Remote Sensing in Ecophysiological and Agricultural Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 3863
Special Issue Editors
Interests: neural networks; image processing; remote sensing; modelling; Imaging spectroscopy; hydrology; water management; image fusion; drought monitoring; PCNN; anthropogenic activities; long-term change detection; wetland identification
Special Issues, Collections and Topics in MDPI journals
Interests: plant diseases and pests; remote sensing; hyperspectral analysis; smart agriculture; monitoring model
Special Issues, Collections and Topics in MDPI journals
Interests: leaf biochemical and biophysical parameters; hypersepctral remote sensing; vertical distribution; multi-angle remote sensing; crop; precision agriculture
Interests: precision agriculture; UAV; hyperspectral remote sensing; data mining and analysis; image processing; deep learning
Special Issue Information
Dear Colleagues,
With a growing global population, sustainable agriculture becomes more and more important. While dealing with climate variability and change, how to produce more food of higher quality with limited resources is a great challenge. Therefore, information on the ecological and physiological (Ecophysiological) status of crops would be essential for crop growth diagnostics and yield prediction.
In this context, to fulfill these demands, there have been significant improvements in assessing plant Ecophysiology technologies. The developments in remote sensing, such as using ground-based, airborne, and satellite platforms, are providing new insight and capabilities for understanding vegetation and ecosystem properties, dynamics, and functional processes. Meanwhile, global observations span multiple spectral ranges (visible, near-infrared, thermal, microwave, etc.), enabling more precise documentation and a new understanding of vegetation changes and their environmental controls.
In this Special Issue on “Remote Sensing in Ecophysiological and Agricultural Applications”, we welcome topics that include, but are not limited to, the following:
- Precision agriculture
- UAV spectral sampling
- Vegetation phenology and stress
- Satellite environmental data
- Plant–climate interactions
- Plant Ecophysiology
- Crop growth monitoring
- Crop production and environmental quality
- Vegetation indices and other spectral transformations
Dr. Alireza Taravat
Dr. Lin Yuan
Dr. Weiping Kong
Prof. Dr. Dongyan Zhang
Guest Editors
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 submissions that pass pre-check are 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 2700 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.
Keywords
- plant ecophysiology
- precision agriculture
- unmanned aerial vehicles (UAVs)
- satellite remote sensing
- image data fusion
- climate change
- crop production
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