Advances in Multi-Dimensional Monitoring of the Environment with Optical Satellite Images
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 1670
Special Issue Editors
Interests: 3D modelling with RS; land cover land use monitoring; forest degradation; agricultural monitoring; object detection with DL
Interests: deep learning; remote sensing image processing; point cloud processing; change detection; object recognition; object modelling; remote sensing data registration; remote sensing of environment
Special Issues, Collections and Topics in MDPI journals
Interests: land use; land cover studies; pattern recognition; snow cover mapping; biomass estimation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in satellite technology have made it possible to use optical images to monitor the environment in multiple dimensions. Among other tasks, these images can be used to track changes in land use, monitor vegetation growth, and health, spot changes in water quality, estimate the size of natural disasters, and map the current status of the environment and ecosystem. In addition, multi-dimensional remote sensing can also provide information on the physical and chemical properties of the environment, which can be used to improve resource management and environmental conservation efforts. Thus, remote sensing is increasingly becoming a powerful tool for monitoring and understanding the Earth's environment. The resolution and coverage of these images have also improved, allowing for more accurate and detailed data collection. Additionally, machine learning and deep learning techniques are commonly used to analyze images and extract geospatial information.
With the growing volume of optical images from various open-source and commercial satellite and sensor platforms and developed algorithms with computing efficiency, extracting geospatial information from remotely sensed data evolved into a big data management problem and the dimensionality of the data makes implementation of the approaches challenging.
This Special Issue aims to collect original research regarding the advancements in applications, algorithms, and approaches in monitoring and mapping the environment, with a wide aspect of dimensionality including multi-temporal, multi-sensor, and multi-source data fusion. Articles may address but are not limited to the following research topics:
- Multisensory–multitemporal data fusion for environmental monitoring applications.
- Integration of in-situ data with optical satellite images for multi-dimensional environmental monitoring applications.
- Machine learning and deep learning-based algorithms for multi-dimensional monitoring applications.
- 3D modelling for change detection, natural disaster management, and urbanization.
- Advances in digital surface/bathymetry model generation from satellite, airborne, or UAV-based systems.
Dr. Ugur Alganci
Dr. Mohammad Awrangjeb
Prof. Dr. Nilanchal Patel
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- change detection
- multi-dimensional data fusion
- environmental monitoring
- DL and ML-based approaches
- 3D spatial analysis
