GIScience & Remote Sensing

Scope & Guideline

Elevating Research in Remote Sensing and GIScience

Introduction

Delve into the academic richness of GIScience & Remote Sensing with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1548-1603
PublisherTAYLOR & FRANCIS LTD
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 2004 to 2024
AbbreviationGISCI REMOTE SENS / GISci. Remote Sens.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

GIScience & Remote Sensing focuses on advancing knowledge in geospatial science and technology, particularly through innovative applications of remote sensing. The journal aims to facilitate the integration of data, methodologies, and analytical approaches that enhance our understanding of the Earth's surface and its processes.
  1. Remote Sensing Applications:
    The journal emphasizes the use of remote sensing technologies to monitor and analyze environmental phenomena, land use changes, and ecological dynamics across various landscapes.
  2. Geospatial Analysis:
    A core focus is on the development and application of geospatial analytical techniques, including machine learning and big data analytics, to derive insights from complex datasets.
  3. Environmental Monitoring and Management:
    Research often centers on monitoring environmental changes, such as climate impacts, land degradation, and resource management, using satellite and aerial imagery.
  4. Interdisciplinary Approaches:
    The journal promotes interdisciplinary research that combines insights from ecology, geography, urban planning, and environmental science to address pressing global challenges.
  5. Innovative Methodologies:
    A significant contribution of the journal includes the development of new methodologies for data acquisition, processing, and analysis, particularly leveraging advancements in artificial intelligence and machine learning.
Recent publications in GIScience & Remote Sensing have highlighted several emerging trends and themes that reflect the evolving landscape of geospatial research. These themes not only showcase the journal's adaptability but also its commitment to addressing contemporary challenges through innovative approaches.
  1. Deep Learning and AI Applications:
    There is a significant uptick in the application of deep learning and artificial intelligence techniques for remote sensing data analysis, enhancing accuracy in tasks such as land cover classification, environmental monitoring, and change detection.
  2. High-Resolution Remote Sensing:
    The trend towards utilizing high-resolution satellite and aerial imagery is on the rise, allowing for more detailed and precise analyses of land use and environmental changes.
  3. Temporal Dynamics and Time-Series Analysis:
    Research increasingly focuses on temporal dynamics, with studies utilizing time-series data to analyze trends and changes in ecosystems, urban growth, and climate impacts over time.
  4. Integration of Multi-Source Data:
    There is a growing trend towards integrating multi-source data (e.g., combining satellite, UAV, and ground-based data) to provide more comprehensive analyses and insights.
  5. Urban Studies and Smart City Applications:
    Emerging themes also include urban studies, particularly regarding smart city applications, urban heat islands, and spatial planning, reflecting the need for sustainable urban development solutions.

Declining or Waning

While GIScience & Remote Sensing continues to thrive in many research areas, certain themes have shown signs of declining prominence in recent publications. These waning scopes may reflect shifts in researcher interest or advancements in technology that render older methodologies less relevant.
  1. Traditional Remote Sensing Techniques:
    There appears to be a decline in the emphasis on traditional remote sensing methods, such as basic spectral analysis and simple image classification, as more advanced techniques like deep learning gain traction.
  2. Static Land Use Mapping:
    Research focusing solely on static land use mapping without considering dynamic changes or temporal aspects is becoming less frequent, with a shift towards more dynamic, time-series analyses.
  3. Basic Data Collection Methods:
    Papers relying on basic data collection methods without integration of advanced technologies (like UAVs or high-resolution satellite data) are less common, indicating a move towards more sophisticated methodologies.
  4. Generalized Climate Change Studies:
    While climate change remains a critical area of study, generalized studies without specific, actionable insights or innovative methodologies are being phased out in favor of more targeted and technologically advanced research.
  5. Local Case Studies Without Broader Implications:
    There is a noticeable reduction in the number of local case studies that do not tie into broader global or regional implications, as researchers increasingly seek to address issues with wider relevance.

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