Nyckelord :Nocturnal Air Temperature; Intra-Urban Heat Island; Land Cover Classification; Deep learning; The Air Pollution Model TAPM ; Land Cover Change;

   Sammanfattning : 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

4. 3. END-OF-LIFE FOR A QUARRY, WHAT IS THE ENVIRONMENTAL IMPACT?

   Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Författare :Kimia Golamian Yosaf Abadi; [2023-06-21]
   Nyckelord :Quarrying; Aggregates; Life cycle; Environmental impact; Restoration; Permit;

   Sammanfattning : 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

5. 4. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Yuyang Qian; [2023]
   Nyckelord :Physical Geography and Ecosystem analysis; CCDC; Forest loss; Landsat; Sentinel-1; Change detection; NNP; FARC; Earth and Environmental Sciences;

   Sammanfattning : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. LÄS MER

7. 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 datavetenskap

   Författare :Oskar Aidantausta; Patrick Asman; [2023]
   Nyckelord :data fusion; deep learning; land use land cover classification; multiclass; multimodal; remote sensing; semantic segmentation; Sentinel satellite; spectral index; U-Net; Urban Atlas;

   Sammanfattning : 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