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international journal of remote sensing

ISSN 0143-1161· EN

Journal Website Certificate of Indexing
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31.2 / 100
Journament Score
Poor
Ranked #21,642 of 29,189 scored journals (33,995 indexed)
30 Articles
Scores higher than 25.8% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name international journal of remote sensing
Abbreviated Name international journal of remote sensing
ISSN 0143-1161
URL https://www.tandfonline.com/toc/tres20/current

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.3 30.1
Accessibility 20.0 18.5
Timeliness 0.0 22.4
Diversity 68.5 29.3
Innovation 3.0 32.1
Community Impact 4.3 15.2
Content Distribution 75.2 88.4
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (30)

2017
Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales
Hall-Beyer, M.
Vol. 38 , pp. 1312-1338
354 views DOI
2019
Comparison of seasonal surface temperature trend, spatial variability, and elevation dependency from satellite-derived products and numerical simulations over the Tibetan Plateau from 2003 to 2011
Ouyang, X.
Vol. 40 , pp. 1844-1857
346 views DOI
2019
Combining multi-scale textural features from the panchromatic bands of high spatial resolution images with ANN and MLC classification algorithms to extract urban land uses
Saboori, M.
Vol. 40 , pp. 8608-8634
310 views DOI
2019
Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient
Zhou, Z.
Vol. 40 , pp. 8764-8792
290 views DOI
2019
A study of the impact of spatial resolution on the estimation of particle matter concentration from the aerosol optical depth retrieved from satellite observations
Mei, L.
Vol. 40 , pp. 7084-7112
289 views DOI
2019
Integrating a scale-invariant feature of fractal geometry into the Hopfield neural network for super-resolution mapping
Su, Y.
Vol. 40 , pp. 8933-8954
283 views DOI
2019
Mapping bamboo with regional phenological characteristics derived from dense Landsat time series using Google Earth Engine
Zhang, M.
Vol. 40 , pp. 9541-9555
276 views DOI
2020
Artificial neural networks for cloud masking of Sentinel-2 ocean images with noise and sunglint
Kristollari, V.
Vol. 41 , pp. 4102-4135
274 views DOI
2019
Discriminating native and plantation forests in a Landsat time-series for land use policy design
Nery, T.
Vol. 40 , pp. 4059-4082
274 views DOI
2019
Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control
Malahlela, O.
Vol. 40 , pp. 5917-5937
272 views DOI
2020
Extracting soil salinization information with a fractional-order filtering algorithm and grid-search support vector machine (GS-SVM) model
Wang, X.
Vol. 41 , pp. 953-973
220 views DOI
2020
Artificial neural networks for cloud masking of Sentinel-2 ocean images with noise and sunglint
Kristollari, V.
Vol. 41 , pp. 4102-4135
274 views DOI
2020
Geo-parcel-based crop classification in very-high-resolution images via hierarchical perception
Sun, Y.
Vol. 41 , pp. 1603-1624
130 views DOI
2020
Improved Iterative Closest Point(ICP) 3D point cloud registration algorithm based on point cloud filtering and adaptive fireworks for coarse registration
Shi, X.
Vol. 41 , pp. 3197-3220
208 views DOI
2020
Research on a novel extraction method using Deep Learning based on GF-2 images for aquaculture areas
Cheng, B.
Vol. 41 , pp. 3575-3591
149 views DOI
2020
Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery
Huang, H.
Vol. 41 , pp. 3446-3479
246 views DOI
2020
Mapping a lithologically complex terrain using Sentinel-2A data: a case study of Suriyan area, southwestern Iran
Tangestani, M.
Vol. 41 , pp. 3558-3574
172 views DOI
2020
Extracting tidal creek features in a heterogeneous background using Sentinel-2 imagery: a case study in the Yellow River Delta, China
Gong, Z.
Vol. 41 , pp. 3653-3676
210 views DOI
2020
Landslide mapping with remote sensing: challenges and opportunities
Zhong, C.
Vol. 41 , pp. 1555-1581
128 views DOI
2020
Assessing the contributions of climate change and human activities to cropland productivity by means of remote sensing
Yan, Y.
Vol. 41 , pp. 2004-2021
164 views DOI
Journament Score
31.2/100 · Poor
Ranked #21,642 of 29,189 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

31.2/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.3/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

68.5/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

3.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

4.3/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

75.2/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.