Sökning: "Sentinel-2"

Visar resultat 1 - 5 av 21 uppsatser innehållade ordet Sentinel-2.

  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. Soil organic carbon prediction using Sentinel-2 data and the LUCAS topsoil database

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

    Författare :Philipp Hansen; [2020]
    Nyckelord :Sentinel-2 LUCAS topsoil database Soil organic carbon mapping Multispectral data; Earth and Environmental Sciences;

    Sammanfattning : Its carbon sink potential as well as soil fertility benefits make organic carbon a soil variable for which reliable quantification methods are sought. This thesis work aims at investigating the possibility of adapting a large soil spectral library to build models for SOC predictions with remotely sensed, multispectral 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. Detecting Spruce Bark Beetle Infestations with Satellite Imagery

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Per Emil Hammarlund; [2020]
    Nyckelord :;

    Sammanfattning : Sveaskog is Swedens largest forest owner, owning 14 percent of the Swedish forest lands. Recently, due to warmer and drier summers as a consequence of climate change, spruce bark beetles have caused damages at a massive scale. LÄS MER

  5. 5. Remote sensing-based land cover classification and change detection using Sentinel-2 data and Random Forest : A case study of Rusinga Island, Kenya

    Master-uppsats, Linköpings universitet/Tema Miljöförändring

    Författare :Malena Hesping; [2020]
    Nyckelord :Land cover classification; post-classification change detection; Random Forest; remote sensing; Sentinel-2;

    Sammanfattning : Healthy forests and soils are crucial for the very existence of mankind as they provide food, clean water and air, shade and protection against floods and storms. With their photosynthetic carbon storage ability, they mitigate climate change and fertilise and stabilise soils. LÄS MER