Sökning: "Google Earth Engine"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden Google Earth Engine.
1. Forest Aboveground Biomass Monitoring in Southern Sweden Using Random Forest Modelwith Sentinel-1, Sentinel-2, and LiDAR Data
Magister-uppsats, Högskolan i Gävle/SamhällsbyggnadSammanfattning : Monitoring carbon stock has emerged as a critical environmental problem among several worldwide organizations and collaborations in the context of global warming and climate change. This study seeks to provide a remote sensing solution based on three types of data, to explore the feasibility and reliability of estimating aboveground biomass (AGB) in order to improve the efficiency of monitoring carbon stock. LÄS MER
2. A Web Application for Wildfire Spread Prediction and Visualisation in Sweden Using Geospatial Data and Technology
Master-uppsats, KTH/GeoinformatikSammanfattning : Skogsbränder är kraftfulla naturfenomen kapabla att åstakomma omfattande skada över stora ytor och medföra omfattande kostnader för sammhället både humanitärt, ekonomiskt och miljömässigt. Det finns därför ett starkt incitament att övervaka och förutspå skogsbränders utveckling och spridning. LÄS MER
3. Predicting Drought Hazard In Sweden Using Google Earth Engine And Machine Learning Approach
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Drought, being one the most complex natural hazards, has a significant impact on society. To mitigate the impact and risk, it is crucial to be able to forecast drought, which is a challenging task. Nowadays, with technology innovations, large amounts of remote sensing data is available on the cloud. LÄS MER
4. Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Wetlands are valuable ecosystems, and assets for human life, that must be regularly monitored, starting with accurately mapping their location and extent. However, an updated national inventory of wetlands is needed. LÄS MER
5. A study on the urbanization of Bengaluru, India between 2015 and 2020 based on Sentinel-1/2 data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Availability of timely information about land-use and land-cover (LULC) changes is essential for understanding and modelling the urbanization pattern, and thereby in planning sustainable urban development of a region accordingly. Remote sensing technology, using Earth observation satellites, has emerged as a reliable tool for timely monitoring of changes anywhere on Earth. LÄS MER