Special Issue "Remote Sensing of Vegetation Structure and Dynamics"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (29 May 2016)
Dr. Sangram Ganguly
NASA Ames Research Center and Bay Area Environmental Research Institute, Bldg. 566, Room 114, NASA Ames Research Center, Moffett Field, CA 94035, USA
Website | E-Mail
Phone: +1 (617) 319 6249
Interests: radiative transfer theory; machine learning and data science; advanced remote sensing techniques for carbon modeling and vegetation structure; climate modeling; high performance computing and cloud computing; large-scale image processing and signal processing
Dr. Compton Tucker
NASA Goddard Space Flight Center, Mail Code: 610.9, Greenbelt, MD 20771, USA
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Phone: +1 (301) 614 6644
Interests: earth systems research; advanced remote sensing techniques for vegetation monitoring and dynamics; climate modeling; long-term data records for vegetation dynamics; famine early warning systems; crop yield monitoring and forecasting
Monitoring of vegetation structure and functioning is critical to modeling terrestrial material and energy cycles, ecosystem productivity, and land use/land cover dynamics within the general context of climate change. Satellite remote sensing is ideally suited for vegetation monitoring as it provides multi-decadal observations at a range of spatio-temporal scales. The advances in remote sensing, both in theory and instrumentation, have paved the way for better understanding the partitioning of radiative energy between the Earth’s surface and atmosphere. Moreover, there is a pressing need in devising methodologies and techniques for creating consistent long-term data records for vegetation monitoring from multiple satellite sensors. A large body of work exists on methodologies and algorithms for continental-to-global vegetation monitoring through the use of derived metrics and indices that characterize and/ or provide cues to vegetation photosynthetic activity. Legacy optical passive sensors like the MODIS Aqua/Terra, AVHRR and the Landsat have been providing vital information on mapping extents of vegetation activity and dynamics at a global scale, and the use of such information will always be critical in bridging the gap between vegetation-climate feedbacks and in quantifying the net carbon flux for future climate warming scenarios. This Special Issue is focused on advancing the knowledge base in remote sensing techniques for vegetation structure and dynamics and its application to a wide variety of pressing topics like carbon sequestration, forest degradation and afforestation, vegetation-climate feedbacks, crop production, etc.
We would like to invite you to submit articles about your recent research with respect to the following topics.
- Optical Remote Sensing of vegetation structure (e.g., LAI/ FPAR, Canopy Height): Methods and evaluations and future missions (e.g., Sentinel-2)
- Remote Sensing of vegetation dynamics: Methods and evaluations.
- Lidar Remote Sensing of vegetation structure: Methods and evaluations and future missions (e.g., ICESat-2).
- Radar Remote Sensing of vegetation structure: Methods and evaluations.
- Very High Resolution Remote Sensing of vegetation structure (e.g., Worldview, NAIP, High Resolution Airborne Lidar, etc.): Methods and evaluations.
- Application of new sensors/algorithms to biomass/carbon dynamics estimation.
- Remote Sensing of crop yield and crop growth monitoring.
- Revisiting known trends in vegetation growth (e.g., northern hemisphere trends in vegetation, seasonality in Amazonian rainforests, etc.): Continental-to-global scales.
- Comparison and evaluation of different remote sensing methods.
- Improvement and evaluation of input data needed for the retrieval of vegetation structural parameters (e.g. canopy height and biomass).
- Remote Sensing of forest disturbance, degradation and regrowth.
- Multi-sensor data fusion for long-term vegetation monitoring (e.g., AVHRR-to-MODIS-to-Landsat, Landsat-to-Sentinel-2, etc.).
- Review articles covering one or more of these topics are also welcome.
Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.
Dr. Sangram Ganguly
Dr. Compton Tucker
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.