International Journal of Remote Sensing

Taylor & Francis

Journal websitePeer review: Peer review
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About the journal

International Journal of Remote Sensing is a journal published by Taylor & Francis in United Kingdom. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Taylor & Francis
ISSN
0143-1161 · 1366-5901
Country
United Kingdom
Access
Not open access / not declared
Declared peer-review model
peer_review

Index listings

  • PUBMED · 2007-01-01
Indexing
PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

14862

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

267

i10-index

8935

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2027
Level 2 — top tier (~20% of the field's channels)
Open references deposited at Crossref
99%
ORCID iDs in current deposits
61%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity4
Alternate titles
Remote sensing
Source type
journal
NLM unique ID (PubMed)
9878707
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Remote Sensing in Agriculture
  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Remote-Sensing Image Classification
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • Remote Sensing and Land Use
Show all subjects (50)
  • Land Use and Ecosystem Services
  • Land Use and Ecosystem Services
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Soil Moisture and Remote Sensing
  • Soil Moisture and Remote Sensing
  • Marine and coastal ecosystems
  • Marine and coastal ecosystems
  • Geochemistry and Geologic Mapping
  • Geochemistry and Geologic Mapping
  • Advanced Image Fusion Techniques
  • Advanced Image Fusion Techniques
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Urban Heat Island Mitigation
  • Urban Heat Island Mitigation
  • Oceanographic and Atmospheric Processes
  • Cryospheric studies and observations
  • Oceanographic and Atmospheric Processes
  • Cryospheric studies and observations
  • Atmospheric aerosols and clouds
  • Atmospheric aerosols and clouds
  • Soil Geostatistics and Mapping
  • Soil Geostatistics and Mapping
  • Plant Water Relations and Carbon Dynamics
  • Plant Water Relations and Carbon Dynamics
  • Atmospheric Ozone and Climate
  • Atmospheric Ozone and Climate
  • Ocean Waves and Remote Sensing
  • Ocean Waves and Remote Sensing
  • Atmospheric chemistry and aerosols
  • Meteorological Phenomena and Simulations
  • Atmospheric chemistry and aerosols
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Climate variability and models
  • Climate change and permafrost
  • Climate change and permafrost
  • Satellite Image Processing and Photogrammetry
  • Satellite Image Processing and Photogrammetry
  • Species Distribution and Climate Change
  • Species Distribution and Climate Change

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: