Sökning: "Google Earth"
Visar resultat 11 - 15 av 74 uppsatser innehållade orden Google Earth.
11. Self-Supervised Learning: Land Classification of Satellite Imagery
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. LÄS MER
12. The role of urban agriculture towards livelihood and food security : the case of Addis Ababa, Ethiopia
Master-uppsats, SLU/Dept. of Urban and Rural DevelopmentSammanfattning : Urban agriculture plays a major role in providing food and income in cities. It also serves as a tool for poverty alleviation. LÄS MER
13. Flood alleviation in Gothenburg South-Kungsladugård area with the help of rainwater harvesting/retention : Calculating roof catchment areas and applying rainwater harvesting systems
Kandidat-uppsats, Mittuniversitetet/Avdelningen för ekoteknik och hållbart byggandeSammanfattning : Sweden like other countries on Earth is also affected by climate warming, including predicted higher levels of precipitation. Due to heavier rains, the occurrence of pluvial flooding may increase. LÄS MER
14. Identifiering av fysiska potentialer för ekosystemtjänster : en metodstudie i Lidköping
Master-uppsats, SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Sammanfattning : Detta examensarbete är en metodstudie där digitala kartmaterial och platsanalys används för identifiering av fysiska potentialer för ekosystemtjänster. I examensarbetet tas en modell fram för hur fysiska potentialer för ekosystemtjänster kan identifieras via digitala kartplattformar som Google Earth Pro och ArcGis tillsammans med en okulärbesiktning vid en platsanalys. LÄS MER
15. 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