Special Issue "Remote and Proximal Sensing Applications in Agriculture"
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: closed (31 December 2017).
Interests: agronomic applications of Earth Observation; remote sensing; digital image processing; geoinformatics; spectroscopy; precision agriculture; UAV; crops; irrigation; soil
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Spectroscopic Analysis of Plants and Vegetation
Remote sensing allows the mapping of the Earth's surface from satellite or airborne systems, while proximal sensing systems collect detailed information near the surface. This offers a great advantage over previous data sources, as repetitive wide area coverage can be performed at a low cost, and estimations are performed in a non-destructive way. From satellite remote sensing to low-flying unmanned aerial vehicles (UAVs) and in-situ spectrometers, a large amount of data is collected to help farmers and agricultural policy makers to take informed decisions. Remote and proximal sensing systems can provide a multitude of information for agricultural applications, with the main objective being to map, monitor and model agricultural resources and the environmental impacts of agriculture.
The aim of this Special Issue is to collect state-of-the-art research of leading scientists in the world of agricultural applications of remote and proximal sensing. Submissions on the following topics are invited (but not limited to), as long as they focus on remote and proximal sensing:
- crop and grassland area estimates with pixel and object-based methods,
- yield predictions of crops and grasslands,
- remote and proximal data assimilation in crop growth models,
- early detection of crop stressors (pests, disease, deficiencies),
- crop damage assessment (frost, droughts, hail),
- change detection of agricultural lands and grasslands,
- UAVs for site-specific management (water, agrochemicals),
- precision agriculture,
- irrigated water use estimation,
- soil moisture mapping,
- spatio-temporal analysis of time series of agricultural parameters,
- analysis of hyperspectral data cubes for crop, soil and agricultural water,
- digital soil mapping,
- soil and plant spectroscopy,
- sensors for proximal sensing at field level,
- soil erosion, desertification and land degradation,
- environmental impacts of agriculture (e.g. impact on downstream water bodies related to water quantity and quality),
- mapping aquacultures
- quantitative remote sensing for mapping agricultural parameters (e.g. evapotranspiration, green biomass, leaf area index).
Papers must present innovative methods and approaches, or novel applications of existing tools.
Dr. Thomas Alexandridis
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. Journal of Imaging 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.
- remote sensing
- proximal sensing
- agricultural parameters
- precision farming
- satellite image