Jove
Visualize
Contact Us
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 Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

25
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
25
Global Climate Change01:50

Global Climate Change

24.2K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.2K
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

40
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...
40
Levels of Use of a GIS01:29

Levels of Use of a GIS

41
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...
41
Thematic Layering in GIS01:30

Thematic Layering in GIS

30
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
30
Manipulation and Analysis01:21

Manipulation and Analysis

18
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
18

You might also read

Related Articles

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

Sort by
Same author

Abrupt permafrost thaw drives exceptional carbon release across the Tibetan Plateau.

Nature communications·2026
Same author

Intelligent sediment-groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment.

The Science of the total environment·2026
Same author

Rapid increase in West Siberia's retrogressive thaw slumps since 1964 associated with Arctic winter warming.

Scientific reports·2026
Same author

Permafrost-related hazard, vulnerability and risk estimates for cultural heritage and modern buildings in Svalbard.

Scientific data·2026
Same author

Canadian wildfires are losing their climate-cooling influence from postfire snow albedo.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Large stocks of permafrost soil organic carbon and nitrogen in Arctic river deltas.

Nature communications·2026
Same journal

Establishment of comparative transcriptome dataset related to nitrogen use efficiency in melon.

Scientific data·2026
Same journal

A chromosome-level reference genome assembly of the King Ratsnake (Elaphe carinata).

Scientific data·2026
Same journal

A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults.

Scientific data·2026
Same journal

A Multi-Regional Single-nucleus Atlas of the Huntington's Disease Brain.

Scientific data·2026
Same journal

A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy.

Scientific data·2026
Same journal

A Wearable Motion Capture Dataset for Gait Analysis Using IMUs and Shank-Mounted Egocentric Cameras.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2025

Removal of Exogenous Materials from the Outer Portion of Frozen Cores to Investigate the Ancient Biological Communities Harbored Inside
09:06

Removal of Exogenous Materials from the Outer Portion of Frozen Cores to Investigate the Ancient Biological Communities Harbored Inside

Published on: July 3, 2016

7.9K

A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards.

Yili Yang1, Heidi Rodenhizer2, Brendan M Rogers3

  • 1Woodwell Climate Research Center, 149 Woods Hole Road, Falmouth, MA, 02540-1644, USA. yyang@woodwellclimate.org.

Scientific Data
|January 6, 2025
PubMed
Summary
This summary is machine-generated.

Rapid Arctic warming causes landscape-altering retrogressive thaw slumps (RTS). We created the Arctic Retrogressive Thaw Slumps (ARTS) dataset and a curation framework to unify fragmented data for better Arctic permafrost research.

More Related Videos

In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.0K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

328

Related Experiment Videos

Last Updated: Jun 3, 2025

Removal of Exogenous Materials from the Outer Portion of Frozen Cores to Investigate the Ancient Biological Communities Harbored Inside
09:06

Removal of Exogenous Materials from the Outer Portion of Frozen Cores to Investigate the Ancient Biological Communities Harbored Inside

Published on: July 3, 2016

7.9K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.0K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

328

Area of Science:

  • Permafrost Science
  • Climate Change Research
  • Geomorphology

Background:

  • Arctic permafrost is rapidly changing due to global warming.
  • Retrogressive thaw slumps (RTS) are significant thermal-denudation events impacting Arctic landscapes and carbon cycles.
  • Existing RTS spatial data is fragmented across numerous standalone datasets, hindering large-scale analysis and model development.

Purpose of the Study:

  • To create a centralized, unified Arctic Retrogressive Thaw Slumps (ARTS) dataset.
  • To establish a Data Curation Framework for standardizing RTS digitizations.
  • To facilitate comprehensive Arctic permafrost research and collaboration.

Main Methods:

  • Consolidated 23,529 RTS-present and 20,434 RTS-absent digitisations from 20 existing datasets.
  • Developed a Data Curation Framework for RTS data standardization.
  • Ensured the dataset is comprehensive, accessible, contributable, and adaptable.

Main Results:

  • Established the Arctic Retrogressive Thaw Slumps (ARTS) dataset.
  • Introduced a standardized Data Curation Framework for RTS mapping.
  • Created a unified resource for studying RTS spatial distribution and impact.

Conclusions:

  • The ARTS dataset and curation framework address the limitations of fragmented data in RTS research.
  • This initiative promotes standardized data sharing and enhanced collaboration within the Arctic permafrost community.
  • Facilitates more comprehensive analyses of thaw slump dynamics and their role in Arctic environmental change.