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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Imaging Studies IV: Magnetic Resonance Imaging01:27

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images.

Jose Ramon Saura1, Ana Reyes-Menendez1, Pedro Palos-Sanchez2

  • 1Department of Business Economics, Rey Juan Carlos University, Paseo Artilleros s/n, 28032, Madrid, Spain.

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|March 21, 2019
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Summary
This summary is machine-generated.

Unmanned Aerial Vehicles (UAVs) and multispectral photogrammetry offer powerful tools for agricultural analysis. This technology enables detailed mapping of crop health, moisture, and biomass, supporting efficient plantation management.

Keywords:
Computer scienceEnvironmental scienceGeoscience

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Area of Science:

  • Agricultural Technology
  • Remote Sensing
  • Photogrammetry

Background:

  • Agricultural production faces challenges in variable analysis and testing.
  • Advancements in Unmanned Aerial Vehicle (UAV) technology and remote sensing offer solutions.
  • Multispectral photogrammetry provides detailed insights into crop and soil conditions.

Purpose of the Study:

  • To demonstrate the potential of UAVs and multispectral photogrammetry in vineyard analysis.
  • To evaluate the application of Normalized Difference Vegetation Index (NDVI), Near-Infrared Spectroscopy (NIRS), and Digital Elevation Model (DEM) in agriculture.
  • To highlight the advantages of PIX4D Cloud Computing for agricultural data processing.

Main Methods:

  • Utilized UAVs equipped with multispectral sensors for data acquisition in a vineyard.
  • Applied multispectral photogrammetry to generate NDVI, NIRS, and DEM data.
  • Analyzed collected data using PIX4D Cloud Computing software.

Main Results:

  • Successfully mapped vegetative status, soil and plant moisture, and biomass density.
  • Demonstrated the capability to generate detailed agricultural information from UAV-based multispectral data.
  • Highlighted the efficiency and advantages of PIX4D Cloud Computing for data analysis.

Conclusions:

  • UAVs and multispectral photogrammetry are highly effective for detailed vineyard analysis.
  • This technology supports informed decision-making for efficient plantation management.
  • PIX4D Cloud Computing offers a powerful platform for processing and analyzing agricultural remote sensing data.