Geocarto International

Scope & Guideline

Advancing Knowledge at the Intersection of Geography and Planning

Introduction

Welcome to your portal for understanding Geocarto International, 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
ISSN1010-6049
PublisherTAYLOR & FRANCIS LTD
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 1986 to 2024
AbbreviationGEOCARTO INT / Geocarto Int.
Frequency20 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

Geocarto International focuses on the advancement and application of remote sensing and GIS technologies in various environmental and ecological contexts. The journal publishes research that integrates geospatial data with innovative methodologies to address pressing global challenges in land use, climate change, and natural resource management.
  1. Remote Sensing and GIS Applications:
    The journal emphasizes the use of remote sensing and GIS technologies to analyze and monitor environmental changes, land use dynamics, and resource management.
  2. Machine Learning and AI in Geospatial Analysis:
    A significant focus on integrating machine learning and artificial intelligence techniques to enhance the accuracy and efficiency of geospatial analyses.
  3. Environmental Monitoring and Assessment:
    Research that assesses environmental conditions, such as pollution, land degradation, and climate impacts, using remote sensing data is a core area of interest.
  4. Sustainable Development and Resource Management:
    The journal promotes studies that contribute to sustainable development goals, particularly those addressing resource management and ecological health.
  5. Innovative Methodologies:
    Geocarto International is known for publishing innovative methodologies that combine various data sources, including hyperspectral, LiDAR, and multi-spectral imagery for diverse applications.
Geocarto International has been at the forefront of several emerging research themes that reflect the latest advancements in technology and environmental science. These trends indicate a vibrant and responsive research community.
  1. Integration of Remote Sensing and AI:
    There is a significant increase in studies that combine remote sensing with artificial intelligence, particularly deep learning, to improve data analysis and interpretation.
  2. Climate Change Adaptation and Mitigation:
    Research addressing climate change impacts and strategies for adaptation and mitigation is on the rise, reflecting global priorities in sustainability.
  3. Urbanization and Land Use Change:
    Emerging themes focus on urban expansion, land use change dynamics, and their implications for environmental sustainability and resource management.
  4. Water Resource Management:
    An increasing number of studies are dedicated to water resource management, utilizing remote sensing for monitoring and assessing water quality and availability.
  5. Biodiversity and Ecosystem Services:
    Research exploring the links between remote sensing data, biodiversity assessment, and ecosystem services is trending, highlighting the importance of ecological health.

Declining or Waning

While Geocarto International continues to thrive in several research domains, some areas are beginning to show a decline in publication frequency or emphasis. These waning themes could reflect shifts in research focus or emerging priorities in the field.
  1. Traditional Statistical Methods:
    There is a noticeable decline in the use of traditional statistical methods for geospatial analysis, as more researchers opt for advanced machine learning techniques.
  2. Basic Remote Sensing Techniques:
    As the field evolves, there is less emphasis on basic remote sensing techniques in favor of more complex methodologies that integrate multiple data sources.
  3. Generic Land Use Classification:
    Research focusing on generic land use classification without the integration of advanced techniques or local context is becoming less frequent, as studies become more specialized.
  4. Single-Sensor Studies:
    Research relying solely on data from a single type of sensor is less common, with a growing preference for multi-sensor approaches that provide more comprehensive insights.

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