Sökning: "Landsat"

Visar resultat 1 - 5 av 30 avhandlingar innehållade ordet Landsat.

  1. 1. Large-Scale Multi-Source Satellite Data for Wildfire Detection and Assessment Using Deep Learning

    Författare :Xikun Hu; Yifang Ban; Martin Wooster; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Wildfire; Remote Sensing; Active Fire Detection; Burned Area Mapping; Burn Severity Assessment; Sentinel-2; Landsat; Sentinel-1; Deep Learning; Semantic Segmentation; Image Translation; Skogsbrand; fjärranalys; aktiv branddetektering; kartläggning av bränt område; bedömning av brännskador; Sentinel-2; Landsat; Sentinel-1; djupinlärning; semantisk segmentering; bildöversättning.; Geoinformatik; Geoinformatics;

    Sammanfattning : Earth Observation (EO) satellites have great potential in wildfire detection and assessment at fine spatial, temporal, and spectral resolutions. For a long time, satellite data have been employed to systematically monitor wildfire dynamics and assess wildfire impacts, including (i) to detect the location of actively burning spots, (ii) to map the spatial extent of the burn scars, (iii) to assess the wildfire damage levels. LÄS MER

  3. 2. Monitoring biodiversity in cultural landscapes: development of remote sensing- and GIS-based methods

    Författare :Jonas Dalmayne; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :Remote sensing; statistical modeling; spatial scales; partial least squares; support vector machines; grazed grasslands; LULC; HySpex; Worldview-2; Landsat; heterogeneity; landscape complexity; plant species diversity;

    Sammanfattning : In this thesis, I explore the relationships between structural and compositional landscape properties, and species diversity, using remotely sensed data on a variety of spatial scales. The thesis shows that increased landscape heterogeneity, measured using environmental and spectral variables that were used both separately and combined, is generally positively related to plant species richness. LÄS MER

  4. 3. Remote Sensing of Forest Decline in the Czech Republic

    Författare :Jonas Ardö; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Czech Republic; neural networks; sulphur dioxide; air pollution; Norway spruce; deforestation; forest decline; GIS; spectral characteristics; Remote sensing; Landsat; Ore Mountains; Geology; physical geography; Geologi; fysisk geografi;

    Sammanfattning : This thesis describes the localisation and quantification of deforestation and forest damage in Norway spruce forests in northern Czech Republic using Landsat data. Severe defoliation increases the spectral reflectance in all wavelength bands, especially in the mid infrared region. LÄS MER

  5. 4. Earth Observation based Monitoring of Urbanizationand Environmental Impact in Kigali, Rwanda

    Författare :Theodomir Mugiraneza; Yifang Ban; Jan Haas; Emmanuel Twarabamenye; Constantinos Cartalis; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Earth observation; Landsat; Sentinel-2; WorldView-2; Urbanization; Land cover classification; Support vector machines; Random forest; U-Net; LandTrendr; Landscape metrics; Ecosystem services; Environmental impact analysis; Kigali; Rwanda; Jordobservation; Landsat; Sentinel-2 MSI; WorldView-2; Urbanisering; Klassificering av marktäcke; Stödvektormaskiner; Slumpmässig skog; U-Net; LandTrendr; Landskapsmetriker; Ekosystemtjänster; Miljökon- sekvensanalys; Kigali; Rwanda.; Geoinformatics; Geoinformatik;

    Sammanfattning : Urbanization is one of the great challenges in the 21st century. Despite being an engine for the global economy, urban areas consume 78% of World's energy and emit more than 60% of greenhouse gas emission. Sub-SaharanAfrican cities, e.g. LÄS MER

  7. 5. Remote Sensing of Woodland Structure and Composition in the Sudano-Sahelian zone : Application of WorldView-2 and Landsat 8

    Författare :Martin Karlson; Madelene Ostwald; Tina Schmid Neset; Heather Reese; Frédéric Achard Forobs; Linköpings universitet; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Remote sensing; Sudano-Sahel; woodland; agroforestry; WorldView-2; Landsat 8; tree attributes; tree canopy cover; aboveground biomass; Random Forest; Fjärranalys; Sudano-Sahel; woodland; WorldView-2; Landsat 8; trädattribut; trädtäcke; biomassa; Random Forest;

    Sammanfattning : Woodlands constitute the subsistence base of the majority of people in the Sudano-Sahelian zone (SSZ), but low availability of in situ data on vegetation structure and composition hampers research and monitoring. This thesis explores the utility of remote sensing for mapping and analysing vegetation, primarily trees, in the SSZ. LÄS MER