Essays about: "remote sensing images"

Showing result 1 - 5 of 149 essays containing the words remote sensing images.

  1. 1. 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

  2. 2. A Structural Analysis of the Fracture Sets in Gothenburg, Sweden: A Remote Sensing and Manual Lineament Approach

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : Jacek Krysik; [2023-05-22]
    Keywords : Remote sensing; Manual lineament analysis; Fractal analysis; Structural; Regional geology; LiDAR; Gothenburg region;

    Abstract : The fracture-valley landscape within the Gothenburg region was analysed based on LiDAR-derived hillshade images as well as several sources of orthomosaics. Using a manual lineament interpretation approach and complimented with an objective fractal analysis software (FROST), the objective of the study was to characterise the regional fracture sets as well as attempt to link the sets to the complex regional geological history. READ MORE

  3. 3. 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

  4. 4. Use of Satellite Remote Sensing for Detecting Archaeological Features: An Example from Ancient Corinth, Greece

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Emmanouil Papadakis; [2023]
    Keywords : Geography; GIS; Satellite Remote Sensing; Vegetation Indices; Classification; Archaeology; Earth and Environmental Sciences;

    Abstract : During the last few decades, satellite remote sensing has proven to be an important non-invasive method for archaeological research in order to detect ancient sites and manage existing ones. Archaeologists have tried in the recent past to embed Geographic Information Systems (GIS) and image processing techniques in their research as non-destructive approaches, which can allow a wider perception of archaeological landscapes and predict past behaviors. READ MORE

  5. 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

    University essay from Linköpings universitet/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE