Special Issue "Hyperspectral Remote Sensing for Biodiversity Mapping"
Deadline for manuscript submissions: closed (31 July 2020).
Interests: UAV, airborne, hyperspectral, biodiversity, carbon, tropical, peatlands
Interests: hyperspectral; satellite imagery; land cover change; signal processing; biodiversity; thermal imaging; UAV
Special Issues and Collections in MDPI journals
Dear Colleagues,Significant advances have been made in the applications of hyperspectral remote sensing over the last 30-years. With the maturation of field spectroscopy techniques (e.g. leaf level data), the continuous improvement of airborne hyperspectral sensors with VISNIR, as well as full range capabilities (including SWIR and LWIR), and the more recent development of UAV based hyperspectral systems, these data represent more than ever, a significant opportunity for biodiversity mapping. Current threats to biodiversity such as climate change, deforestation, and invasive species among others have only intensified, and the need to continuously study biodiversity responses to these threats, is paramount to document and assess the changes across different ecosystems (e.g. forests, corals, fresh water biota, peatlands, etc.). Furthermore, the need for sound baseline methods for mapping biodiversity with hyperspectral data (e.g. proper data acquisition techniques and analysis) at different spectral, spatial and temporal scales is a major requirement.
This Special Issue will include studies focused on the use of hyperspectral data at different spatial scales (e.g. leaf level, canopy, stand, landscape, regional) for biodiversity mapping, with special attention to the use of scientifically sound data collection techniques (e.g. well calibrated data) and given the wealth that hyperspectral data provides, novel approaches for data analysis. We invite authors to submit recent research that encompass the following topics using hyperspectral data:
- Biodiversity mapping
- Species spectral differences
- Species composition
- Novel applications to terrestrial and aquatic systems
- Multi-scale analyses, including but not limited to field sampling, UAV, airborne and satellite
- Scaling approaches between platforms
- Calibration/validation and good practices for hyperspectral data collection and analysis for biodiversity assessment
- Data fusion between hyperspectral and other sources (e.g. LiDAR)
Dr. J. Pablo Arroyo-Mora
Dr. Margaret Kalacska
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 2200 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.
- Species enumeration