Sökning: "MODIS"

Visar resultat 21 - 25 av 30 avhandlingar innehållade ordet MODIS.

  1. 21. Remote Sensing of Carbon Balance across Scandinavian Forests

    Författare :Pontus Olofsson; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Forests; Natural science; Naturvetenskap; Carbon balance; Remote sensing;

    Sammanfattning : A methodology for estimating the carbon balance across Scandinavian forests using remote sensing is presented. By estimating the gross primary production (GPP) and the ecosystem respiration (ER), and thereby, the net ecosystem exchange (NEE), using parameters that are routinely retrieved from satellite, it is possible to implement an operational model for obtaining large scale NEE. LÄS MER

  2. 22. Deep Learning for Active Fire Detection Using Multi-Source Satellite Image Time Series

    Författare :Yu Zhao; Yifang Ban; Andrea Nascetti; Josephine Sullivan; Cartalis Constantinos; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wildfire; Remote Sensing; Active Fire Detection; GOES-R ABI; Suomi-NPP VIIRS; Image Segmentation; Deep Learning; Gated Recurrent Units GRU ; Transformer.; Vilda Bränder; Fjärranalys; Aktiv Branddetektering; GOES- R ABI; Suomi-NPP VIIRS; Bildsegmentering; Djupinlärning; Gated Recurrent Units GRU ; Transformer; Geoinformatik; Geoinformatics;

    Sammanfattning : In recent years, climate change and human activities have caused increas- ing numbers of wildfires. Earth observation data with various spatial and temporal resolutions have shown great potential in detecting and monitoring wildfires. LÄS MER

  3. 23. Monitoring insect defoliation in forests with time-series of satellite based remote sensing data - near real-time methods and impact on the carbon balance

    Författare :Per-Ola Olsson; BECC: Biodiversity and Ecosystem services in a Changing Climate; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Forests are of major importance to climate change mitigation due to their strong capacity to sequester carbon. Nearly half of the terrestrial carbon is stored in forests, and forests contribute to half of the terrestrial primary productivity, with forests in the mid- and high latitude ecosystems as major contributors. LÄS MER

  4. 24. Supervised and Unsupervised Deep Learning Models for Flood Detection

    Författare :Ritu Yadav; Yifang Ban; Andrea Nascetti; Nicolas Audebert; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Floods; Remote Sensing; Sentinel-1 SAR; Segmentation; Change Detection; DEM; Data Fusion; Time Series; Deep Learning; Unsupervised Learning; Contrastive Learning; Self-Attention; Convolutional LSTM; Variational AutoEncoder VAE ; Geoinformatik; Geoinformatics;

    Sammanfattning : Human civilization has an increasingly powerful influence on the earthsystem. Affected by climate change and land-use change, floods are occurringacross the globe and are expected to increase in the coming years. Currentsituations urge more focus on efficient monitoring of floods and detecting impactedareas. LÄS MER

  5. 25. Studies of Volcanic Influence on Aerosols, Clouds and Climate

    Författare :Johan Friberg; Ergonomi och aerosolteknologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; lowermost stratosphere; volcanic aerosol; upper troposphere; sulfurous aerosol; carbonaceous aerosol; ion beam analysis; volcanism; indirect effect; radiative forcing; direct effect; Stratosphere; Fysicumarkivet A:2016:Friberg;

    Sammanfattning : This thesis focuses on the influence of volcanism on the compositions of the aerosols in the upper troposphere (UT) and lowermost stratosphere (LMS), and their direct and indirect impact on climate. Aerosol data were obtained by aircraft-borne sampling, using the CARIBIC (Civil Aircraft for the Regular Investigation of the Atmosphere Based on an Instrument Container) platform, and laboratory-based ion beam analysis of aerosol samples at the Lund Ion Beam Analysis Facility (LIBAF). LÄS MER