Special Issue "Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters"
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Quantitative Methods and Remote Sensing".
Deadline for manuscript submissions: closed (15 April 2018)
Prof. Francisco Javier García-Haro
Prof. Dr. Hongliang Fang
LREIS, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences, 11A Datun Road, Beijing 100101, China
Website | E-Mail
Interests: optical remote sensing; biophysical parameter estimation; vegetation; radiative transfer modeling; calibration/validation; in situ measurements
Monitoring of vegetation structure and functioning is critical to modeling terrestrial ecosystems and energy cycles. In particular, leaf area index (LAI) is an important structural property of vegetation used in many land-surface vegetation, climate, and crop production models. Canopy structure (LAI, fCover, plant height and biomass) and biochemical parameters (leaf pigmentation and water content) directly influence the radiative transfer process of sunlight in vegetation, determining the amount of radiation measured by passive sensors in the visible and infrared portions of the electromagnetic spectrum.
Optical remote sensing (RS) methods build relationships exploiting in situ measurements and/or as outputs of physical canopy radiative transfer models. The increased availability of passive (radar and LiDAR) RS data has fostered their use in many applications for analysis of land surface properties and processes, thanks also to their insensitivity to weather conditions and the capability to exploit rich structural and texture information. Data fusion and multi-sensor integration techniques are pressing topics to fully exploit the information conveyed by both optical and microwave bands.
This Special Issue will review the state of the art in the retrieval of LAI and other vegetation parameters and its usage in a wide variety of applications (e.g., ecology, carbon cycle, agriculture, forestry and food security). Articles covering recent research about the following topics are invited for this Special Issue:
• Field methods to measure LAI and other vegetation parameters
• Methods to estimate vegetation status, dynamic (FAPAR, GPP, stage/phenology) and condition (e.g., pigmentation, leaf water content, water stress)
• Improvement of radiative transfer models, and input data needed for the retrieval of vegetation parameters.
• LiDAR and microwave Remote Sensing
• Processing of big remote sensing data, e.g., data fusion and multi-sensor data integration techniques
• Calibration/validation activities for LAI maps and other biophysical products
• Environmental applications, e.g. detection and mapping of vegetation diseases and stress condition
• Forest applications, e.g., mapping and monitoring of forest disturbance, degradation and regrowth.
• Agriculture applications, e.g., crop growth cycle and crop condition, yield predictions, precision agriculture.
• Assimilation of remote sensing data with vegetation models for forest and agriculture applications
Review articles covering one or more of these topics
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. Forests is an international peer-reviewed open access monthly 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 1400 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.
- Leaf area index
- retrieval of vegetation biophysical parameters
- Optical and microwave remote sensing
- calibration/validation field campaigns
- radiative transfer models
- vegetation monitoring applications