Journals

 Editor, member of editorial boards 

 

Editor-in-Chief

 Nova Geodesia 

https://novageodesia.ro/

 

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Board member – Editorial Staff

Agriculture and Forestry

http://www.agricultforest.ac.me/

   

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Board member – Reviewer Board

Forests (MDPI)

Reviewer Board https://www.mdpi.com/journal/forests https://www.mdpi.com/journal/forests/submission_reviewers Impact factor and statistics!  

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Agriculture (MDPI)

Reviewer Board

 

https://www.mdpi.com/journal/agriculture/submission_reviewers Impact factor and statistics!  

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Geosciences (MDPI)

Reviewer Board https://www.mdpi.com/journal/geosciences/submission_reviewers CiteScore and statistics!    

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Guest Editor

Special Issue of AIMS Geosciences

AIMS Geosciences

Special Issue: Advances in Landslide Disasters

Guest Editors

Shuraik Kader
School of Engineering and Built Environment, Griffith University, Nathan Campus, 170 Kessels road, QLD 4111, Australia
Email: s.mohamedabdulkader@griffith.edu.au ; shuraik.mohamedabdulkader@griffithuni.edu.au ; shuraik10@gmail.com

Dr. Paul Sestras
Department of Land Measurements and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, 400020 Cluj-Napoca, Romania
Email: Paul.Sestras@mtc.utcluj.ro

Prof. Velibor Spalevic
Biotechnical Faculty, University of Montenegro, Podgorica, 81000, Montenegro
Email: velibor.spalevic@gmail.com

Manuscript Topics

Landslides are a significant natural hazard that can lead to catastrophic damage, loss of life, and environmental degradation. As global climate change, urbanization, and land-use changes accelerate, the frequency and severity of landslide events are expected to increase. Advances in understanding landslide mechanisms, prediction, and mitigation strategies are crucial for reducing the risk associated with these disasters. This special issue aims to present the latest research footprints on landslide dynamics, monitoring technologies, risk assessment, and innovative mitigation strategies. Contributions that explore the interplay between landslides and climate change, the role of advanced modeling, remote sensing technologies, region-specific studies, risk assessment and risk reduction using frameworks, community-based approaches in landslide disaster management, and multidisciplinary studies covering landslides aspects are particularly encouraged but not limited to these disciplines. We invite original research, reviews, and case studies that addresses these topics and provide valuable insights into improving resilience against landslide disasters.

1. Landslide Triggering Mechanisms and Factors: Investigating the geotechnical, hydrological, and climatic factors that contribute to landslide initiation  
2. Climate Change Impact on Landslide Frequency And Magnitude: Assessing how changing climate patterns influence landslide frequency, susceptibility, and severity  
3. Landslide Monitoring and Early Warning Systems: Advances in remote sensing, GIS, and sensor technologies for real-time landslide detection and prediction  
4. Risk Assessment and Vulnerability Mapping: Developing models and tools for assessing landslide risk and identifying vulnerable areas and populations  
5. Innovative landslide Mitigation and Stabilization Techniques: Exploring new engineering methods and technologies for landslide prevention and control  
6. Socioeconomic and Environmental Impacts of Landslides: Examining the effects of landslides on communities, infrastructure, and ecosystems  
7. Case studies of Landslide Events and Management Strategies: Documenting lessons learned from recent landslide disasters and evaluating the effectiveness of response and recovery efforts

Instruction for Authors
http://www.aimspress.com/aimsgeo/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 March 2025
 

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Guest Editor

Special Issue of Forests

Forest Ecology and Resource Monitoring Based on Sensors, Signal and Image Processing

https://www.mdpi.com/journal/forests/special_issues/4M52KG1F66

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section Forest Inventory, Modeling and Remote Sensing.

Deadline for manuscript submissions: 31 July 2024

Special Issue Editors
Prof. Dr. Yili Zheng E-Mail Website
Guest Editor
 
School of Technology, Beijing Forestry University, Beijing 10083, China
Interests: sensors and monitoring technologies
Prof. Dr. Xinwen Yu 
E-Mail Website
Guest Editor
 
Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 10091, China
Interests: internet of things; artificial intelligence; forest ecology and resource monitoring
E-Mail Website
Guest Editor
 
Department of Land Measurements and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Interests: topography; land survey; construction surveying; mapping; cadastre; UAV photogrammetry; GIS
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yue Zhao 
E-Mail Website
Guest Editor
 
School of Technology, Beijing Forestry University, Beijing 100083, China
Interests: artificial intelligence; machine learning; signal and image processing
Dr. Guang Deng 
E-Mail Website
Guest Editor
 
Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 10091, China
Interests: internet of things; artificial intelligence; forest ecology and resource monitoring
 
College of Engineering, Science and Environment, School of Engineering, Callaghan, Australia
Interests: evapotranspiration; soil moisture; irrigation; hydrological modeling; ecohydrology; remote sensing of vegetation; solar radiation; landscape evolution; water resources; net radiation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

1. Background & history of this topic

Advanced sensors, signal, and image processing technologies have the potential to monitor the health and growth of forests, detecting wildlife and habitat changes, and to identify potential threats such as insect infestations or wildfires. This critical study field provides valuable insights into pressing forest ecology and resource challenges and helps us develop sustainable forest management and biodiversity conservation practices.

