Sökning: "Satellite Modelling"

Visar resultat 16 - 20 av 73 uppsatser innehållade orden Satellite Modelling.

1. 16. 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)

   Författare :Shreyas Goswami; [2021]
   Nyckelord :;

   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

3. 17. Estimating active layer thickness at the high Arctic study site Zackenberg from remotely sensed ground subsidence

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

   Författare :Lotte Wendt; [2021]
   Nyckelord :active layer thickness; DInSAR; subsidence; permafrost; Zackenberg; CALM; Earth and Environmental Sciences;

   Sammanfattning : The active layer thickness (ALT) is an indicator of permafrost thaw, which potentially leads to the release of large amounts of greenhouse gases under global warming, and thus could further amplify climate change. The thaw depth of the active layer also governs seasonal surface deformation, caused by the volume change between ice to water, which poses risks for slope stability and infrastructure foundations. LÄS MER

4. 18. Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data

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

   Författare :Nicklas Simonsen; [2021]
   Nyckelord :Physical Geography and Ecosystem Analysis; Machine Learning; Deep Learning; Recurrent Neural Network; LSTM; Soil Moisture; Remote Sensing; SAR; Sentinel-1; Sentinel-2; ISMN; ICOS: Geomatics; Earth and Environmental Sciences;

   Sammanfattning : Soil moisture (SM) is an essential climate variable that controls fundamental hydrological and climatic processes. Soil moisture products derived from microwave remote sensing often provide measurements at low spatial resolution and incomplete temporal records. LÄS MER

5. 19. Modelling gross primary production in semi-arid regions: effects on carbon uptake of intensive agriculture in southern Kenya

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

   Författare :Malin Ahlbäck; [2020]
   Nyckelord :Physical Geography; Ecosystem Analysis; GPP; Africa; Kenya; Land cover changes; Cropland; Remote sensing; Sentinel-2; Earth and Environmental Sciences;

   Sammanfattning : Background and aim: Gross primary production (GPP) is the largest global carbon (C) flux and an important component for counteracting anthropogenic CO2 emissions, understanding vegetation dynamics, and sustaining universal human standards. Africa plays a prominent role in the global C cycle, though our understanding of GPP dynamics is largely hampered by a paucity of ground-based observations. LÄS MER

7. 20. Soil organic carbon prediction using Sentinel-2 data and the LUCAS topsoil database

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

   Författare :Philipp Hansen; [2020]
   Nyckelord :Sentinel-2 LUCAS topsoil database Soil organic carbon mapping Multispectral data; Earth and Environmental Sciences;

   Sammanfattning : Its carbon sink potential as well as soil fertility benefits make organic carbon a soil variable for which reliable quantification methods are sought. This thesis work aims at investigating the possibility of adapting a large soil spectral library to build models for SOC predictions with remotely sensed, multispectral data. LÄS MER