Essays about: "satellite product"

Showing result 1 - 5 of 42 essays containing the words satellite product.

  1. 1. Spatial downscaling of gridded soil moisture products using optical and thermal satellite data: the effects of using different vegetation indices

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Tómas Halldórsson Alexander; [2023]
    Keywords : Physical Geography and Ecosystem Analysis; Remote Sensing; Soil moisture; Downscaling; Vegetation index; Earth and Environmental Sciences;

    Abstract : Soil moisture (SM) plays an important role in the exchange of heat and water between the surface and atmosphere, impacting water and energy cycles and the climate. Satellite remote sensing offers a global-scale estimation of SM; however, the coarse resolutions of satellite SM products, typically ranging from 25-50 km, are unsuitable for regional analysis. READ MORE

  3. 2. Conceptual design of an electronic “on the move” docking station for Ovzon satellite terminal

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Max Attergren; Martin Lindwall; [2023]
    Keywords : ;

    Abstract : The following report discusses a master's thesis in the field of mechanical design within the Machine Design track at the Royal Institute of Technology. The thesis was commissioned by Svea Teknik AB and Ovzon AB. The project's starting point was an existing product in Ovzon's catalog, a satellite terminal of the T7 model. READ MORE

  4. 3. Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Lasse Harkort; [2022]
    Keywords : dissolved organic carbon; machine learning; remote sensing; inland waters; water quality; open source data; Earth and Environmental Sciences;

    Abstract : 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

  5. 4. Mussels in deep water with climate change: Spatial distribution of mussel (Mytilus galloprovincialis) growth offshore in the French Mediterranean with respect to climate change scenario RCP 8.5 Long Term and Integrated Multi-Trophic Aquaculture (IMTA) using Dynamic Energy Budget (DEB) modelling

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Victoria Persson; [2022]
    Keywords : Geography; Geographical Information Systems; GIS; Physical Geography; Mediterranean; Mytilus galloprovincialis; Dynamic Energy Budget; DEB; growth rate; France; mussel cultivation; mussel farming; offshore; aquaculture; climate change; Integrated Multi-Trophic Aquaculture; IMTA; Earth and Environmental Sciences;

    Abstract : Victoria Persson Abstract Mussel cultivation is a sustainable type of food production that may help mitigate the nutritional needs of a future world population of 10-12 billion in 2100. The demand for mussels on the French market is increasing but the production is saturated due to a lack of space for expanding the cultivation close to shore. READ MORE

  6. 5. Night-time lights as a proxy for socioeconomic indicators in Uganda

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Eric Kaoukji; [2022]
    Keywords : Night-time lights Remote sensing Uganda Development economics Python Linear regression Satellite imagery; Business and Economics;

    Abstract : A large amount of economic research is reliant upon census, survey, or national accounts as a source of data. For many developing nations, the quality of this data is widely recognised to be unreliable and is rarely available at the sub-national level. READ MORE