Sökning: "Spectral Signature"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Spectral Signature.

  1. 1. Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden

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

    Författare :Shuo Yang; [2019]
    Nyckelord :Physical Geography and Ecosystem Analysis; Remote Sensing; Bark Beetle; Insect Detection; Sentinel-2; Forest Health; Maximum Likelihood; Random Forest; Spectral Signature; Vegetation Indices; Earth and Environmental Sciences;

    Sammanfattning : The European spruce bark beetle is considered as one of the most destructive forest insects to Norway spruce trees in Europe. Climate change may increase the frequency and intensity of bark beetle outbreaks. It is therefore of vital importance to detect the bark beetle outbreaks and take it under control to prevent further damages. LÄS MER

  2. 2. Detailed analysis of the chemical composition of stars harboring Earth-like planets

    Master-uppsats, Lunds universitet/Astronomi

    Författare :Lorena Acuña Aguirre; [2019]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : Context. The planet-metallicity correlation for gaseous giants is widely accepted through spectroscopic studies. However, whether a similar correlation exists for terrestrial planets is a debated subject. LÄS MER

  3. 3. A detailed study of auroral fragments

    Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomiUppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Författare :Joshua Dreyer; [2019]
    Nyckelord :aurora; fragments; Svalbard; all-sky camera; MSP; ASK; EISCAT;

    Sammanfattning : Aurora occurs in various shapes, one of which is the hitherto unreported phenomenon of auroral fragments. For three periods of occurrence of these fragments their properties were studied in detail during this master’s thesis, using mainly ground-based instrumentation located near Longyearbyen on Svalbard, Norway. LÄS MER

  4. 4. UAV based hyperspectral grassland monitoring in an alpine shallow erosion area : lessons learnt from classifying vegetation indicating shallow erosion risk

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

    Författare :John Peitz; [2019]
    Nyckelord :Physical Geography; Ecosystem Analysis; Shallow Erosion; Blaiken; UAV; Hyperspectral Imaging; Alps; Grassland; Spectral Signatures; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : UAV based hyperspectral grassland monitoring in an alpine shallow erosion area Recent research in the Alps found that a reduction in grassland management is correlated to an increase in a certain type of shallow erosion areas called blaiken. This change also entails changes to the dominant grassland vegetation. LÄS MER

  5. 5. Analysing Raman spectra of crystalline cellulose degradation by fungi using artificial neural networks

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik; Lunds universitet/Institutionen för astronomi och teoretisk fysik

    Författare :Sebastian Hutteri; [2019]
    Nyckelord :Raman spectroscopy; artificial neural networks; saprotrophic fungi; cellulose; Physics and Astronomy;

    Sammanfattning : This thesis investigates the use of artificial neural networks for classifying Raman spectra of partially degraded cellulose samples by fungal species. A multilayer perceptron configuration of 4 hidden layers and 128 hidden nodes was able to classify a set of 60 samples with an overall prediction accuracy of 0.55. LÄS MER