Journal of the Indian Society of Remote Sensing

Scope & Guideline

Connecting Scholars to the Frontiers of Remote Sensing

Introduction

Welcome to the Journal of the Indian Society of Remote Sensing information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Journal of the Indian Society of Remote Sensing, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0255-660x
PublisherSPRINGER
Support Open AccessNo
CountryIndia
TypeJournal
Convergefrom 1973 to 2024
AbbreviationJ INDIAN SOC REMOTE / J. Indian Soc. Remote Sens.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The Journal of the Indian Society of Remote Sensing focuses on the integration of remote sensing technologies in various disciplines such as environmental science, agriculture, urban planning, and disaster management. The journal aims to publish high-quality research that advances the application of remote sensing in understanding and solving complex environmental and societal challenges.
  1. Remote Sensing Applications:
    The journal emphasizes the application of remote sensing technologies in various fields, including agriculture, forestry, urban planning, and environmental monitoring. It seeks to disseminate research that demonstrates innovative uses of remote sensing data.
  2. Data Integration and Analysis Techniques:
    There is a strong focus on methodologies that integrate remote sensing data with other data sources (e.g., GIS, in-situ measurements) and employ advanced data analysis techniques, including machine learning and statistical modeling.
  3. Environmental Monitoring and Assessment:
    Research aimed at monitoring environmental changes, assessing natural resources, and evaluating the impacts of climate change and human activities is a core theme. This includes studies on land use changes, water quality, and disaster risk assessments.
  4. Technological Innovations in Remote Sensing:
    The journal encourages papers that present advancements in remote sensing technologies, including the development of new sensors, imaging techniques, and analytical methods that enhance data quality and application.
  5. Interdisciplinary Research:
    The journal promotes interdisciplinary studies that combine remote sensing with other scientific disciplines to address complex challenges, fostering collaboration among researchers from various fields.
The Journal of the Indian Society of Remote Sensing is witnessing a surge in specific research themes that reflect current global challenges and technological advancements. These emerging scopes are indicative of the evolving landscape of remote sensing research and its applications.
  1. Machine Learning and AI in Remote Sensing:
    There is a notable increase in research employing machine learning and artificial intelligence techniques for processing and analyzing remote sensing data, indicating a trend towards more sophisticated analytical methods.
  2. Climate Change Impact Assessments:
    Research focusing on the impacts of climate change using remote sensing data is on the rise, reflecting the urgent need to understand and mitigate the effects of climate change on various ecosystems and human activities.
  3. Urbanization and Land Use Change Studies:
    With rapid urbanization, studies exploring the dynamics of land use change and their environmental impacts are trending, utilizing remote sensing to assess urban growth patterns and their implications.
  4. Disaster Management and Risk Assessment:
    The journal is increasingly publishing studies on disaster management, including flood and landslide risk assessments, showcasing the importance of remote sensing in mitigating disaster impacts and improving preparedness.
  5. Integration of Remote Sensing with IoT and Big Data:
    Emerging research is focusing on the integration of remote sensing technologies with Internet of Things (IoT) and big data analytics, enhancing real-time monitoring and decision-making capabilities in various applications.

Declining or Waning

While the Journal of the Indian Society of Remote Sensing has seen significant growth in certain areas, there are also themes that appear to be declining in prominence. These waning scopes may reflect changes in research focus or advancements in technology that render certain topics less relevant.
  1. Traditional Remote Sensing Techniques:
    There seems to be a decline in publications focusing exclusively on traditional remote sensing techniques without integration of modern computational methods. The shift towards machine learning and AI applications has overshadowed simpler analytical methods.
  2. Basic Remote Sensing Education and Training:
    Research dedicated to foundational education and training in remote sensing appears to be less common, as the field increasingly emphasizes advanced applications and technical innovations, which may lead to a gap in basic educational resources.
  3. Single-Sensor Studies:
    Research focusing solely on single-sensor data analyses is waning, with a growing preference for studies that employ multi-sensor approaches to enhance accuracy and comprehensiveness in data interpretation.
  4. Local Case Studies Without Broader Implications:
    There is a noticeable reduction in case studies that do not extend beyond local or regional implications. The journal is increasingly favoring research that highlights broader applicability and relevance to global challenges.
  5. Descriptive Studies Without Novel Insights:
    The journal appears to be moving away from purely descriptive studies that do not provide new insights or methodologies, favoring innovative research that offers significant contributions to the field.

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