Remote Sensing of Vegetation Structure and Dynamics
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (29 May 2016) | Viewed by 317988
Special Issue Editors
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
Special Issues, Collections and Topics in MDPI journals
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
Special Issue Information
Dear Colleagues,
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
Guest Editors
Manuscript Submission Information
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