Essays about: "satellitbilder"

Showing result 1 - 5 of 50 essays containing the word satellitbilder.

  1. 1. Changes in Gishwati-Mukura Forest and effects on biodiversity, floods, and landslides - recommendations for sustainable forest management

    University essay from Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Author : Elisabeth Claesson; [2023]
    Keywords : Rwanda; Gishwati-Mukura; Rainforest; Natural forest cover; Deforestation; Biodiversity; Flood; Landslide; Biology and Life Sciences;

    Abstract : Rainforests are of great importance for biodiversity and several ecosystem services. In Rwanda, a considerable decline in rainforest covers have been observed during the last decades. The Gishwati-Mukura Forest is one of the rainforests in Rwanda that has experienced a substantial reduction in forest cover, 99.4 %. READ MORE

  3. 2. Characterization of Landscape Structures and Precipitation in relation to Flooding events in Pampa Deprimida : A Minor Field Study in Argentina

    University essay from Uppsala universitet/Luft-, vatten- och landskapslära

    Author : Linnea Svärd; [2023]
    Keywords : Pampeana hydrology; flood risk mapping; runoff; infiltration; precipitation; SCSCN; remote sensingg; Hydrologi på Pampas; kartläggning av översvämningsrisker; avrinning; infiltration; nederbörd; SCS-CN; fjärranalys; Hidrología de la Pampa Deprimida; cartografía del riesgo de inundaciones; escorrentía; infiltración; precipitación; SCS-CN; sensores remotos;

    Abstract : The purpose of the thesis is to characterize flood events within the agricultural fields of flooding Pampa in Argentina. The characterization divides the flat landscape into flood prone areas and endeavour at linking driving factors to flood response based on past events. READ MORE

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

    University essay from KTH/Geoinformatik

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

    Abstract : 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. READ MORE

  5. 4. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE

  6. 5. Development of a Level-0 Geoprocessing Platform for a Multispectral Remote Sensing Payload

    University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Author : Sergio Santiago Bernabeu Peñalba; [2022]
    Keywords : Infrared imagery; VIS; NIR; LWIR; geoprocessor; geolocation; quaternions; Aistech Space; image processing; ORB; RANSAC; Sentinel; Landsat; Infraröda bilder; VIS; NIR; LWIR; geoprocessor; geolokalisering; kvarternioner; Aistech Space; bildbehandling; ORB; RANSAC; Sentinel; Landsat;

    Abstract : This thesis presented an overview of the development of a geolocating algorithm as part of a geoprocessor for raw satellite imagery. This algorithm was devised for and limited by the specifications of a state-of-the-art multispectral telescope designed by Aistech Space, hosted onboard the Guardian spacecraft, which will observe Earth through the visible, near infrared, and thermal infrared bands of the electromagnetic spectrum. READ MORE