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Showing result 1 - 5 of 10 essays matching the above criteria.

  1. 1. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Qianyao Shen; [2022]
    Keywords : Bathymetry Retrieval; Multispectral Imagery; Convolutional Neural Network CNN ; Hämtning Av Batymetri; Multispektrala Bilder; Konvolutionellt Neuralt Nätverk CNN ;

    Abstract : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. READ MORE

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Abstract : 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. READ MORE

  4. 3. Knowledge and Data Driven Approaches for Hydrocarbon Microseepage Characterizations: An Application of Satellite Remote Sensing

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Ali Al Farid; [2020]
    Keywords : Geography; Geographical Information Systems; Hydrocarbon Microseepage; PCA; Crosta; Band Ratio; MTMF; Weight of Evidence; SVM; Methane Fluxes; Remote Sensing; Satellite Image Classification; Earth Observation; Mineral Classifications; Machine Learning; Earth and Environmental Sciences;

    Abstract : Methane is a potent greenhouse gas that plays a major role in climate change. Significant uncertainty exists in the estimates of emissions from natural methane sources. This uncertainty in data is one of the primary scientific challenges in climate model. READ MORE

  5. 4. Comparison of multi-temporal and multispectral Sentinel-2 and Unmanned Aerial Vehicle imagery for crop type mapping

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Stephania Zabala Ramos; [2017]
    Keywords : classification; Random Forest; precision agriculture; UAV; remote sensing; Micasense; GEM; Earth and Environmental Sciences;

    Abstract : Precision Agriculture aims to maximize crop production and the efficiency of land use to meet the increased demand for food while minimizing environmental impact and economic cost of food production. Crop type maps are needed for Precision Agriculture applications and remote sensing techniques are an efficient way to produce this information. READ MORE

  6. 5. Study of radiometric variations in Unmanned Aerial Vehicle remote sensing imagery for vegetation mapping

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Maria Ximena Tagle Casapia; [2017]
    Keywords : vegetation mapping; UAV; radiometric correction; vegetation indices; GEM; Earth and Environmental Sciences;

    Abstract : Unmanned Aerial Vehicles (UAVs) provide a flexible method for acquiring high-resolution imagery with relative simple operation and cost-effectiveness. This technology emerged 30 years ago and it is widely used by commercial, scientific, and military communities due to its versatility. However, new technology brings new challenges. READ MORE