Essays about: "Landsat 8"
Showing result 1 - 5 of 22 essays containing the words Landsat 8.
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1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. READ MORE
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2. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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3. Determination of semi-aerobic landfill suitability in tropical developing countries using land surface temperature : A case study of an unmanaged open dump in transition in Yangon City region, Myanmar
University essay from Mittuniversitetet/Institutionen för ekoteknik- och hållbart byggandeAbstract : Population growth rate increases rapidly, which reflects on Municipal Solid Waste(MSW) generation rates and the accumulation in unmanaged open dumps and landfills in developing countries. Consequences of improper MSW management and treatment are not only local or regional but global since Methane (CH4) emissions are responsible for a notable part of the total anthropogenic CH4 emissions. READ MORE
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4. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : This thesis presents the first attempt to estimate Dissolved Organic Carbon (DOC) in inland waters over a large-scale area using satellite data and machine learning (ML) methods. Four ML approaches, namely Random Forest Regression (RFR), Support Vector Regression (SVR), Gaussian Process Regression (GPR), and a Multilayer Backpropagation Neural Network (MBPNN) were tested to retrieve DOC using a filtered version of the recently published open source AquaSat dataset with more than 16 thousand samples across the continental US matched with satellite data from Landsat 5, 7 and 8 missions. READ MORE
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5. Spatiotemporal changes in Gothenburg municipality's green space, 1986 to 2019
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : As the world’s population is becoming increasingly more urban the infrastructure expands to accommodate the inhabitants’ needs. In a dense urban environment green space has an important function since it provides vital ecosystem services, contributes to recreational and cultural values and is essential for biodiversity. READ MORE