2. Aim and scope of the Special Issue:

This Special Issue aims to bring together researchers from various disciplines, including ecology, forestry, remote sensing, signal processing, and image analysis, to share their latest findings and insights.

  • Smart sensors and IoT for forest ecology and resource management.
  • Satellite or UAV remote sensing and image analysis for forest ecology and resource monitoring.
  • Artificial intelligence and machine learning for forest ecology and resource monitoring
  • Audio, image, and video processing for wildlife and plant monitoring.
  • Automatic monitoring of forest carbon stocks and fluxes, LiDAR technology for forest structure, and biomass estimation.
  • Other novel and practical technologies for forest ecology and resource monitoring.

3. Cutting-edge research

  • Development and application of novel forest environmental, soil, vegetation, and wildlife sensors.
  • Signal and image processing with data fusion, artificial intelligence, and machine learning.
  • Satellite or UAV remote sensing, light detection, and ranging (LiDAR) for forest resource monitoring.
  • Automatic monitoring of forest carbon stocks and fluxes.
  • Audio, image, and video processing for wild animal and plant monitoring.

4. What kind of papers we are soliciting
The papers submitted to this Special Issue should be focused on advancing our understanding of how advanced sensors, artificial intelligence, and signal and image processing can improve forest ecology and resource monitoring effectively and should present novel insights or approaches that advance the field.

Prof. Dr. Yili Zheng
Prof. Dr. Xinwen Yu
Dr. Paul Sestras
Prof. Dr. Yue Zhao
Dr. Guang Deng
Dr. Ankur Srivastava
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.

Keywords

  • sensors
  • remote sensing
  • LiDAR
  • artificial intelligence
  • machine learning
  • IoT (internet of things)
  • ecology monitoring
  • resource monitoring
  • carbon sequestration monitoring
  • wildlife and plant monitoring

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Special Issue of Forests

Data Acquisition, Methods and Techniques Applied in Sustainable Forest Management and Hazard Mapping

https://www.mdpi.com/journal/forests/special_issues/forest_hazard_geospatial_data

Special Issue Information

Dear Colleagues,

In the current context of urban area expansion, population growth, and the increase in industrial and agricultural activity near forest areas, the importance of sustainable forest management (SFM) with hazard mapping and monitoring is imperative. The backbone to many applications of SFM and hazard mapping is the access to accurate and efficiently acquired geospatial data. Because forests are one of the most complex ecological systems on Earth, forest management and inventory was always a challenge to specialists, researchers, and public authorities. In addition to the constant issues related to social, economic, and legal aspects related to forest management, the technical aspects have progressed significantly and modern data acquisition has never been more accessible to the public and research sector. This Special Issue aims to present and promote original scientific contributions in regard to modern and efficient data acquisition in a wide range of interdisciplinary applications related to sustainable forest management and natural hazards within forests. Thus, new tools and best practices, both in terms of data capture and in their processing and modelling, can be implemented in this rapidly evolving field.

Topics of interest include, but are not limited to:
  • New tools and techniques in tree and forest measurement;
  • Dendrometry, from the traditional forest inventory to modern solutions and practices;
  • Land surveying in forests, from the established topographic field instrumentations (total stations, GNSS systems, TLS, etc.) to the new methods based on optical remote sensing (UAV or airborne platforms for LiDAR and digital photogrammetry, InSAR, satellite images, etc.);
  • Challenges and advances in forest cadastre;
  • Integrating models, methods, techniques and tools for geospatial applications in forestry;
  • GIS applications in forest management, policy, and decision-making;
  • Best practices, guidelines, and planning using acquired or open-sourced geospatial data;
  • Mapping and monitoring urban forests;
  • Precision forestry for SFM;
  • Integration of field data and sensors in decision support systems;
  • Spatial analysis and the influence of geographical origin on tree characteristics;
  • Geospatial data for landscape and ecology assessment;
  • Techniques for vegetation structure modelling and biomass assessment;
  • Forest dynamics and the environmental/ecological implications;
  • Forest hazard susceptibility and mapping based on acquired geospatial data;
  • Assessment of landslides and flash floods in forests based on geomatics tools;
  • Disaster prevention and risk mitigation of forest hazards based on geostatistics and field data.

