Essays about: "multispectral sensors"
Showing result 1 - 5 of 15 essays containing the words multispectral sensors.
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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. Combination analysis of multispectral and radar satellite data
University essay from Umeå universitet/Institutionen för fysikAbstract : Remote sensing technologies, such as satellite imagery, have proven to be a powerful tool for land cover classification when combined with machine learning algorithms. Depending on which type of sensor is used for the imagery, different properties of land cover classes may be distinguished. READ MORE
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3. Ashish Vivekar (2020) Evaluation of methodology for estimating crop yield from multispectral UAV images : a case study at Lönnstorp, Sweden
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Adaptation of modern Unmanned Aerial Vehicle (UAV) and multispectral sensor technology in agriculture can enhance the capacity to accurately monitor crops. But these technologies come with its own set of challenges. READ MORE
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4. Assessment of Drone-Borne Multispectral Mapping in the Exploration of Magmatic Ni-Cu Sulphides – an Example from Disko Island, West Greenland
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The senseFly eBeePlus fixed-wing drone is a market available UAV compatible with a range of sensors that includes the Parrot Sequoia+ multispectral camera. Commercial applications of the drone predominantly focus on agriculture, environmental management, and engineering applications. READ MORE
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5. Knowledge and Data Driven Approaches for Hydrocarbon Microseepage Characterizations: An Application of Satellite Remote Sensing
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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