Jove
Visualize
Contact Us

Related Concept Videos

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

223
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
223
Levels of Use of a GIS01:29

Levels of Use of a GIS

235
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...
235
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

214
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
214
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

326
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
326
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

524
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
524
Compass01:23

Compass

3.1K
The compass is a fundamental instrument that operates by aligning its magnetic needle with Earth's magnetic field. This alignment facilitates navigation and orientation, offering a means to determine direction relative to magnetic north. However, the magnetic needle points to magnetic north, which differs slightly from true geographic north due to magnetic declination, which is the angular deviation between these two points. Declination varies based on geographic location and shifts over time...
3.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2.

Scientific data·2022
Same author

Mask R-CNN-based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid-19 response in Khartoum, Sudan.

Transactions in GIS : TG·2021
Same authorSame journal

Big Earth data: disruptive changes in Earth observation data management and analysis?

International journal of digital earth·2020
Same author

GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation level 2 product generation - Part 1: Theory.

Cogent geoscience·2018
Same author

GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation level 2 product generation - Part 2: Validation.

Cogent geoscience·2018
Same author

Semantic and syntactic interoperability in online processing of big Earth observation data.

International journal of digital earth·2018
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Dec 8, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.2K

Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO)

Martin Sudmanns1, Dirk Tiede1, Hannah Augustin1

  • 1Department of Geoinformatics, University of Salzburg, Salzburg, Austria.

International Journal of Digital Earth
|September 17, 2020
PubMed
Summary

Sentinel-2 satellite data, crucial for Earth observation, shows uneven quality and availability. This study quantifies spatio-temporal coverage and cloudiness, revealing issues affecting remote sensing analyses.

Keywords:
Sentinel-2big Earth datacloud coverdigital earthglobal analysismetadatascene coverage

More Related Videos

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.8K
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.2K

Related Experiment Videos

Last Updated: Dec 8, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.2K
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

3.8K
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.2K

Area of Science:

  • Earth Observation
  • Remote Sensing
  • Geospatial Science

Background:

  • Sentinel-2 scenes are vital for operational Earth observation (EO) and Digital Earth initiatives.
  • Data quality and availability are not uniform due to cloud cover, geographic position, and acquisition schedules.
  • Spatio-temporal data inhomogeneity impacts large-scale remote sensing analyses.

Purpose of the Study:

  • To assess Sentinel-2 Level-1C metadata for 2017 to quantify spatio-temporal coverage and availability.
  • To analyze scene availability, cloudiness, and identify metadata quality issues.
  • To improve the selection and interpretation of Sentinel-2 data for remote sensing applications.

Main Methods:

  • Metadata assessment of all accessible Sentinel-2 Level-1C scenes from 2017.
  • Quantification of spatio-temporal coverage, scene availability, and cloudiness.
  • Global, multi-temporal spatial exploratory analysis of metadata.

Main Results:

  • Spatio-temporal coverage and availability of Sentinel-2 scenes were quantified.
  • Higher acquisition frequencies do not guarantee more cloud-free scenes.
  • Metadata quality issues were identified, including inaccurate cloud cover estimation at high altitudes.

Conclusions:

  • Understanding Sentinel-2 data's spatio-temporal characteristics is crucial for reliable remote sensing.
  • The EO-Compass web application aids in selecting and interpreting Sentinel-2 data.
  • Addressing data inhomogeneity and metadata quality is essential for advancing Earth observation.