Sökning: "Spektrala band"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Spektrala band.

  1. 1. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images

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

    Författare :Nakita Sunil Oza; [2022]
    Nyckelord :Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

    Sammanfattning : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. LÄS MER

  3. 2. Level 1 processing  algorithms of MicroCarb  microsatellite : Performance assessment of ISRF in-flight estimation through new algorithms

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

    Författare :Quentin Taupin; [2021]
    Nyckelord :;

    Sammanfattning : Facing global warming and its dramatic consequences, it is now of the utmost urgency to improve our understanding of the carbon cycle mechanisms through which global climate change unfolds. The MicroCarb mission will allow to accurately monitor CO2 global sources and sinks over the entire surface of the Earth. LÄS MER

  4. 3. Skattning av skogliga variabler genom satellitbilder från Sentinel 2 : Estimation of forest variables using satellite images from Sentinel 2

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för skog och träteknik (SOT)

    Författare :Hanna Cavonius Johansson; Jens Henriksson; [2019]
    Nyckelord :Sentinel-2; Remote sensing; Optimal images; Reflectance; Spectral band; Vegetation index; Forest variables; Sentinel 2; Fjärranalys; Optiska bilder; Reflektans; Spektrala band; Vegetationsindex; Skogliga variabler;

    Sammanfattning : Stora arealer skog behöver övervakas. Att göra detta på ett kostnadseffektivt sätt är något som skogssektorn efterfrågar. Syftet med studien var att undersöka möjligheten att skatta skogliga variabler med satellitbilder från Sentinel 2. LÄS MER

  5. 4. Tree species classification using multi-temporal Sentinel-2 data

    Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Forest Resource Management

    Författare :Magnus Persson; [2018]
    Nyckelord :sentinel-2; tree species; random forest; recursive feature elimination;

    Sammanfattning : The Sentinel-2 program provides the opportunity to monitor terrestrial ecosystems with a high temporal- and spectral resolution. In this study, the utilization of multi-temporal Sentinel-2 imagery and it’s spectral variation due to phenology for classification of common tree species is evaluated at the forest estate Remningstorp in central Sweden. LÄS MER

  7. 5. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil

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

    Författare :Linnea Jonsson; [2015]
    Nyckelord :support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

    Sammanfattning : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. LÄS MER