Special Issue "Remote Sensing of Tropical Phenology"
Deadline for manuscript submissions: closed (29 November 2019).
Interests: unmanned aerial vehicles (UAVs); forest ecology; airborne sensors; GatorEye
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Drones for Ecology and Conservation
Special Issue in Forests: Remote Sensing of Forest Disturbance and Recovery
Interests: Tropical forest, climate change, biodiversity, phenology, species distributions
Tropical ecosystems are globally significant reservoirs of carbon, support a large percentage of the known fauna and flora species on Earth, and provide an array of local and global ecosystems services supporting human well-being. Phenology—the timing of biological events such as reproductive or leafing patterns—is both a driver and response to climate change and provides key insight into the ecological functioning of one of the largest biomes on Earth.
Remote sensing approaches, which provide the only continuous repeat observations across landscapes to assess tropical ecosystems, are often confounded by atmospheric conditions having high water content or cloudiness, while a high leaf area causes many sensors, particularly optical, to saturate, preventing accurate measurements of phenological change and resulting ecosystem functions. Additionally, very high species richness, dense canopies, and structural complexity can complicate our ability to understand the spatial-temporal dynamics of tropical systems. New approaches have the potential to overcome these challenges. In particular, newly launched satellites will bring on-board spaceborne LiDAR (GEDI) and SAR (NISAR), potentially allowing effective mapping through cloud cover. New constellations of micro-satellites (Planet) are now allowing observations across landscapes at very high spatial resolutions (e.g., 3x3m) at up to daily repeat cycles. Drone-borne and in-situ sensors can measure daily repeat, high-resolution visual, hyperspectral, and LiDAR, bridging ground-based and satellite observations.
In this Special Issue, we are inviting submissions that advance our understanding of tropical phenology across diverse habitats using data-fusion from diverse sources such as LiDAR, SAR, hyperspectral, and optical remote sensing with in-situ observations from drones, eddy-covariance, near-surface cameras, and ground-based phenological observations such as citizen science or long-term ecological monitoring. Potential topics include those listed below, although we are not limited to these topics if the submission is in line with the general theme as described above:
- Understanding how plant spectral diversity and functional traits scale from species to landscapes.
- Understanding the timing of key phenological events across environmental gradients and how they affect ecosystem processes such as productivity.
- Quantifying rates of change, sensitivities, and vulnerabilities of species, populations, and communities to climate change.
- New statistical, process-based, object-oriented, and/or machine-learning approaches for spatial-temporal data-fusion.
Dr. Eben N. Broadbent
Dr. Stephanie Pau
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.
- Biodiversity mapping
- Ecosystem functions
- Spectral diversity
- Climate change
- Multi-sensor data fusion
- Time-series analysis
- Tropical forest