Sökning: "Sentinel-2"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet Sentinel-2.

  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. Humanitarian Satellites : a remote sensing approach to built-up area estimation in refugee camps

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

    Författare :Riccardo Biella; [2019]
    Nyckelord :Remote Sensing; Humaitarian; Sentinel 2; Built-Up Area Estimation; IBI; NDBI; Digitization; Time Series; Earth and Environmental Sciences; Science General;

    Sammanfattning : The determination of the built-up area of a refugee camp is an important task as it can be used for estimating the population. While high resolution satellite imagery can be costly, since 2015 Sentinel-2 data has become available through the European Space Agency. Sentinel-2 offers 10 m resolution images with frequents updates. LÄS MER

  3. 3. Damage Assessment of the 2018 Swedish Forest Fires Using Sentinel-2 and Pleiades Data

    Kandidat-uppsats, KTH/Geoinformatik; KTH/Geoinformatik

    Författare :Patrik Grenert; Linus Bäckström; [2019]
    Nyckelord :Damage Assessment; Sentinel-2; Pleiades; Forest Fire dNBR classification; Supervised image classificaiton; Sweden; 2018; Trängslet; Lillhärdal 2018;

    Sammanfattning : When a devastating event such as a forest fire occurs, multiple actions have to be taken. The first priority is to ensure people's safety during the fire, then the fire has to be kept under control and finally extinguished. After all of this, what remains is a damaged area in the forest. LÄS MER

  4. 4. Analysing the vegetation condition during the 2017 and 2018 growing seasons using indices derived from Sentinel-2 data : a case study over southern Sweden

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

    Författare :Camilla Persson; [2019]
    Nyckelord :Physical Geography and Ecosystem analysis; remote sensing; vegetation indices; drought; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : The summer of 2017 was climatically close to normal in southern Sweden, whereas the following summer was unusually warm and dry. These two years therefore make an interesting case study for investigating the impact of severe drought on vegetation, particularly when considering that climate change is predicted to lead to an increased frequency of drought events in the study area. LÄS MER

  5. 5. Assessing edge pixel classification and growing stock volume estimation in forest stands using a machine learning algorithm and Sentinel-2 data

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

    Författare :Enzo Zerega; [2018]
    Nyckelord :Physical Geography; Ecosystem Analysis; Random Forest; remote sensing; accuracy assessment; land cover classification; training stage; multi-temporal; edge areas; Earth and Environmental Sciences; Science General;

    Sammanfattning : Sustainable forest management requires accurate and up-to-date baseline data regarding forest structural parameters and the definition of forest stand units. A crucial component in stand characterization is the identification of tree species and to correctly define the stand boundaries. LÄS MER