Special Issue "Remote Sensing in Agricultural System"
A special issue of Agriculture (ISSN 2077-0472).
Deadline for manuscript submissions: closed (31 August 2018).
The last decade has witnessed tremendous technological developments in the field of remote sensing, in general, and its application to agriculture, in particular. Agricultural remote sensing can be broadly divided into three categories according to the type of platform used to collect the information: Satellites, airplanes or small unmanned aircraft vehicles. Each kind of platform has its own challenges: For satellites, the main issues are related to spatial and/or spectral resolution and re-visitation time, all of which are beyond the control of the end-user. Long delays between data acquisition and publication of corrected and validated final products by the data provider may also be an issue. Most of these issues can be avoided by using sensing platforms mounted on airplanes, but these are typically costly to operate and appear to be appropriate only under very specific conditions. Small, low flying, unmanned aircraft vehicles (UAVs) have recently attracted tremendous interest due to their flexibility, relative low-cost and perceived ease of operation. However, really low-cost systems have very limited payload and flight-time, while more "heavy-duty" systems are significantly more expensive and, in some areas, their use may be severely regulated. The goal of this Special Issue is to present an up-to-date overview of the recent achievements in the field of agricultural remote sensing, as well as to identify the obstacles still ahead, not only in terms of scientific and technological developments, but also in terms of the barriers that still prevent wider adoption of remote sensing as a key component of farm management.
Review and research papers are invited on, but not limited to, the following topics:
· Existing and planned satellite-based sensors dedicated to agriculture
· Technological developments in the field of multispectral, hyperspectral and thermal imaging
· Sun-induced fluorescence
· Agricultural UAVs
· Use of remote sensing data for defining Management Zones
· Use of remote sensing data for calibrating or improving crop models (data assimilation)
· Use of remote sensing data for disease/pest detection and management
· Fusion of remote sensing data with other data streams
· Generic (not crop specific) models and indices for estimating LAI, biomass and other key crop characteristics from remote sensing data
Dr. Raphael Linker
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. Agriculture 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 1600 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.
- Data assimilation
- Data-driven management of agricultural systems
- Hyperspectral/multispectral imaging
- Management zones
- Precision agriculture
- Sun-induced fluorescence
- Thermal imaging
- Unmanned aerial vehicles