Search for dissertations about: "Remote sensors"

Showing result 1 - 5 of 84 swedish dissertations containing the words Remote sensors.

  2. 1. Studies of Volcanic Plumes with Remote Spectroscopic Sensing Techniques -DOAS and FTIR measurements on volcanoes of the Network for Observation of Volcanic and Atmospheric Change-

    Author : Santiago Arellano; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; FTIR; Remote Sensing; DOAS; NOVAC; Volcanic gas emissions;

    Abstract : Volcanism is a rich geodynamical process, closely linked to the origin and ongoing evolution of the lithosphere, atmosphere, hydrosphere and biosphere. Humans have benefited from the resources provided by volcanoes but also been threatened by the dangers of volcanic eruptions, which accurate prediction remains elusive. READ MORE

  4. 2. Data assimilation of forest variables predicted from remote sensing data

    Author : Nils Lindgren; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES;

    Abstract : Forest information for management planning is today gathered through a combination of field inventories and remote sensing, but the available flow of remote sensing data over time is not yet utilized for continuously improving predictions of forest variables. In the thesis, the utility of data assimilation, in particular the Extended Kalman filter, for forest variable prediction is investigated. READ MORE

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

    Author : Xikun Hu; Yifang Ban; Martin Wooster; KTH; []
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 4. Urban Change Detection Using Multitemporal SAR Images

    Author : Osama Yousif; Yifang Ban; Lorenzo Bruzzone; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Change detection; High resolution; Image denoising; Kittler-Illingworth; MAP-MRF; Multitemporal SAR images; Nonlocal means; Object-based; Otsu; Outlier detection; Remote sensing; SAR speckle; Urban; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Abstract : Multitemporal SAR images have been increasingly used for the detection of different types of environmental changes. The detection of urban changes using SAR images is complicated due to the complex mixture of the urban environment and the special characteristics of SAR images, for example, the existence of speckle. READ MORE

  7. 5. Tree stem diameter estimation from terrestrial point clouds

    Author : Mona Forsman; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Forest owners, governments, and environmental organizations demand forest information for planning of forest operations, estimation of value, and for environmental monitoring. This information is collected using airborne and satellite remote sensing combined with field inventory of sample plots. READ MORE