Essays about: "object-based image classification"

Showing result 1 - 5 of 14 essays containing the words object-based image classification.

1. 1. GIS and remote sensing based mapping of microtopography and vegetation composition in a boreal mire complex

   University essay from SLU/Dept. of Forest Ecology and Management

   Author : Nils Helge Havertz; [2023]
   Keywords : Microtopography modelling; Remote sensing; Boreal mixed mires; Object Based Image Analysis OBIA ; random forest RF ;

   Abstract : Small scale variations in mire surface elevation referred to as microtopography are fundamental characteristics of mire ecosystems especially in the boreal region. Microtopography commonly classified into hummocks and hollows play a major role in several ecological, hydrological and biogeochemical processes including vegetation composition and carbon and methane dynamics. READ MORE

3. 2. Carta ex Machina: Testing object-based machine learning and unsupervised classification in land use change detection mapping in the semi-arid governorate of Sidi Bouzid, Tunisia

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Kristian Emil Havnsgaard Paludan; [2021]
   Keywords : Change detection; Land use mapping; LANDSAT MSS; LANDSAT TM; GEOBIA; Random Forest classification; ISODATA cluster classification; Object-based classification; Semi-arid agriculture; Irrigation mapping; Earth and Environmental Sciences;

   Abstract : Sidi Bouzid, Tunisia is an inland governorate in Tunisia that has undergone a rapid agricultural and urban development since the Tunisian independence in 1952 from being a rural and largely nomadic region into a hub of irrigated agriculture. In 2010 Mohamed Bouazizi sparked the Tunisian revolution by lighting himself on fire int he city of Sidi Bouzid, with some blaming the inequality and water scarcity created by this rapid expansion in the irrigation farming as an important cause (Bayat, 2017; Malka, 2018). READ MORE

4. 3. Investigating Sand Dune Location, Orientation and Geomorphometry Through GEOBIA-Based Mapping: A Case Study in Northern Sweden

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Melanie Stammler; [2020]
   Keywords : sand dunes; geomorphological mapping; object-based image analysis; landscape development; sanddyner; geomorfologisk kartläggning; geografisk objektbaserad bildanalys; landskapsutveckling;

   Abstract : Climate change has repeatedly been framed as the defining issue of the Anthropocene and with the Arctic changing at unpreceded speed need is high for a profound understanding of the Northern Swedish landscape. Northern Swedish aeolian sand dunes have been impacted by climatic changes throughout time. READ MORE

5. 4. CLASSIFYING DOMINANT PARKLAND SPECIES IN A WEST AFRICAN AGROFORESTRY LANDSCAPE USING PLEIADES SATELLITE IMAGERY

   University essay from Linköpings universitet/Institutionen för tema

   Author : Simon Lunn; [2020]
   Keywords : Remote Sensing; Burkina Faso; Pleiades Satellite; Tree species; Agroforestry;

   Abstract : As we move towards a digital based society, technology continues to improve. It is important to take advantage of this to inform and facilitate our sustainable development goals in the most cost-effective and time efficient manner. READ MORE

6. 5. Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment

   University essay from KTH/Geoinformatik

   Author : Oliver Stromann; [2018]
   Keywords : Feature Extraction; Feature Selection; Dimensionality Reduction; Supervised Object-Based Land Cover Classification; Google Earth Engine;

   Abstract : Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. READ MORE