Special Issue "Modelling and Monitoring Vegetation Decline and Productivity with Remote Sensing"
Deadline for manuscript submissions: 31 December 2020.
Interests: hyperspectral data; chlorophyll fluorescence; thermal imaging; radiative transfer modelling; biophysical parameter estimation; vegetation health; vegetation condition surveillance; plant traits modelling; early detection; vegetation productivity
Global vegetation functioning is being affected by the increase of abiotic and biotic stresses associated with climate change. The unpredicted impact on vegetation is leading to a widespread increase of plant mortality and an underestimation of global vulnerability. Under this scenario, improved and earlier detection is critical to quantify vegetation productivity, detect declining conditions, identify, and limit pest and disease outbreaks. The capability to predict vegetation ill-health with remote sensing will give us the chance to monitor the damage before signs are visible to managers through conventional surveillance.
This Special Issue aims to compile the most recent research on quantifying, modelling and monitoring vegetation condition using the existing spatial, spectral and temporal resolution provided by satellite, airborne and UAV image data. We would like to invite you to submit articles about your recent research on remote sensing with respect to the following topics:
- Methods for monitoring vegetation growth;
- Monitoring vegetation productivity and health;
- Physically based modelling for quantifying vegetation traits;
- Early detection of vegetation decline;
- Vegetation temporal and spatial trends;
- Vegetation indicators and thresholds;
- Predictive modelling, matching learning and artificial neural networks of vegetation traits.
Dr. Rocio Hernández-Clemente
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.
- Vegetation health
- Vegetation condition surveillance
- Plant traits modeling
- Early detection
- Vegetation productivity