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Related Concept Videos

Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
Introduction to Global Positioning System01:30

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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

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Laser-Induced Fluorescence Emission (L.I.F.E.) as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats
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Light-level geolocator analyses: A user's guide.

Simeon Lisovski1, Silke Bauer1, Martins Briedis1

  • 1Department of Bird Migration, Swiss Ornithological Institute, Sempach, Switzerland.

The Journal of Animal Ecology
|June 14, 2019
PubMed
Summary
This summary is machine-generated.

Light-level geolocator tags track animal migrations using ambient light data. This guide simplifies geolocator data analysis, covering twilight annotation, calibration, location refinement, and movement pattern extraction for better research insights.

Keywords:
FLightRGeoLightMovebankSGATanimal trackingarchival tagsprobGLSsolar geolocation

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Area of Science:

  • Ecology
  • Animal Behavior
  • Bio-logging

Background:

  • Light-level geolocator tags are crucial for tracking animal migrations, especially for small birds.
  • Analyzing geolocator data presents challenges due to complex methodologies and potential data caveats.
  • Several analytical approaches have been developed to address these complexities over the years.

Purpose of the Study:

  • To provide a practical guide for analyzing light-level geolocator data.
  • To explain the fundamental concepts behind geolocator data analysis.
  • To offer best practices and identify common pitfalls in geolocator data interpretation.

Main Methods:

  • Annotation of twilight periods from light-level data.
  • Calibration of geolocator devices for improved accuracy.
  • Estimation and refinement of animal locations using specialized algorithms.
  • Extraction of movement patterns and migration routes.

Main Results:

  • A comprehensive overview of geolocator data analysis steps.
  • Guidance on selecting appropriate analysis methods and tools.
  • Recommendations for interpreting, reporting, and archiving geolocator data.

Conclusions:

  • Geolocator data analysis is made more accessible through clear explanations and practical guidance.
  • The study emphasizes the importance of proper data handling, interpretation, and reporting for robust ecological research.
  • An accompanying online manual provides hands-on demonstrations with open-source tools.