MDPI

Geomatics Template

Write in a clean editor, then format for Geomatics in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Geomatics format

Geomatics is a peer-reviewed journal published by MDPI, covering Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, 3D Surveying and Cultural Heritage. Over its lifetime it has published 271 papers, which have received 1,416 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Geomatics 2023, 12, 45–58.

Formats any DOI in Geomatics style. No sign-up.

Publishes research inRemote Sensing in Agriculture Remote Sensing and LiDAR Applications 3D Surveying and Cultural Heritage Land Use and Ecosystem Services Remote-Sensing Image Classification
ISSN2673-7418
Citation impact (2-yr)1.98
h-index19
i10-index48
Article processing charge$1,082
Open accessYes — indexed in DOAJ
Top institutions publishing hereUniversity of Calgary
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Geomatics per year

2
2020
26
2021
29
2022
30
2023
24
2024
80
2025

Citation impact of Geomatics by publication year

21
2020
306
2021
344
2022
369
2023
158
2024
167
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Geomatics

A Google Earth Engine Algorithm to Map Phenological Metrics in Mountain Areas Worldwide with Landsat Collection and Sentinel-2

Tommaso Orusa, Annalisa Viani, Duke Cammareri et al. · 21 Feb 2023

Google Earth Engine has deeply changed the way in which Earth observation data are processed, allowing the analysis of wide areas in a faster and more efficient way than ever before. Since its inception, many functions have been implemented by a rapidly expanding community, but none so far has focused on the computation of phenological…

Three Dimensional Change Detection Using Point Clouds: A Review

Abderrazzaq Kharroubi, Florent Poux, Zouhair Ballouch et al. · 17 Oct 2022

Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant noise and occlusion. To better understand new research perspectives in this field, a deep review of recent advances…

Use of Smartphone Lidar Technology for Low-Cost 3D Building Documentation with iPhone 13 Pro: A Comparative Analysis of Mobile Scanning Applications

Cigdem Askar, Harald Sternberg · 11 Dec 2023

Laser scanning technology has long been the preferred method for capturing interior scenes in various industries. With a growing market, smaller and more affordable scanners have emerged, offering end products with sufficient accuracy. While not on par with professional scanners, Apple has made laser scanning technology accessible to users with the introduction of the new…

Global Research Trends for Unmanned Aerial Vehicle Remote Sensing Application in Wheat Crop Monitoring

Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu et al. · 25 Jan 2023

Wheat is an important staple crop in the global food chain. The production of wheat in many regions is constrained by the lack of use of advanced technologies for wheat monitoring. Unmanned Aerial Vehicles (UAVs) is an important platform in remote sensing for providing near real-time farm-scale information. This information aids in making recommendations for…

Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data

Filippo Diara, Marco Roggero · 14 Jul 2022

This manuscript focuses on a quality assessment of DJI’s new sensors: the Zenmuse L1 and P1, which are LiDAR and photographic payload sensors, respectively, for UAVs/UASs. In particular, metric and statistical analyses aim to evaluate the data obtained from different 3D survey instruments. Furthermore, we compared these sensors with TLS data derived from a Trimble…

Geomatics template — frequently asked questions

How do I write a paper in the Geomatics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Geomatics template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Geomatics use?
Geomatics uses Numbered (MDPI) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Geomatics 2023, 12, 45–58.
Do I need to know LaTeX to submit to Geomatics?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready Geomatics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Geomatics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Geomatics format with correct headings, figures, tables, and numbered citations.
What is Geomatics?
Geomatics - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready Geomatics PDF?
Yes — DocuGuru produces a PDF built with the official Geomatics template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the Geomatics template cost?
You can start writing in the Geomatics template for free. Exporting the final submission-ready Geomatics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Geomatics template