Advances in Earth Observation Sensors: Platforms, Processing and Environmental Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 30 May 2027 | Viewed by 182
Special Issue Editors
Interests: remote sensing; SAR/PolSAR; speckle; statistical modelling; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of Earth Observation (EO) technologies has ushered in a new era of environmental monitoring, characterized by unprecedented spatial, spectral, and temporal resolutions. As global challenges such as climate change, rapid urbanization, and ecosystem degradation intensify, the role of advanced sensing platforms, ranging from land sensors, robotics, and constellations of nanosatellites to sophisticated Unmanned Aerial Vehicles (UAVs), becomes critical. These platforms, equipped with multi-source sensors including SAR, hyperspectral, and thermal imaging, provide the essential data needed to understand complex Earth system processes. However, the amount and complexity of this data necessitate innovative processing techniques, including automated calibration, multi-sensor fusion, and the integration of artificial intelligence, to transform raw signals into actionable geographic information.
This Special Issue aims to present and disseminate the most recent advances related to the integration of Earth Observation sensors and their deployment across diverse platforms. We consider contributions addressing the entire lifecycle of EO data, from sensor design and platform stability to the development of robust processing pipelines and their validation in real-world environmental scenarios. The goal is to provide a comprehensive overview of how state-of-the-art sensing theory and technologies can bridge the gap between theoretical sensors models and practical environmental solutions, particularly in monitoring land cover dynamics, atmospheric changes, and oceanographic processes.
Topics of interest for publication include, but are not limited to, the following:
- Innovative Sensing Platforms for Earth Observation: Advances in unmanned systems (UAV/UGV/USV), SmallSats/CubeSats, and high-altitude platforms (HAPS) for environmental monitoring.
- Multi-Sensor Data Fusion: Synergistic use of radar, optical, multispectral, and LiDAR data for enhanced environmental characterization.
- Advanced Signal and Image Processing: New algorithms for atmospheric correction, noise reduction, and geometric calibration.
- Big Data and Cloud Computing in EO: Implementation of algorithms and cloud-based architectures for large-scale environmental analysis.
- Artificial Intelligence and Machine Learning for Earth Observation: Deep learning and generative AI methods for feature extraction, change detection, classification, and multi-sensor environmental analysis.
- Environmental Dynamics Monitoring: Application of sensors in tracking deforestation, agricultural productivity, water resources, and urban expansion.
- InSAR and Geohazards: Use of interferometric techniques for monitoring land subsidence, volcanic activity, and tectonic shifts.
UAV-based Remote Sensing for Earth Observation: High-resolution sensing for environmental monitoring, precision agriculture, ecosystem assessment, and localized Earth system analysis.
Prof. Dr. Luis Gómez Déniz
Guest Editor
Prof. Dr. Rubén Darío Vásquez-Salazar
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- remote sensing
- earth observation
- synthetic aperture radar (SAR)
- data fusion
- image processing
- artificial intelligence: machine learning, deep learning, generative AI
- environmental monitoring
- satellite platforms
- spatial analysis
- computer vision
- unmanned vehicles
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