Keywords

  • forest surveying methods
  • sustainable forest management
  • forest cadastre
  • forest management planning
  • dendrometry
  • monitoring and mapping
  • GIS and remote sensing
  • data integration
  • natural hazards
  • hazard and risk assessment
  • susceptibility and hazard mapping

 

Special Issue Editors

Dr. Paul Sestras
Website SciProfiles
Guest Editor
Department of Land Measurements and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
Interests: topography; land survey; construction surveying; mapping; cadastre; UAV photogrammetry; GIS Special Issues, Collections and Topics in MDPI journals
 
Prof. Dr. Ștefan Bilașco
Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania Interests: GIS spatial analysis; geoinformatics; geomatics; remote sensing; environmental impact; digital cartography Special Issues, Collections and Topics in MDPI journals
 
Prof. Dr. Mihai Nita
Website
Guest Editor
Department of Forest Engineering, Universitatea Transilvania Brasov, Braşov, Romania Interests: remote sensing; GIS; forest and water; forest management; machine learning Special Issues, Collections and Topics in MDPI journals
 
Dr. Sanda Roșca
Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania Interests: GIS modelling; forest favorability; landslide dynamics; land evaluation; environmental impact assessment; multirisk Special Issues, Collections and Topics in MDPI journals

Special Issue Information

 

 

 

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Applied Sciences (MDPI)

Impact factor and statistics!

Special Issue of Applied Sciences

GIS Methods, Models and Applications in Interdisciplinary Studies

Special Issue Information

Dear Colleagues, The main themes of this Special Issue include status analysis using GIS technology in order to develop methods of spatial analysis or geographical linkages to applied interdisciplinary research, innovative methods of research and data integration, as well as the processing and visualization of research results using the tools of spatial analysis and cartography.

Keywords

  • GIS modelling
  • Remote sensing and GIS
  • Spatial analysis
  • Physical geography
  • Field experimentation and GIS Processing
  • Methodological aspects of forest monitoring
  • Geomorphological analysis and mapping
  • Fluvial dynamics
  • Hazard scenario analysis
  • Soil erosion and land degradation
  • Multirisk assessment
  • Terrain analysis
  • Regional planning
  • Modern land survey and topography
  • GIS assessment in cadastre and technical documentation

Guest Editors

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section Earth Sciences and Geography. Deadline for manuscript submissions: closed (31 December 2021)  

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Special Issue of Applied Sciences

Modern Geospatial Data Acquisition, Tools and Applications in Interdisciplinary Research

https://www.mdpi.com/journal/applsci/special_issues/Modern_Geospatial

Special Issue Information

Dear Colleagues, The access to geospatial data is the backbone to numerous fields of research related to the fields of geodesy, geosciences, civil engineering, environmental studies, precision in agriculture, and forestry, etc. Thanks to the ongoing advances in instrumentation, software, and availability of open source data, data acquisition has never been more accessible to the public and research sectors. Geospatial techniques are efficient tools for the mapping, monitoring, and assessment of lands. An accurate land survey and field data acquisition can help scientists, policymakers, and stakeholders to improve the decision-making process in regards to better management, planning, and design. Thus, new tools and best practices, both in terms of data capture and in their processing and modelling, can be deployed to identify the most efficient solutions in a rapidly evolving field. This Special Issue aims to present and promote original scientific contributions to the concepts, technologies, methods, and tools in the acquisition and processing of geospatial data in a wide range of interdisciplinary applications. Topics of interest include, but are not limited to, the following:
  • New tools and techniques in field data acquisition, from the traditional topographic-geodetic instrumentations (total stations, GNSS systems, TLS, etc.) to the modern solutions (UAV, LiDAR, digital photogrammetry, satellite images, etc.);
  • Models, methods, techniques, and tools for geospatial applications;
  • Integrating modern techniques of data acquisition in cadastre and technical documentation in order to increase productivity and mitigate field risk;
  • Improving the traditional topographic surveys with the help of geomatics tools and GIS applications;
  • Advances in 3D modelling;
  • New developments in sensors for surveying and monitoring;
  • Surveying methods for monitoring and documentation of the built environment;
  • Techniques for 3D data acquisition and objects reconstruction/modelling;
  • Best practices, guidelines, and planning using acquired geospatial data;
  • Mapping and monitoring in a rapidly urbanizing world;
  • GIS applications in land management, land policy, and decision making.

