Skip Content
You are currently on the new version of our website. Access the old version .

Geomatics, Volume 5, Issue 3

2025 September - 22 articles

Cover Story: Accurate and cost-effective bathymetry is essential for coastal research, navigation safety, and habitat monitoring. This study develops an ensemble model, CatBoostOpt, to estimate bathymetry from high-resolution WorldView-2 multispectral imagery by learning correlations between the imagery and in situ Sound Navigation and Ranging (SONAR) bathymetry measurements collected along the survey trajectory. Validation across the Florida Big Bend coastline demonstrated that CatBoostOpt achieved an RMSE of 0.34 m and a coefficient of determination (R2) of 0.87, outperforming linear models, SVMs, random forests, and deep neural networks. These results highlight the effectiveness and scalability of data-driven multispectral bathymetry for complex coastal settings. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (22)

  • Technical Note
  • Open Access
1 Citations
1,350 Views
15 Pages

Assessing the Quality of GNSS Observations for Permanent Stations in Mexico (2020–2023)

  • Rosendo Romero-Andrade,
  • Karan Nayak,
  • Rafaela Mirasol Llanes-Hernández,
  • Norberto Alcántar-Elizondo,
  • Tiojari Dagoberto Guzmán-Galindo and
  • Yedid Guadalupe Zambrano-Medina

16 September 2025

A quality assessment of Global Navigation Satellite System (GNSS) observations was conducted for 95 Continuously Operating Reference Stations (CORSs) across Mexico over the period 2020–2023 using the ANUBIS software package. The evaluation was...

  • Article
  • Open Access
2,003 Views
23 Pages

12 September 2025

Remote sensing underpins significant twenty-first century technical capabilities and innovations. Thus, understanding the technical expertise and financial drivers of the field is of national and international importance, as they are inextricably lin...

  • Article
  • Open Access
1 Citations
2,032 Views
23 Pages

11 September 2025

Floods are among the most destructive natural disasters and can devastate human life, infrastructure, and mobility in urban areas. It is necessary to develop a simulation model suitable for disaster management to prepare for flooding and facilitate r...

  • Article
  • Open Access
2,136 Views
22 Pages

Investigations on the Impacts of Global Mass Density Model to Geoid Models in Java, Indonesia

  • Quinoza Guvil,
  • Dudy Darmawan Wijaya,
  • Brian Bramanto,
  • Kosasih Prijatna,
  • Irwan Meilano,
  • Cheinway Hwang,
  • Rahayu Lestari,
  • Arisauna Maulidyan Pahlevi,
  • Bagas Triarahmadhana and
  • Muhamad Irfan
  • + 2 authors

10 September 2025

This study evaluates the impact of incorporating lateral mass density variations into geoid models for Java, Indonesia, aiming to enhance the accuracy of regional geoid determinations. Geoid models have traditionally used a constant density assumptio...

  • Article
  • Open Access
3 Citations
2,335 Views
21 Pages

9 September 2025

Documenting and preserving cultural heritage assets is increasingly important, with threats from natural disasters, conflicts, climate change, and neglect, and some sites are both contested and physically difficult to access or document, posing the i...

  • Article
  • Open Access
1,948 Views
22 Pages

Modelling the Spatial Distribution of Soil Organic Carbon Using Machine Learning and Remote Sensing in Nevado de Toluca, Mexico

  • Carmine Fusaro,
  • Yohanna Sarria-Guzmán,
  • Francisco Erik González-Jiménez,
  • Manuel Saba,
  • Oscar E. Coronado-Hernández and
  • Carlos Castrillón-Ortíz

8 September 2025

Accurate soil organic carbon (SOC) estimation is critical for assessing ecosystem services, carbon budgets, and informing sustainable land management, particularly in ecologically sensitive mountainous regions. This study focuses on modelling the spa...

  • Article
  • Open Access
1 Citations
3,825 Views
22 Pages

Advancing Tree Species Classification with Multi-Temporal UAV Imagery, GEOBIA, and Machine Learning

  • Hassan Qasim,
  • Xiaoli Ding,
  • Muhammad Usman,
  • Sawaid Abbas,
  • Naeem Shahzad,
  • Hatem M. Keshk,
  • Muhammad Bilal and
  • Usman Ahmad

7 September 2025

Accurate classification of tree species is crucial for forest management and biodiversity conservation. Remote sensing technology offers a unique capability for classifying and mapping trees across large areas; however, the accuracy of extracting and...

  • Article
  • Open Access
1,055 Views
19 Pages

Spatial Variability and Geostatistical Modeling of Soil Physical Properties Under Eucalyptus globulus Plantations

  • Javier Giovanni Álvarez-Herrera,
  • Marilcen Jaime-Guerrero and
  • Carlos Julio Fernández-Pérez

4 September 2025

Agricultural productivity is closely linked to the spatial variability of soil physical properties. However, high variability makes it difficult to implement effective management strategies, and the constant expansion of eucalyptus plantations in cer...

