Avancerad sökning

Visar resultat 1 - 5 av 27 uppsatser som matchar ovanstående sökkriterier.

  1. 1. GIS and remote sensing based mapping of microtopography and vegetation composition in a boreal mire complex

    Master-uppsats, SLU/Dept. of Forest Ecology and Management

    Författare :Nils Helge Havertz; [2023]
    Nyckelord :Microtopography modelling; Remote sensing; Boreal mixed mires; Object Based Image Analysis OBIA ; random forest RF ;

    Sammanfattning : Small scale variations in mire surface elevation referred to as microtopography are fundamental characteristics of mire ecosystems especially in the boreal region. Microtopography commonly classified into hummocks and hollows play a major role in several ecological, hydrological and biogeochemical processes including vegetation composition and carbon and methane dynamics. LÄS MER

  3. 2. Deep Learning for Building Damage Assessment of the 2023 Turkey Earthquakes : A comparison of two remote sensing methods

    Kandidat-uppsats, KTH/Geoinformatik

    Författare :Tobias Karlbrg; Jennifer Malmgren; [2023]
    Nyckelord :Deep learning; U-Net; Earthquake-induced building damage; VHR satellite imagery; Djup maskininlärning; U-Net; Byggnadsskador; Jordbävning; Satellitbilder;

    Sammanfattning : Current disaster response strategies are based on damage assessments carried out on the ground, which can be dangerous following a ä destructive event. Damage assessments can also be performed remotely using satellite imagery, but are usually carried out through visual interpretation, which can take a lot of time. LÄS MER

  4. 3. Identifiering av den invasiva lupinen (Lupinus polyphyllus) : Övervakning av blomsterlupiner längst vägkanter med hjälp av högupplösta UAV-data och GIS

    Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Pontus Petersen; [2022]
    Nyckelord :Classification; Random Forest; Maximum likelihood; UAV; Lupinus polyphyllus; Lupine; Klassificering; Random Forest; Maximum likelihood; UAV; Lupinus polyphyllus; Lupiner;

    Sammanfattning : Sveriges vägdiken och vägkanter är hem till många blommor och växtarter. Lupin-blomman Lupinus polyphyllus är en invasiv växtart som kom till Sverige under 1800-talet. Lupinblommans egenskaper gör att växten konkurrerar ut andra växtarter och negativt påverkar svensk biologisk mångfald. LÄS MER

  5. 4. Carta ex Machina: Testing object-based machine learning and unsupervised classification in land use change detection mapping in the semi-arid governorate of Sidi Bouzid, Tunisia

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

    Författare :Kristian Emil Havnsgaard Paludan; [2021]
    Nyckelord :Change detection; Land use mapping; LANDSAT MSS; LANDSAT TM; GEOBIA; Random Forest classification; ISODATA cluster classification; Object-based classification; Semi-arid agriculture; Irrigation mapping; Earth and Environmental Sciences;

    Sammanfattning : Sidi Bouzid, Tunisia is an inland governorate in Tunisia that has undergone a rapid agricultural and urban development since the Tunisian independence in 1952 from being a rural and largely nomadic region into a hub of irrigated agriculture. In 2010 Mohamed Bouazizi sparked the Tunisian revolution by lighting himself on fire int he city of Sidi Bouzid, with some blaming the inequality and water scarcity created by this rapid expansion in the irrigation farming as an important cause (Bayat, 2017; Malka, 2018). LÄS MER

  7. 5. 3D Context of Objects : A prior for Object Detection and Place Classification

    Master-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Nima Behzad; [2021]
    Nyckelord :;

    Sammanfattning : Contextual information is helpful for object detection and object-based placerepresentation. 3D data significantly helps to capture geometrical informationabout scenes. In this work, a feature descriptor for object context in full 3Dpointclouds of places is introduced together with a method to extract featuresand build the context model. LÄS MER