Sökning: "Land change detection"
Visar resultat 1 - 5 av 41 uppsatser innehållade orden Land change detection.
1. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. LÄS MER
2. Characterization of ulvan polysaccharide degrading enzymes from Wenyingzhuangia fucanilytica
Master-uppsats, Lunds universitet/Bioteknik; Lunds universitet/Bioteknik (master)Sammanfattning : The aim of this thesis was to fully characterize the enzyme WFp-105, including bioinformatic analysis, structural modeling, full activity and stability characterization and product determination. As well as for the enzyme WFp-37; optimize protein production in regard to expression strains and cultivation temperature, analyzing the genomic context as well as performing an initial activity detection. LÄS MER
3. Damage Assessment of the 2022 Tongatapu Tsunami : With Remote Sensing
Kandidat-uppsats, KTH/GeoinformatikSammanfattning : The Island of Tongatapu, Tonga, was struck by a tsunami on January 15, 2022. Internet was cut off from the island, which made remote sensing a valuable tool for the assessment of damages. Through land cover classification, change vector analysis and log-ratio image differencing, damages caused by the tsunami were assessed remotely in this thesis. LÄS MER
4. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. LÄS MER
5. Kvalitetsundersökning av de globala höjdmodellerna Copernicus GLO-30 DEM och FABDEM över tre områden i Sverige
Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/SamhällsbyggnadSammanfattning : Höjddata är fundamentala inom en mängd applikationer. Genom att skapa en digital höjdmodell (DEM), d.v.s. LÄS MER