Keywords

  • land survey
  • data acquisition
  • geodesy
  • remote sensing
  • geosciences
  • digitalisation
  • GIS
  • topography
  • instrumentation
  • cadastre

Guest Editors

Special Issue Editors

Dr. Paul Sestraș
Website
Guest Editor
Department of Land Measurements and Cadastre, Faculty of Civil Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania Interests: topography; land survey; construction survey; mapping; cadastre; UAV photogrammetry Special Issues, Collections and Topics in MDPI journals
Dr. Sanda Roșca
Website
Guest Editor
Faculty of Geography, Babes Bolyai University, Cluj-Napoca, Romania Interests: GIS modelling; forest favourability; landslide dynamics; land evaluation; environmental impact assessment; multirisk Special Issues, Collections and Topics in MDPI journals

Special Issue Information

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section Earth Sciences and Geography. Deadline for manuscript submissions: 31 December 2022  

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Special Issue of Frontiers in Built Environment 

Geosciences and Data Acquisition for Civil Applications: Current Practices and Future Challenges 

https://www.frontiersin.org/research-topics/44002/geosciences-and-data-acquisition-for-civil-applications-current-practices-and-future-challenges

About this Research Topic

Abstract Submission Deadline 01 October 2022
Manuscript Submission Deadline 30 November 2022
 

 

The access to geospatial data is the backbone to numerous research fields related to engineering. Thus, geosciences, civil engineering, geodesy coexist and overlap in certain aspects and areas. All civil engineering projects require reliable and accurate geospatial data, from the inception and design phase, to the on-site construction surveying and the later as-built survey and monitoring process. The role of geodetic engineering and specialists in the construction industry is of very great extent, that incorporates both technical aspects related to field data acquisition and precision measurements, as well as the legal aspects of the property law, boundaries and cadastre in general. Although the innovation level of construction surveying in civil engineering projects is mostly low, there is a huge potential to improve the level of data acquisition by means of modern instrumentation such as UAV photogrammetry and terrestrial or airborne LiDAR, automation in data processing, implementing GIS and spatial analysis as well as 3D modelling and reconstruction.

Thanks to the ongoing advances over the last few decades in terms of instrumentation, software and availability to open-source data, data acquisition has never been more accessible to the public and research sector. Geospatial techniques are efficient tools for mapping and providing accurate representation of the Earth’s surface, which is vital in any feasibility and planning process of civil applications. An accurate land survey and field data acquisition can help specialists, scientists, policymakers and stakeholders in the decision-making process, to better management, planning and design. Thus, new tools and best practices, both in terms of instrumentation and sensors for data capture and in their processing and modelling techniques, can be deployed to provide the most efficient solutions in a rapidly-evolving field. The use of Unmanned Aircraft Systems (UASs), also known as drones, has increased tremendously in the last decade, and is considered a quantum leap for the industry. The cost reduction of these platforms, coupled with their ability to reach difficult to access areas make them the perfect tools for performing different civil applications. In addition, several sensors can be equipped in order to capture different field data that enable the creation of outputs and deliverables useful for the construction industry. Through the geomatic techniques of digital photogrammetry, remote sensing, laser scanning based on different types of sensors mounted on these vehicles, UASs provide a versatile and economical option for data acquisition. These implementations can range from the conventional topographic and cadastral mapping, to GIS spatial analysis, BIM implementations, 3D modelling and reconstruction, structural and land monitoring, construction site inspections and construction progress monitoring.

This Research Topic aims to present and promote original scientific contributions to the concepts, technologies, methods, and tools in the acquisition and processing of geospatial data in a wide range of civil engineering applications. This will provide a platform for bringing these current practices of geoscience in civil applications, as well as the advancements and future challenges to a much larger scientific community. Original articles and review articles are invited in the fields of geodesy, topography, geosciences and geomatics that provide solutions to support specific civil engineering applications. Potential topics include but are not limited to the following:


• New tools and techniques in field data acquisition useful in the construction industry, from the traditional topographic-geodetic instrumentations (total stations, GNSS systems etc.) to the modern solutions (UAV, terrestrial or airborne LiDAR, digital photogrammetry, SAR, satellite images, etc.);
• Improving the traditional topographic surveys with the help of geomatics tools with GIS & BIM implementation;
• Surveying methods, new developments in sensors, best practices and guidelines, for monitoring and documentation of the built environment;
• Advances in 3D modelling and reconstruction, heritage conservation and management;
• Mapping and monitoring in a rapidly urbanizing world;
• Integrating modern techniques of data acquisition in cadastre and technical documentation in order to increase productivity and mitigate field risk.

Keywords: Unmanned Aerial Vehicles, 3D Modelling, Remote Sensing, Geosciences, GIS and Spatial Analysis, Geodetic and Topographic Instrumentation, Cadastre


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.



Topic Editors

Paul Sestras

Technical University of Cluj-Napoca

Cluj-Napoca, Romania

Valeria-Ersilia Oniga

Gheorghe Asachi Technical University of Iași

Iași, Romania

Joao Catalao

Faculty of Sciences, University of Lisbon

Lisbon, Portugal

 

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