SEVA: Scalable explorative change detection for big Sentinel-2 data

Description: SEVA is a scalable exploration tool that supports users to conduct change detection based on optical Sentinel-2 satellite observations. It supports the following essential steps of change detection: a) exploration and selection of optical satellite images to recognize proper data for the current application scenario, b) automated extraction of changes from the optical satellite images, c) analysis of errors and d) assessment and interpretation of the extracted changes.

Global identifier:

Doi(
    "10.5880/GFZ.1.4.2020.004",
)

Origins: /Wissenschaft/GFZ Data Services

Tags: Satellitenbild ? Satellitendaten ? Szenario ? Daten ? Fernerkundung ? EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION ? EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > GEOGRAPHIC INFORMATION SYSTEMS > WEB-BASED GEOGRAPHIC INFORMATION SYSTEMS ? change detection ? visualilsation ?

License: gpl/3.0

Language: Englisch/English

Organisations

• GFZ Helmholtz-Zentrum für Geoforschung (Herausgeberschaft)

Issued: 2020-01-01

Time ranges: 2020-01-01 - 2020-01-01

Status

Aktiv

Quality score

• Overall: 0.56
• Findability: 0.66

  • Title: 1.00
  • Description: 0.38
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  • Keywords: 0.56
  • Spatial: NoRegion (0.00)
  • Temporal: true
• Accessibility: 0.67

  • Landing page: Specific (1.00)
  • Direct access: false
  • Publicly accessible: true
• Interoperability: 0.25

  • Open file format: false
  • Media type: false
  • Machine-readable metadata: true
  • Machine-readable data: false
• Reusability: 0.67

  • License: ClearlySpecifiedAndFree (1.00)
  • Contact info: false
  • Publisher info: true

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