European Journal of Remote Sensing
Scope & Guideline
Exploring New Horizons in Applied Mathematics and Remote Sensing
Introduction
Aims and Scopes
- Remote Sensing Methodologies:
The journal emphasizes innovative methodologies in remote sensing, including satellite, aerial, and UAV-based technologies, integrating various data sources for comprehensive environmental monitoring. - Environmental Monitoring and Management:
Research published often tackles environmental issues such as climate change, deforestation, land use changes, and urbanization, showcasing the importance of remote sensing in sustainable development and resource management. - Machine Learning and Artificial Intelligence Applications:
A significant focus on applying machine learning and AI techniques for data analysis and interpretation in remote sensing, enhancing the accuracy and efficiency of environmental assessments. - Interdisciplinary Approaches:
The journal promotes interdisciplinary research, integrating remote sensing with GIS, hydrology, agriculture, and ecology to address complex environmental challenges. - Case Studies and Regional Analyses:
Publication of detailed case studies that utilize remote sensing data to analyze specific regional environmental issues, providing insights into local contexts and implications.
Trending and Emerging
- Deep Learning and Neural Networks:
An increasing number of papers are employing deep learning techniques and neural networks for various applications in remote sensing, indicating a trend towards sophisticated data analysis and interpretation. - Climate Change and Environmental Impact Assessments:
There is a growing emphasis on using remote sensing to assess climate change impacts, including monitoring land cover changes, vegetation health, and water resources management. - Precision Agriculture and Smart Farming:
Research related to precision agriculture, utilizing remote sensing data for crop monitoring, yield prediction, and resource optimization, is gaining significant attention. - Urban Remote Sensing and Smart Cities:
Emerging studies focus on urban environments, analyzing urban expansion, land-use changes, and the integration of remote sensing in smart city initiatives. - Integration of Multi-Source Data:
A notable trend is the integration of data from multiple sources, including satellite, aerial, and ground-based measurements, to enhance the accuracy and reliability of environmental assessments.
Declining or Waning
- Traditional Remote Sensing Techniques:
There is a noticeable decline in publications focusing solely on traditional remote sensing techniques, such as basic satellite imaging without advanced processing or analysis methods. - Static Environmental Assessments:
Research that presents static assessments without dynamic monitoring or time-series analysis is becoming less prominent, as the field increasingly values temporal data for trend analysis. - Basic GIS Applications:
The use of basic GIS applications without the integration of remote sensing data or advanced analytical techniques is waning, reflecting a shift towards more complex and integrated methodologies. - Single-Sensor Studies:
Studies focusing exclusively on a single type of sensor or dataset are declining, as the field moves towards multi-sensor approaches that provide more comprehensive insights. - Manual Data Processing Techniques:
There is a decreasing trend in publications utilizing manual data processing techniques, with a shift towards automated and machine learning-driven methodologies.
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