Special Issue "Ecophysiological Remote Sensing"
Deadline for manuscript submissions: closed (30 September 2017).
Interests: ecological remote sensing, water and carbon cycle interactions, vegetation phenology, boreal and Arctic ecosystems, remote sensing retrieval algorithms and modeling
Interests: ecohydrology; crop modeling and forecasting; agriculture adaptation to climate change; vegetation dynamic modeling; terrestrial remote sensing (optical/microwave)
Recent developments in satellite remote sensing include new sensors and/or complimentary observations from different sensors that are providing new insight and capabilities for understanding vegetation and ecosystem properties, dynamics and functional processes. Next generation missions and sensors are now underway or scheduled for near-term operations that may provide new capabilities for better understanding and monitoring of vegetation ecophysiology, including photosynthesis and respiration, canopy phenology, structure, water use, and environmental stress behaviour. Global observations from continuing or similar overlapping satellite missions now span multiple decades and also multiple spectral ranges (visible, near-infrared, thermal, microwave, etc.), enabling more precise documentation and new understanding of vegetation changes and their environmental controls.
In this Special issue on “Ecophysiological Remote Sensing”, we invite papers involving one or more of the following topical areas, emphasizing satellite remote sensing of properties and processes pertaining to terrestrial ecosystems and vegetation; investigations using multi-scale satellite, airborne and ground based observations are also encouraged:
- New technological developments, including next generation sensors and missions.
- Fusion of multi-sensor observations, including satellite, and airborne and terrestrial sources.
- Development and analysis of long time series satellite environmental data records for analysing climate related trends, and anomalies.
- New application studies, including vegetation phenology and stress, drought detection and monitoring, agriculture, rangeland, and forestry.
Dr. John S. Kimball
Dr. Kaiyu Guan
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.
- Water stress
- Canopy structure
- Plant traits
- Crop yield