Remote Sensing in Ecology and Conservation

Scope & Guideline

Shaping the future of conservation through groundbreaking research.

Introduction

Welcome to your portal for understanding Remote Sensing in Ecology and Conservation, 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-
PublisherWILEY
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationREMOTE SENS ECOL CON / Remote Sens. Ecol. Conserv.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN, NJ 07030

Aims and Scopes

The journal 'Remote Sensing in Ecology and Conservation' focuses on the integration of remote sensing technologies with ecological and conservation research. It aims to provide a platform for innovative studies that leverage remote sensing data for understanding and managing ecological systems and biodiversity.
  1. Remote Sensing Applications in Ecology:
    Utilization of various remote sensing technologies, including satellite imagery, UAVs, and LiDAR, to monitor and analyze ecological parameters such as vegetation structure, wildlife populations, and habitat changes.
  2. Biodiversity Monitoring and Conservation:
    Studies emphasizing the role of remote sensing in assessing biodiversity, tracking species distribution, and informing conservation strategies through high-resolution imagery and data integration.
  3. Environmental Change Assessment:
    Research focused on using remote sensing to detect and quantify environmental changes, such as land use change, climate impacts, and habitat degradation, to support ecological resilience and management.
  4. Innovative Methodologies:
    Development and application of advanced methodologies, including machine learning and deep learning techniques, for processing and analyzing remote sensing data to enhance ecological research.
  5. Community Science and Public Engagement:
    Exploring the role of community science and citizen engagement in data collection and analysis, particularly using remote sensing and camera traps, to promote conservation efforts.
The journal has identified several trending and emerging themes that highlight the evolving nature of ecological research facilitated by remote sensing technologies. These themes reflect the journal's responsiveness to current challenges and innovations in the field.
  1. Integration of Deep Learning in Remote Sensing:
    The increasing application of deep learning techniques for processing remote sensing data is a prominent trend, enhancing the accuracy and efficiency of ecological monitoring and biodiversity assessments.
  2. High-Resolution and Multi-Platform Data Utilization:
    Emerging research focuses on the use of high-resolution imagery from various platforms, including satellites and UAVs, to achieve more detailed ecological insights and improve conservation strategies.
  3. Climate Change and Ecological Resilience Studies:
    There is a growing emphasis on understanding the impacts of climate change on ecosystems through remote sensing, with studies investigating resilience and adaptation strategies across diverse habitats.
  4. Community Science and Citizen Engagement:
    The role of community science in data collection and ecological monitoring is gaining traction, with studies exploring how citizen involvement can enhance the effectiveness of conservation efforts using remote sensing.
  5. Spatial Ecology and Landscape Connectivity:
    Research exploring spatial patterns of biodiversity and habitat connectivity is on the rise, utilizing remote sensing to understand ecological dynamics and inform landscape management.

Declining or Waning

While the journal has seen a vibrant array of topics, certain themes have shown a decline in focus over the recent years. These waning scopes indicate shifts in research priorities and methodological advancements within the field.
  1. Traditional Ground-Based Monitoring:
    There has been a noticeable decrease in studies relying solely on traditional ground-based ecological monitoring methods, as remote sensing technologies increasingly provide more efficient and expansive data collection alternatives.
  2. Basic Ecological Surveys without Remote Sensing Integration:
    Research focusing on basic ecological surveys that do not utilize remote sensing or technology integration is becoming less common, reflecting a trend towards more technologically advanced methodologies.
  3. Limited Use of Non-Spatial Data:
    Studies that rely primarily on non-spatial data for ecological assessments are declining, as the emphasis shifts towards spatially explicit analyses that leverage remote sensing capabilities.
  4. Generalized Species Distribution Models:
    There is a waning interest in simplistic species distribution models that do not incorporate remote sensing data, as researchers seek more complex and data-rich models that account for environmental variables.

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