Special Issue "Remote Sensing of Vegetation Phenology"
Deadline for manuscript submissions: closed (30 April 2020).
Interests: modeling and remote sensing of continental vegetation; phenology; photosynthesis; fluorescence; COS; surface directional effects
Interests: the carbon cycle; vegetation dynamics (phenology and long-term trends); impacts of climate change; CO2 fertilization and land cover change in terrestrial ecosystem functioning; terrestrial biosphere modeling; data assimilation; remote sensing
Interests: vegetation phenology; forest demography; carbon sequestration; drought and disturbance resilience; dendrochronology; model data fusion; computer vision and remote sensing
Special Issues and Collections in MDPI journals
Interests: proximal; airborne and satellite remote sensing; plant ecophysiology; phenology; ecosystem carbon and water fluxes
We are delighted to announce this Special Issue on the phenology of terrestrial vegetation.
Phenology is the variation of recurrent key stages in the plant life cycle, linked to environmental changes. By extension, it also includes the mean seasonal cycle of relevant biophysical and biochemical quantities and their temporal and spatial changes. Remote sensing is a major player in this science, and we welcome all contributions related, but not limited, to the following topics:
- Methodology manuscripts concerning signal processing (noise removal and filtering techniques), and derivation of phenological metrics, on established, long satellite time-series, more recent satellite observations and products (e.g. SIF, VOD), and high-resolution satellites (e.g. Sentinel), to support studies of seasonal cycles, interannual variability, and trends, by coupling patterns to processes.
- Studies which link derived metrics to in situ phenological observations and indirect measurements, including digital photography networks, that could address scaling issues.
- Analyses on the phenological responses of vegetation to multiple environmental drivers in the context of climate change (temperature, water availability, radiation, etc.), and their impact on carbon and water cycles. We encourage the evaluation, optimization, and development of phenology (leaf onset, senescence) and land surface models using satellite data.
- In the above topics, we invite both submissions of reviews and biome-specific, sectorial (forest, agriculture, grasslands), or regional studies, e.g., climate-sensitive regions, such as spatially heterogeneous semi-arid or arid ecosystems, tropical forests with a challenging and debated seasonal cycle, high latitudes experiencing rapid warming.
- We also accept phenological studies on urban environments and related to natural or human-induced disturbances.
Dr. Fabienne Maignan
Dr. Natasha MacBean
Dr. Koen Hufkens
Prof. Kamel Soudani
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 2400 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
- Climate change