  • Article
  • Open Access
2,486 Views
23 Pages

Potential of Remote Sensing for the Analysis of Mineralization in Geological Studies

  • Ilyass-Essaid Lerhris,
  • Hassan Admou,
  • Hassan Ibouh and
  • Noureddine El Binna

1 September 2025

Multispectral remote sensing offers powerful capabilities for mineral exploration, particularly in regions with complex geological settings. This study investigates the mineralization potential of the Tidili region in Morocco, located between the Sou...

  • Article
  • Open Access
1 Citations
2,748 Views
33 Pages

The Impact of Signal Interference on Static GNSS Measurements

  • Željko Bačić,
  • Danijel Šugar and
  • Zvonimir Nevistić

Global navigation satellite systems (GNSSs) are an integral part of modern society and are used in various industries, providing users with positioning, navigation, and timing (PNT). However, their effectiveness is vulnerable to signal interference,...

  • Article
  • Open Access
1 Citations
1,506 Views
17 Pages

Spatiotemporal Exposure to Heavy-Day Rainfall in the Western Himalaya Mapped with Remote Sensing, GIS, and Deep Learning

  • Zahid Ahmad Dar,
  • Saurabh Kumar Gupta,
  • Shruti Kanga,
  • Suraj Kumar Singh,
  • Gowhar Meraj,
  • Pankaj Kumar,
  • Bhartendu Sajan,
  • Bojan Đurin,
  • Nikola Kranjčić and
  • Dragana Dogančić

Heavy rainfall events, characterized by extreme downpours that exceed 100 mm per day, pose an intensifying hazard to the densely settled valleys of the western Himalaya; however, their coupling with expanding urban land cover remains under-quantified...

  • Article
  • Open Access
1,677 Views
24 Pages

Dynamics of Water Quality in the Mirim–Patos–Mangueira Coastal Lagoon System with Sentinel-3 OLCI Data

  • Paula Andrea Contreras Rojas,
  • Felipe de Lucia Lobo,
  • Wesley J. Moses,
  • Gilberto Loguercio Collares and
  • Lino Sander de Carvalho

The Mirim–Patos–Mangueira coastal lagoon system provides a wide range of ecosystem services. However, its vast territorial extent and the political boundaries that divide it hinder integrated assessments, especially during extreme hydrolo...

  • Communication
  • Open Access
880 Views
12 Pages

Integrating diverse image datasets acquired from different satellites is challenging. Converting images from one sensor to another, like from WorldView-3 (WV) to SuperDove (SD), involves both changing image channel wavelengths and per-band intensity...

  • Article
  • Open Access
2 Citations
1,613 Views
23 Pages

Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-Spectral Images

  • Kazi Aminul Islam,
  • Omar Abul-Hassan,
  • Hongfang Zhang,
  • Victoria Hill,
  • Blake Schaeffer,
  • Richard Zimmerman and
  • Jiang Li

Traditional bathymetry measures require a large number of human hours, and many bathymetry records are obsolete or missing. Automated measures of bathymetry would reduce costs and increase accessibility for research and applications. In this paper, w...

  • Perspective
  • Open Access
848 Views
15 Pages

Capturing the interactions between moving objects is vital in traffic analysis, sports, and animal behavior, but remains challenging because of subtle spatiotemporal dynamics. This paper introduces HAIMO (Hybrid Analysis of the Interaction of Moving...

  • Article
  • Open Access
3,403 Views
25 Pages

Individual tree crown detection (ITCD) and tree species classification are critical for forest inventory, species-specific monitoring, and ecological studies. However, accurately detecting tree crowns and identifying species in structurally complex f...

  • Article
  • Open Access
2 Citations
1,237 Views
18 Pages

Can Combining Machine Learning Techniques and Remote Sensing Data Improve the Accuracy of Aboveground Biomass Estimations in Temperate Forests of Central Mexico?

  • Martin Enrique Romero-Sanchez,
  • Antonio Gonzalez-Hernandez,
  • Efraín Velasco-Bautista,
  • Arian Correa-Diaz,
  • Alma Delia Ortiz-Reyes and
  • Ramiro Perez-Miranda

Estimating aboveground biomass (AGB) is crucial for understanding the carbon cycle in terrestrial ecosystems, particularly within the context of climate change. Therefore, it is essential to research and compare different methods of AGB estimation to...

  • Article
  • Open Access
5 Citations
3,674 Views
20 Pages

The use of Google Earth Engine (GEE), a cloud-based computing platform, in spatio-temporal evaluation studies has increased rapidly in natural sciences such as forestry. In this study, Sentinel-2 satellite imagery and Shuttle Radar Topography Mission...

  • Article
  • Open Access
1,531 Views
16 Pages

This research examines the performance of the affordable Xiaomi 11T smartphone in static positioning mode. Static Global Navigation Satellite System (GNSS) measurements are acquired over a two-hour period with a known reference point, spanning three...

  • Review
  • Open Access
6 Citations
5,955 Views
42 Pages

With the continuous advancement of remote sensing technology and its growing importance, the need for ready-to-use data has increased exponentially. Satellite platforms such as Sentinel-2, which carries the Multispectral Instrument (MSI) sensor, know...

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Geomatics - ISSN 2673-7418