Frontiers in Remote Sensing

Scope & Guideline

Unlocking the potential of remote sensing for global progress.

Introduction

Welcome to your portal for understanding Frontiers in Remote Sensing, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN-
PublisherFRONTIERS MEDIA SA
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationFRONT REMOTE SENS / Front. Remote Sens.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND

Aims and Scopes

The journal 'Frontiers in Remote Sensing' is dedicated to advancing the field of remote sensing through innovative research, addressing both fundamental and applied aspects. It focuses on the development and application of remote sensing technology to understand and monitor the Earth's environment, providing valuable insights into various ecological and anthropogenic processes.
  1. Innovative Remote Sensing Techniques:
    The journal emphasizes the development and application of cutting-edge remote sensing technologies, including satellite, UAV, and in-situ measurements, to enhance data collection and analysis.
  2. Environmental Monitoring and Management:
    Research published in the journal often centers on using remote sensing data to monitor environmental changes, such as deforestation, urbanization, land use changes, and climate impacts, thereby contributing to better management practices.
  3. Integration of Machine Learning and AI:
    A significant focus on the integration of machine learning and artificial intelligence methodologies to improve the analysis and interpretation of remote sensing data, allowing for more accurate predictions and classifications.
  4. Marine and Atmospheric Studies:
    The journal frequently covers studies related to ocean and atmospheric phenomena, including ocean color monitoring, aerosol retrievals, and climate studies, highlighting the role of remote sensing in understanding complex environmental systems.
  5. Biodiversity and Habitat Monitoring:
    Contributions often include research on monitoring biodiversity and ecosystem health through remote sensing, utilizing both acoustic and optical data to assess habitat conditions and species distributions.
Recent publications in 'Frontiers in Remote Sensing' have highlighted several emerging themes that reflect the evolving landscape of remote sensing research. These trends indicate a growing interest in integrating advanced technologies and interdisciplinary approaches.
  1. Deep Learning in Remote Sensing:
    There is a marked increase in the application of deep learning techniques for analyzing remote sensing data, enhancing capabilities in object detection, land cover classification, and environmental monitoring.
  2. Real-Time Data Processing and Applications:
    A trend towards real-time processing of remote sensing data has emerged, particularly in applications related to disaster management and environmental monitoring, highlighting the need for timely responses to ecological changes.
  3. Interdisciplinary Research Approaches:
    Emerging themes show a growing trend towards interdisciplinary research that combines remote sensing with fields such as ecology, health, and urban planning, leading to more holistic studies of complex environmental issues.
  4. Focus on Climate Change Indicators:
    Research is increasingly focusing on using remote sensing to monitor climate change indicators, such as greenhouse gas emissions, land surface temperature variations, and changes in ice coverage, reflecting the urgent need for climate action.
  5. Acoustic Remote Sensing:
    The integration of acoustic monitoring techniques with traditional remote sensing methods is gaining traction, particularly in marine environments, to assess biodiversity and ecosystem health, indicating a broader scope of ecological monitoring.

Declining or Waning

While 'Frontiers in Remote Sensing' continues to explore a wide array of themes, certain areas of focus appear to be declining in prominence over recent years. This decline may reflect shifts in research priorities or the maturation of specific methodologies.
  1. Traditional Land Use Classification:
    There is a noticeable decline in papers focused on conventional land use classification methods, suggesting a shift towards more sophisticated machine learning approaches that offer better accuracy and efficiency.
  2. Basic Remote Sensing Algorithms:
    Research centered on foundational remote sensing algorithms appears to be waning, possibly due to the increasing complexity and specificity of emerging methods that utilize advanced technologies and computational techniques.
  3. Historical Remote Sensing Applications:
    Studies emphasizing historical remote sensing applications, such as long-term data comparisons without innovative analytical techniques, are becoming less frequent, indicating a move towards more contemporary and relevant applications.

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