Photogrammetric Engineering and Remote Sensing

Aims & Scope

Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology.

Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers.

We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2

SJR (SCImago Journal Rank)

Year	Value
2024	0.442

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	146

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Development of a 2001 National Land-Cover Database for the United States

  Citation: 1157

  Authors: Collin, Chengquan, Limin, Bruce, Michael

• Thematic Map Comparison

  Citation: 928

  Authors: Giles M.

• A Global Assessment of the SRTM Performance

  Citation: 833

  Authors: Ernesto, Charles S., J. Eric

• MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery

  Citation: 793

  Authors: B., L., S., A., M.

• Multispectral and Panchromatic Data Fusion Assessment Without Reference

  Citation: 759

  Authors: Luciano, Bruno, Stefano, Andrea, Filippo, Massimo

• Analysis of Dynamic Thresholds for the Normalized Difference Water Index

  Citation: 635

  Authors: Lei, Li, Bruce

• Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)

  Citation: 622

  Authors: Gonzalo

• Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery

  Citation: 594

  Authors: Qian, Peng, Nick, Greg, Maggi, Dave

• A New Method for Segmenting Individual Trees from the Lidar Point Cloud

  Citation: 588

  Authors: Wenkai, Qinghua, Marek K., Maggi

• Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data

  Citation: 462

  Authors: Qi, Dennis, Peng, Maggi

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