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  1. 1. Artificial Intelligence In The Field Of Archaeology

    University essay from

    Author : Philip Gonzalez; [2024-01-25]
    Keywords : ;

    Abstract : Artificial intelligence is something the world has only just been starting to get a grasp on. The race for who can create the best model is taking place all around the globe. In archaeology, the usage of programs like these is tested every day and through many trials, usable solutions are slowly being born. READ MORE

  2. 2. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Abstract : 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. READ MORE

  3. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    University essay from Linköpings universitet/Datorseende

    Author : Erica Ingerstad; Liv Kåreborn; [2024]
    Keywords : NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Abstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE

  4. 4. CHANGES IN URBAN GREENERY DURING THE 2018 HEAT WAVE – A CASE STUDY FOR GÖTEBORG USING REMOTE SENSING

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Ivan Ruzic; [2023-06-21]
    Keywords : heat wave; urban trees; NDVI; remote sensing;

    Abstract : Urban vegetation plays a crucial role in diverse urban microclimates. The numerous ecosystem services provided by vegetation, particularly trees, ensure greater quality of life and thermal comfort regulation. Yet, not all trees are immune to extreme weather events, such as droughts and heat waves, especially in cities. READ MORE

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Abstract : 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. READ MORE