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Special Issue "High Spatial Resolution Remote Sensing: Data, Analysis, and Applications"
Deadline for manuscript submissions: 1 May 2021.
Tel. (303) 236-1411
Interests: high-resolution and moderate-resolution remote sensing, wetlands, fire, image processing and analysis, object-based remote sensing, multi-source remote sensing
Special Issues and Collections in MDPI journals
The rapidly increasing availability of multispectral, high spatial resolution (≤5 m) imagery, collected by satellites, cubesats, and airborne sensors, presents an opportunity to detect landscape change with increased spatial detail. This additional detail can enhance our ability to monitor small or narrow landscape features (e.g., coastlines, riparian corridors, forest fragments, wetlands), as well as detect greater heterogeneity in landscape change. Current efforts to process multiple high spatial resolution images are frequently challenged by temporally inconsistent quality control resulting in variable band reflectance values and spatial positioning, particularly compared to more established sensors such as Landsat, AVHRR or MODIS. The smaller pixel size has also been shown to create greater spectral heterogeneity within a given cover class, which has increased the popularity of object-based image processing approaches. To date, such approaches are frequently labor-intensive and in need of simplification and automation to allow for greater repeatability. These challenges all point to the need for improved image processing approaches specific to multispectral, high spatial resolution imagery.
This Special Issue welcomes original and innovative papers that explore how image processing of multispectral, high spatial resolution imagery can be improved to enhance and potentially operationalize high spatial resolution change detection and time series analysis. Application of imagery to diverse ecosystem types are welcome. Welcome topics include but are not limited to the following:
- Operational use of high spatial resolution datasets for disturbance (e.g., fire, insect, climate, anthropogenic activities) detection in forests, grasslands, surface water, snow, or ice;
- Time series analysis using high spatial resolution imagery;
- Change detection using high spatial resolution imagery;
- Method development related to operationalizing object-based image analysis;
- Machine learning image processing approaches;
- Method development or applications using novel sensors and platforms;
- Integration of high spatial resolution multispectral imagery with other remote measurements (e.g., SAR, lidar, UAVs, Sentinel);
- Integration of high-spatial resolution multispectral imagery with ground-based datasets.
Dr. Melanie Vanderhoof
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 papers will be 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 1800 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.
- Remote sensing of environment
- Time series analysis
- Change detection
- Spatial analysis
- Object-based image analysis
- Machine learning
- Image processing