Original title:
Analýza deforestace krajiny s využitím satelitních snímků
Translated title:
Analysis of Landscape Deforestation Using Satellite Imagery
Authors:
Javorka, Martin ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor) Document type: Bachelor's theses
Year:
2020
Language:
cze Publisher:
Vysoké učení technické v Brně. Fakulta informačních technologií Abstract:
[cze][eng]
Dnes je dolezite chranit lesne zdroje a sledovat odlesnovanie je nevyhnutne. Dialkove sni- manie Zeme ma v tomto monitorovacom usili dolezitu ulohu. Tato praca sa zaobera styrmi roznymi technikami zistovania odlesnovania zo satelitnych snimok - pomocou optickych aj radarovych dat. Su opisane specifika dat pri dialkovom snimani Zeme a geopriestorove analyzy. Analyticke techniky sa pouzivaju na zistovanie odlesnovania v studijnej oblasti Chocske vrchy. Segmentacia obrazu pomocou modelu neuronovej siete Unet sa pouziva na klasifikaciu vsetkych odlesnenych uzemi.
Today is important to protect forest resources and tracking deforestation is essential. Re- mote sensing has an important role in this monitoring effort. This thesis studies four different techniques for detecting deforestation from satellite imagery - using both optical and radar data. The specifics of Earth observation data and geospatial analyses are described. The analytical techniques are used for detecting deforestation in the study area of Chocske vrchy. Image segmentation with Unet neural network model is used to classify there all deforested patches.
Keywords:
analysis; deforestation; ndvi; radar; satellite imagery; transfer learning; unet; analyza; ndvi; odlesnovanie; radar; satelitne snimky; transfer learning; unet
Institution: Brno University of Technology
(web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library. Original record: http://hdl.handle.net/11012/194948