Sökning: "Remote sensing"

Visar resultat 1 - 5 av 348 uppsatser innehållade orden Remote sensing.

  1. 1. Modelling gross primary production in semi-arid regions: effects on carbon uptake of intensive agriculture in southern Kenya

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

    Författare :Malin Ahlbäck; [2020]
    Nyckelord :Physical Geography; Ecosystem Analysis; GPP; Africa; Kenya; Land cover changes; Cropland; Remote sensing; Sentinel-2; Earth and Environmental Sciences;

    Sammanfattning : Background and aim: Gross primary production (GPP) is the largest global carbon (C) flux and an important component for counteracting anthropogenic CO2 emissions, understanding vegetation dynamics, and sustaining universal human standards. Africa plays a prominent role in the global C cycle, though our understanding of GPP dynamics is largely hampered by a paucity of ground-based observations. LÄS MER

  2. 2. Assessing annual forest phenology: a comparison of Unmanned Aerial Vehicle (UAV) and phenocamera datasets

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

    Författare :Shangharsha Thapa; [2020]
    Nyckelord :Geography; Ecosystem Analysis; Near-surface Remote Sensing; UAV; Phenocamera; Forest Phenology; Phenophase; Seasonality; NDVI; GCC; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Near-surface remote sensing platforms such as Unmanned Aerial Vehicles (UAVs) and phenocameras appear to be potential platforms for keeping track of seasonal dynamics at a local scale. This research focusses on extracting time series of different vegetation indices (VIs) from both platforms, computing seasonality events from them and comparing the results against spectral sensor data. LÄS MER

  3. 3. A Scalable Approach for Detecting Dumpsites using Automatic Target Recognition with Feature Selection and SVM through Satellite Imagery

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Markus Skogsmo; [2020]
    Nyckelord :satellite imagery; earth observation; remote sensing; sentinel-2; Copernicus; ESA; global watch center; sentinelhub; support vector machine; big data analysis; big data visualization; detection; classification; automatic target recognition; machine learning; one-class classifier;

    Sammanfattning : Throughout the world, there is a great demand to map out the increasing environmental changes and life habitats on Earth. The vast majority of Earth Observations today, are collected using satellites. LÄS MER

  4. 4. Foreland evolution of Blåisen, Norway, over the course of an ablation season

    Master-uppsats, Lunds universitet/Geologiska institutionen

    Författare :Alexander Hamilton-Foyn; [2020]
    Nyckelord :Geomorphological Mapping; Structure from Motion; Glacial Landforms; Ice-Marginal Landforms; Landform Preservation; Hardangerjøkulen; Norway; Earth and Environmental Sciences;

    Sammanfattning : This study presents a detailed investigation into the evolution of sedimentary landforms over an ablation season at Blåisen, an outlet of the Hardangerjøkulen Icecap, Norway. The two visits to Blåisen, one each side of the ablation season, allowed the preservation and evolution of the landforms to be studied. LÄS MER

  5. 5. Submesoscale variations in sea surface temperature and salinity - a comparison between satellite data and in situ measurements from a mobile platform

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

    Författare :Kerstin Bergentz; [2020]
    Nyckelord :Earth and Environmental Sciences;

    Sammanfattning : Sea surface temperature and salinity are important variables for understanding many ocean and climate processes. They can be measured both by in situ sensors and satellite remote sensing, each method with its own advantages and disadvantages. LÄS MER